From 975ba1f482cefa54088572222efad084ebdda0b6 Mon Sep 17 00:00:00 2001 From: Scott Mueller Date: Sun, 14 Jun 2020 12:44:29 -0400 Subject: [PATCH] fastinference --- Tabular Notebooks/01_Adults.ipynb | 734 ++++- Text/01_Intro.ipynb | 2773 +++++++++++++++++ .../01_Intro-checkpoint.ipynb | 6 + .../02 ONNX-checkpoint.ipynb | 255 ++ fastinference/01_Intro.ipynb | 992 ++++++ fastinference/02 ONNX.ipynb | 255 ++ fastinference/tabular.onnx | Bin 0 -> 122764 bytes fastinference/tabular.pkl | Bin 0 -> 2115229 bytes 8 files changed, 4924 insertions(+), 91 deletions(-) create mode 100644 Text/01_Intro.ipynb create mode 100644 fastinference/.ipynb_checkpoints/01_Intro-checkpoint.ipynb create mode 100644 fastinference/.ipynb_checkpoints/02 ONNX-checkpoint.ipynb create mode 100644 fastinference/01_Intro.ipynb create mode 100644 fastinference/02 ONNX.ipynb create mode 100644 fastinference/tabular.onnx create mode 100644 fastinference/tabular.pkl diff --git a/Tabular Notebooks/01_Adults.ipynb b/Tabular Notebooks/01_Adults.ipynb index 23642d6..9297224 100644 --- a/Tabular Notebooks/01_Adults.ipynb +++ b/Tabular Notebooks/01_Adults.ipynb @@ -28,7 +28,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -44,41 +44,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [], - "text/plain": [ - "" - ] - }, - "metadata": { - "tags": [] - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "path = untar_data(URLs.ADULT_SAMPLE)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "(#3) [Path('/root/.fastai/data/adult_sample/adult.csv'),Path('/root/.fastai/data/adult_sample/export.pkl'),Path('/root/.fastai/data/adult_sample/models')]" + "(#3) [Path('/home/ml1/.fastai/data/adult_sample/models'),Path('/home/ml1/.fastai/data/adult_sample/export.pkl'),Path('/home/ml1/.fastai/data/adult_sample/adult.csv')]" ] }, - "execution_count": null, - "metadata": { - "tags": [] - }, + "execution_count": 3, + "metadata": {}, "output_type": "execute_result" } ], @@ -95,7 +80,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -111,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -248,20 +233,30 @@ "" ], "text/plain": [ - " age workclass fnlwgt ... hours-per-week native-country salary\n", - "0 49 Private 101320 ... 40 United-States >=50k\n", - "1 44 Private 236746 ... 45 United-States >=50k\n", - "2 38 Private 96185 ... 32 United-States <50k\n", - "3 38 Self-emp-inc 112847 ... 40 United-States >=50k\n", - "4 42 Self-emp-not-inc 82297 ... 50 United-States <50k\n", + " age workclass fnlwgt education education-num \\\n", + "0 49 Private 101320 Assoc-acdm 12.0 \n", + "1 44 Private 236746 Masters 14.0 \n", + "2 38 Private 96185 HS-grad NaN \n", + "3 38 Self-emp-inc 112847 Prof-school 15.0 \n", + "4 42 Self-emp-not-inc 82297 7th-8th NaN \n", + "\n", + " marital-status occupation relationship race \\\n", + "0 Married-civ-spouse NaN Wife White \n", + "1 Divorced Exec-managerial Not-in-family White \n", + "2 Divorced NaN Unmarried Black \n", + "3 Married-civ-spouse Prof-specialty Husband Asian-Pac-Islander \n", + "4 Married-civ-spouse Other-service Wife Black \n", "\n", - "[5 rows x 15 columns]" + " sex capital-gain capital-loss hours-per-week native-country salary \n", + "0 Female 0 1902 40 United-States >=50k \n", + "1 Male 10520 0 45 United-States >=50k \n", + "2 Female 0 0 32 United-States <50k \n", + "3 Male 0 0 40 United-States >=50k \n", + "4 Female 0 0 50 United-States <50k " ] }, - "execution_count": null, - "metadata": { - "tags": [] - }, + "execution_count": 5, + "metadata": {}, "output_type": "execute_result" } ], @@ -287,7 +282,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -307,21 +302,27 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "heading_collapsed": true + }, "source": [ "## `Categorify`" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "`Categorify` will transform columns that are in your `cat_names` into that type, along with label encoding our categorical data:" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "First we'll make an instance of it:" ] @@ -329,7 +330,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [], "source": [ "cat = Categorify()" @@ -338,7 +341,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [ { "data": { @@ -374,7 +379,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "And now let's try transforming a dataframe" ] @@ -382,7 +389,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [], "source": [ "to = TabularPandas(df, cat, cat_names)" @@ -391,7 +400,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [], "source": [ "cats = to.procs.categorify" @@ -399,7 +410,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "Let's take a look at the categories:" ] @@ -407,7 +420,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [ { "data": { @@ -428,7 +443,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "We can see that it added a `#na#` category. Let's look at the actual column:" ] @@ -436,7 +453,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [ { "data": { @@ -500,14 +519,18 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "We can see that for instance `occupation` got returned a `#na#` value (as it was missing)" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "And if we call `to.cats` we can see our one-hot encoded variables:" ] @@ -515,7 +538,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [ { "data": { @@ -618,7 +643,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "heading_collapsed": true + }, "source": [ "# `Normalize`\n", "\n", @@ -628,7 +655,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [], "source": [ "norm = NormalizeTab()" @@ -636,7 +665,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "Let's make another `to`" ] @@ -644,7 +675,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [ { "data": { @@ -666,7 +699,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [], "source": [ "to = TabularPandas(df, norm, cont_names=cont_names)" @@ -675,7 +710,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [], "source": [ "norms = to.procs.normalize_tab" @@ -683,14 +720,18 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "Let's take a look:" ] }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "We can grab the means and standard deviations like so:" ] @@ -698,7 +739,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [ { "data": { @@ -723,7 +766,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [ { "data": { @@ -747,7 +792,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "And we can also call `to.conts` to take a look at our transformed data:" ] @@ -755,7 +802,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [ { "data": { @@ -840,7 +889,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "heading_collapsed": true + }, "source": [ "# `FillMissing`\n", "\n", @@ -853,7 +904,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "By default it uses `median`:" ] @@ -861,7 +914,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [], "source": [ "fm = FillMissing(fill_strategy=FillStrategy.median)" @@ -869,7 +924,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "We'll recreate another `TabularPandas`:" ] @@ -877,7 +934,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [], "source": [ "to = TabularPandas(df, fm, cont_names=cont_names)" @@ -885,7 +944,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "Let's look at those missing values in the first few rows:" ] @@ -893,7 +954,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [ { "data": { @@ -978,7 +1041,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "**But wait!** There's more!" ] @@ -986,7 +1051,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [ { "data": { @@ -1007,7 +1074,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "We have categorical values?! Yes! " ] @@ -1015,7 +1084,9 @@ { "cell_type": "code", "execution_count": null, - "metadata": {}, + "metadata": { + "hidden": true + }, "outputs": [ { "data": { @@ -1088,7 +1159,9 @@ }, { "cell_type": "markdown", - "metadata": {}, + "metadata": { + "hidden": true + }, "source": [ "We now have an additional boolean value based on if the value was missing or not too!" ] @@ -1104,7 +1177,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -1113,20 +1186,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "((#26049) [22673,29840,11742,23001,21721,23290,24990,28685,14661,27740...],\n", - " (#6512) [27471,16453,21840,533,23680,20057,31784,23100,32292,15852...])" + "((#26049) [1315,27681,27976,6797,475,10152,14794,4256,31558,20331...],\n", + " (#6512) [6449,16754,12661,18002,28716,2451,18846,32552,13308,14366...])" ] }, - "execution_count": null, - "metadata": { - "tags": [] - }, + "execution_count": 8, + "metadata": {}, "output_type": "execute_result" } ], @@ -1143,7 +1214,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -1152,10 +1223,8 @@ "([0, 1, 2, 3, 4], 32561)" ] }, - "execution_count": null, - "metadata": { - "tags": [] - }, + "execution_count": 9, + "metadata": {}, "output_type": "execute_result" } ], @@ -1172,7 +1241,419 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "vocab = ['>=50k', '<50k']" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "class myCategorize(Transform):\n", + " \"Reversible transform of category string to `vocab` id\"\n", + " loss_func,order=CrossEntropyLossFlat(),1\n", + " def __init__(self, vocab=None, add_na=False, sort=True):\n", + " self.add_na = add_na\n", + " self.vocab = None if vocab is None else CategoryMap(vocab, sort=sort, add_na=add_na)\n", + "\n", + " def setups(self, dsets):\n", + " if self.vocab is None and dsets is not None: self.vocab = CategoryMap(dsets, sort=sort, add_na=self.add_na)\n", + " self.c = len(self.vocab)\n", + "\n", + " def encodes(self, o): return TensorCategory(self.vocab.o2i[o])\n", + " def decodes(self, o): return Category (self.vocab [o])" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "def myCategoryBlock(vocab=None, sort=True, add_na=False):\n", + " return TransformBlock(type_tfms=myCategorize(vocab=vocab, sort=sort, add_na=add_na))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "pd.set_option('mode.chained_assignment','raise')\n", + "\n", + "# Cell\n", + "def make_date(df, date_field):\n", + " \"Make sure `df[date_field]` is of the right date type.\"\n", + " field_dtype = df[date_field].dtype\n", + " if isinstance(field_dtype, pd.core.dtypes.dtypes.DatetimeTZDtype):\n", + " field_dtype = np.datetime64\n", + " if not np.issubdtype(field_dtype, np.datetime64):\n", + " df[date_field] = pd.to_datetime(df[date_field], infer_datetime_format=True)\n", + "\n", + "# Cell\n", + "def add_datepart(df, field_name, prefix=None, drop=True, time=False):\n", + " \"Helper function that adds columns relevant to a date in the column `field_name` of `df`.\"\n", + " make_date(df, field_name)\n", + " field = df[field_name]\n", + " prefix = ifnone(prefix, re.sub('[Dd]ate$', '', field_name))\n", + " attr = ['Year', 'Month', 'Week', 'Day', 'Dayofweek', 'Dayofyear', 'Is_month_end', 'Is_month_start',\n", + " 'Is_quarter_end', 'Is_quarter_start', 'Is_year_end', 'Is_year_start']\n", + " if time: attr = attr + ['Hour', 'Minute', 'Second']\n", + " for n in attr: df[prefix + n] = getattr(field.dt, n.lower())\n", + " df[prefix + 'Elapsed'] = field.astype(np.int64) // 10 ** 9\n", + " if drop: df.drop(field_name, axis=1, inplace=True)\n", + " return df\n", + "\n", + "# Cell\n", + "def _get_elapsed(df,field_names, date_field, base_field, prefix):\n", + " for f in field_names:\n", + " day1 = np.timedelta64(1, 'D')\n", + " last_date,last_base,res = np.datetime64(),None,[]\n", + " for b,v,d in zip(df[base_field].values, df[f].values, df[date_field].values):\n", + " if last_base is None or b != last_base:\n", + " last_date,last_base = np.datetime64(),b\n", + " if v: last_date = d\n", + " res.append(((d-last_date).astype('timedelta64[D]') / day1))\n", + " df[prefix + f] = res\n", + " return df\n", + "\n", + "# Cell\n", + "def add_elapsed_times(df, field_names, date_field, base_field):\n", + " \"Add in `df` for each event in `field_names` the elapsed time according to `date_field` grouped by `base_field`\"\n", + " field_names = list(L(field_names))\n", + " #Make sure date_field is a date and base_field a bool\n", + " df[field_names] = df[field_names].astype('bool')\n", + " make_date(df, date_field)\n", + "\n", + " work_df = df[field_names + [date_field, base_field]]\n", + " work_df = work_df.sort_values([base_field, date_field])\n", + " work_df = _get_elapsed(work_df, field_names, date_field, base_field, 'After')\n", + " work_df = work_df.sort_values([base_field, date_field], ascending=[True, False])\n", + " work_df = _get_elapsed(work_df, field_names, date_field, base_field, 'Before')\n", + "\n", + " for a in ['After' + f for f in field_names] + ['Before' + f for f in field_names]:\n", + " work_df[a] = work_df[a].fillna(0).astype(int)\n", + "\n", + " for a,s in zip([True, False], ['_bw', '_fw']):\n", + " work_df = work_df.set_index(date_field)\n", + " tmp = (work_df[[base_field] + field_names].sort_index(ascending=a)\n", + " .groupby(base_field).rolling(7, min_periods=1).sum())\n", + " tmp.drop(base_field,1,inplace=True)\n", + " tmp.reset_index(inplace=True)\n", + " work_df.reset_index(inplace=True)\n", + " work_df = work_df.merge(tmp, 'left', [date_field, base_field], suffixes=['', s])\n", + " work_df.drop(field_names,1,inplace=True)\n", + " return df.merge(work_df, 'left', [date_field, base_field])\n", + "\n", + "# Cell\n", + "def cont_cat_split(df, max_card=20, dep_var=None):\n", + " \"Helper function that returns column names of cont and cat variables from given `df`.\"\n", + " cont_names, cat_names = [], []\n", + " for label in df:\n", + " if label == dep_var: continue\n", + " if df[label].dtype == int and df[label].unique().shape[0] > max_card or df[label].dtype == float:\n", + " cont_names.append(label)\n", + " else: cat_names.append(label)\n", + " return cont_names, cat_names\n", + "\n", + "# Cell\n", + "def df_shrink_dtypes(df, skip=[], obj2cat=True, int2uint=False):\n", + " \"Return any possible smaller data types for DataFrame columns. Allows `object`->`category`, `int`->`uint`, and exclusion.\"\n", + "\n", + " # 1: Build column filter and typemap\n", + " excl_types, skip = {'category','datetime64[ns]','bool'}, set(skip)\n", + "\n", + " typemap = {'int' : [(np.dtype(x), np.iinfo(x).min, np.iinfo(x).max) for x in (np.int8, np.int16, np.int32, np.int64)],\n", + " 'uint' : [(np.dtype(x), np.iinfo(x).min, np.iinfo(x).max) for x in (np.uint8, np.uint16, np.uint32, np.uint64)],\n", + " 'float' : [(np.dtype(x), np.finfo(x).min, np.finfo(x).max) for x in (np.float32, np.float64, np.float128)],}\n", + " if obj2cat: typemap['object'] = 'category' # User wants to categorify dtype('Object'), which may not always save space\n", + " else: excl_types.add('object')\n", + "\n", + " new_dtypes = {}\n", + " exclude = lambda dt: dt[1].name not in excl_types and dt[0] not in skip\n", + "\n", + " for c, old_t in filter(exclude, df.dtypes.items()):\n", + " t = next((v for k,v in typemap.items() if old_t.name.startswith(k)), None)\n", + "\n", + " if isinstance(t, list): # Find the smallest type that fits\n", + " if int2uint and t==typemap['int'] and df[c].min() >= 0: t=typemap['uint']\n", + " new_t = next((r[0] for r in t if r[1]<=df[c].min() and r[2]>=df[c].max()), None)\n", + " if new_t and new_t == old_t: new_t = None\n", + " else: new_t = t if isinstance(t, str) else None\n", + "\n", + " if new_t: new_dtypes[c] = new_t\n", + " return new_dtypes\n", + "\n", + "# Cell\n", + "def df_shrink(df, skip=[], obj2cat=True, int2uint=False):\n", + " \"Reduce DataFrame memory usage, by casting to smaller types returned by `df_shrink_dtypes()`.\"\n", + " dt = df_shrink_dtypes(df, skip, obj2cat=obj2cat, int2uint=int2uint)\n", + " return df.astype(dt)\n", + "\n", + "# Cell\n", + "class _TabIloc:\n", + " \"Get/set rows by iloc and cols by name\"\n", + " def __init__(self,to): self.to = to\n", + " def __getitem__(self, idxs):\n", + " df = self.to.items\n", + " if isinstance(idxs,tuple):\n", + " rows,cols = idxs\n", + " cols = df.columns.isin(cols) if is_listy(cols) else df.columns.get_loc(cols)\n", + " else: rows,cols = idxs,slice(None)\n", + " return self.to.new(df.iloc[rows, cols])\n", + "\n", + "# Cell\n", + "class Tabular(CollBase, GetAttr, FilteredBase):\n", + " \"A `DataFrame` wrapper that knows which cols are cont/cat/y, and returns rows in `__getitem__`\"\n", + " _default,with_cont='procs',True\n", + " def __init__(self, df, procs=None, cat_names=None, cont_names=None, y_names=None, y_block=None, splits=None,\n", + " do_setup=True, device=None, inplace=False, reduce_memory=True):\n", + " if inplace and splits is not None and pd.options.mode.chained_assignment is not None:\n", + " warn(\"Using inplace with splits will trigger a pandas error. Set `pd.options.mode.chained_assignment=None` to avoid it.\")\n", + " if not inplace: df = df.copy()\n", + " if splits is not None: df = df.iloc[sum(splits, [])]\n", + " self.dataloaders = delegates(self._dl_type.__init__)(self.dataloaders)\n", + " super().__init__(df)\n", + "\n", + " self.y_names,self.device = L(y_names),device\n", + " if y_block is None and self.y_names:\n", + " # Make ys categorical if they're not numeric\n", + " ys = df[self.y_names]\n", + " if len(ys.select_dtypes(include='number').columns)!=len(ys.columns): y_block = CategoryBlock()\n", + " else: y_block = RegressionBlock()\n", + " if y_block is not None and do_setup:\n", + " if callable(y_block): y_block = y_block()\n", + " procs = L(procs) + y_block.type_tfms\n", + " self.cat_names,self.cont_names,self.procs = L(cat_names),L(cont_names),Pipeline(procs)\n", + " self.split = len(df) if splits is None else len(splits[0])\n", + " if reduce_memory:\n", + " if len(self.cat_names) > 0: self.reduce_cats()\n", + " if len(self.cont_names) > 0: self.reduce_conts()\n", + " if do_setup: self.setup()\n", + "\n", + " def new(self, df):\n", + " return type(self)(df, do_setup=False, reduce_memory=False, y_block=TransformBlock(),\n", + " **attrdict(self, 'procs','cat_names','cont_names','y_names', 'device'))\n", + "\n", + " def subset(self, i): return self.new(self.items[slice(0,self.split) if i==0 else slice(self.split,len(self))])\n", + " def copy(self): self.items = self.items.copy(); return self\n", + " def decode(self): return self.procs.decode(self)\n", + " def decode_row(self, row): return self.new(pd.DataFrame(row).T).decode().items.iloc[0]\n", + " def reduce_cats(self): self.train[self.cat_names] = self.train[self.cat_names].astype('category')\n", + " def reduce_conts(self): self[self.cont_names] = self[self.cont_names].astype(np.float32)\n", + " def show(self, max_n=10, **kwargs): display_df(self.new(self.all_cols[:max_n]).decode().items)\n", + " def setup(self): self.procs.setup(self)\n", + " def process(self): self.procs(self)\n", + " def loc(self): return self.items.loc\n", + " def iloc(self): return _TabIloc(self)\n", + " def targ(self): return self.items[self.y_names]\n", + " def x_names (self): return self.cat_names + self.cont_names\n", + " def n_subsets(self): return 2\n", + " def y(self): return self[self.y_names[0]]\n", + " def new_empty(self): return self.new(pd.DataFrame({}, columns=self.items.columns))\n", + " def to_device(self, d=None):\n", + " self.device = d\n", + " return self\n", + "\n", + " def all_col_names (self):\n", + " ys = [n for n in self.y_names if n in self.items.columns]\n", + " return self.x_names + self.y_names if len(ys) == len(self.y_names) else self.x_names\n", + "\n", + "properties(Tabular,'loc','iloc','targ','all_col_names','n_subsets','x_names','y')\n", + "\n", + "# Cell\n", + "class TabularPandas(Tabular):\n", + " def transform(self, cols, f, all_col=True):\n", + " if not all_col: cols = [c for c in cols if c in self.items.columns]\n", + " if len(cols) > 0: self[cols] = self[cols].transform(f)\n", + "\n", + "# Cell\n", + "def _add_prop(cls, nm):\n", + " @property\n", + " def f(o): return o[list(getattr(o,nm+'_names'))]\n", + " @f.setter\n", + " def fset(o, v): o[getattr(o,nm+'_names')] = v\n", + " setattr(cls, nm+'s', f)\n", + " setattr(cls, nm+'s', fset)\n", + "\n", + "_add_prop(Tabular, 'cat')\n", + "_add_prop(Tabular, 'cont')\n", + "_add_prop(Tabular, 'y')\n", + "_add_prop(Tabular, 'x')\n", + "_add_prop(Tabular, 'all_col')\n", + "\n", + "# Cell\n", + "class TabularProc(InplaceTransform):\n", + " \"Base class to write a non-lazy tabular processor for dataframes\"\n", + " def setup(self, items=None, train_setup=False): #TODO: properly deal with train_setup\n", + " super().setup(getattr(items,'train',items), train_setup=False)\n", + " # Procs are called as soon as data is available\n", + " return self(items.items if isinstance(items,Datasets) else items)\n", + "\n", + "# Cell\n", + "def _apply_cats (voc, add, c):\n", + " if not is_categorical_dtype(c):\n", + " return pd.Categorical(c, categories=voc[c.name][add:]).codes+add\n", + " return c.cat.codes+add #if is_categorical_dtype(c) else c.map(voc[c.name].o2i)\n", + "def _decode_cats(voc, c): return c.map(dict(enumerate(voc[c.name].items)))\n", + "\n", + "# Cell\n", + "class Categorify(TabularProc):\n", + " \"Transform the categorical variables to that type.\"\n", + " order = 1\n", + " def setups(self, to):\n", + " self.classes = {n:CategoryMap(to.iloc[:,n].items, add_na=(n in to.cat_names)) for n in to.cat_names}\n", + "\n", + " def encodes(self, to): to.transform(to.cat_names, partial(_apply_cats, self.classes, 1))\n", + " def decodes(self, to): to.transform(to.cat_names, partial(_decode_cats, self.classes))\n", + " def __getitem__(self,k): return self.classes[k]\n", + "\n", + "# Cell\n", + "@myCategorize\n", + "def setups(self, to:Tabular):\n", + " if len(to.y_names) > 0:\n", + " if self.vocab is None:\n", + " self.vocab = CategoryMap(getattr(to, 'train', to).iloc[:,to.y_names[0]].items)\n", + " else:\n", + " self.vocab = CategoryMap(self.vocab, sort=False, add_na=self.add_na)\n", + " self.c = len(self.vocab)\n", + " return self(to)\n", + "\n", + "@myCategorize\n", + "def encodes(self, to:Tabular):\n", + " to.transform(to.y_names, partial(_apply_cats, {n: self.vocab for n in to.y_names}, 0), all_col=False)\n", + " return to\n", + "\n", + "@myCategorize\n", + "def decodes(self, to:Tabular):\n", + " to.transform(to.y_names, partial(_decode_cats, {n: self.vocab for n in to.y_names}), all_col=False)\n", + " return to\n", + "\n", + "# Cell\n", + "class NormalizeTab(TabularProc):\n", + " \"Normalize the continuous variables.\"\n", + " order = 2\n", + " def setups(self, dsets): self.means,self.stds = dsets.conts.mean(),dsets.conts.std(ddof=0)+1e-7\n", + " def encodes(self, to): to.conts = (to.conts-self.means) / self.stds\n", + " def decodes(self, to): to.conts = (to.conts*self.stds ) + self.means\n", + "\n", + "# Cell\n", + "@Normalize\n", + "def setups(self, to:Tabular):\n", + " self.means,self.stds = getattr(to, 'train', to).conts.mean(),getattr(to, 'train', to).conts.std(ddof=0)+1e-7\n", + " return self(to)\n", + "\n", + "@Normalize\n", + "def encodes(self, to:Tabular):\n", + " to.conts = (to.conts-self.means) / self.stds\n", + " return to\n", + "\n", + "@Normalize\n", + "def decodes(self, to:Tabular):\n", + " to.conts = (to.conts*self.stds ) + self.means\n", + " return to\n", + "\n", + "# Cell\n", + "class FillStrategy:\n", + " \"Namespace containing the various filling strategies.\"\n", + " def median (c,fill): return c.median()\n", + " def constant(c,fill): return fill\n", + " def mode (c,fill): return c.dropna().value_counts().idxmax()\n", + "\n", + "# Cell\n", + "class FillMissing(TabularProc):\n", + " \"Fill the missing values in continuous columns.\"\n", + " def __init__(self, fill_strategy=FillStrategy.median, add_col=True, fill_vals=None):\n", + " if fill_vals is None: fill_vals = defaultdict(int)\n", + " store_attr(self, 'fill_strategy,add_col,fill_vals')\n", + "\n", + " def setups(self, dsets):\n", + " missing = pd.isnull(dsets.conts).any()\n", + " self.na_dict = {n:self.fill_strategy(dsets[n], self.fill_vals[n])\n", + " for n in missing[missing].keys()}\n", + "\n", + " def encodes(self, to):\n", + " missing = pd.isnull(to.conts)\n", + " for n in missing.any()[missing.any()].keys():\n", + " assert n in self.na_dict, f\"nan values in `{n}` but not in setup training set\"\n", + " for n in self.na_dict.keys():\n", + " to[n].fillna(self.na_dict[n], inplace=True)\n", + " if self.add_col:\n", + " to.loc[:,n+'_na'] = missing[n]\n", + " if n+'_na' not in to.cat_names: to.cat_names.append(n+'_na')\n", + "\n", + "# Cell\n", + "def _maybe_expand(o): return o[:,None] if o.ndim==1 else o\n", + "\n", + "# Cell\n", + "class ReadTabBatch(ItemTransform):\n", + " def __init__(self, to): self.to = to\n", + "\n", + " def encodes(self, to):\n", + " if not to.with_cont: res = (tensor(to.cats).long(),)\n", + " else: res = (tensor(to.cats).long(),tensor(to.conts).float())\n", + " ys = [n for n in to.y_names if n in to.items.columns]\n", + " if len(ys) == len(to.y_names): res = res + (tensor(to.targ),)\n", + " if to.device is not None: res = to_device(res, to.device)\n", + " return res\n", + "\n", + " def decodes(self, o):\n", + " o = [_maybe_expand(o_) for o_ in to_np(o) if o_.size != 0]\n", + " vals = np.concatenate(o, axis=1)\n", + " try: df = pd.DataFrame(vals, columns=self.to.all_col_names)\n", + " except: df = pd.DataFrame(vals, columns=self.to.x_names)\n", + " to = self.to.new(df)\n", + " return to\n", + "\n", + "# Cell\n", + "@typedispatch\n", + "def show_batch(x: Tabular, y, its, max_n=10, ctxs=None):\n", + " x.show()\n", + "\n", + "# Cell\n", + "@delegates()\n", + "class TabDataLoader(TfmdDL):\n", + " do_item = noops\n", + " def __init__(self, dataset, bs=16, shuffle=False, after_batch=None, num_workers=0, **kwargs):\n", + " if after_batch is None: after_batch = L(TransformBlock().batch_tfms)+ReadTabBatch(dataset)\n", + " super().__init__(dataset, bs=bs, shuffle=shuffle, after_batch=after_batch, num_workers=num_workers, **kwargs)\n", + "\n", + " def create_batch(self, b): return self.dataset.iloc[b]\n", + "\n", + "TabularPandas._dl_type = TabDataLoader\n", + "\n", + "# Cell\n", + "@EncodedMultiCategorize\n", + "def encodes(self, to:Tabular): return to\n", + "\n", + "@EncodedMultiCategorize\n", + "def decodes(self, to:Tabular):\n", + " to.transform(to.y_names, lambda c: c==1)\n", + " return to\n", + "\n", + "# Cell\n", + "@RegressionSetup\n", + "def setups(self, to:Tabular):\n", + " if self.c is not None: return\n", + " self.c = len(to.y_names)\n", + " return to\n", + "\n", + "@RegressionSetup\n", + "def encodes(self, to:Tabular): return to\n", + "\n", + "@RegressionSetup\n", + "def decodes(self, to:Tabular): return to" + ] + }, + { + "cell_type": "code", + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -1192,7 +1673,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -1216,13 +1697,59 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "dls = to.dataloaders()" ] }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(#2) ['<50k','>=50k']" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dls.vocab" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "i2c", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in 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234\u001b[0;31m \u001b[0;32mif\u001b[0m \u001b[0mattr\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mattr\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 235\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mAttributeError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mk\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 236\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m__dir__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0;32mreturn\u001b[0m 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"file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.7" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": false, + "sideBar": true, + "skip_h1_title": true, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": true } }, "nbformat": 4, diff --git a/Text/01_Intro.ipynb b/Text/01_Intro.ipynb new file mode 100644 index 0000000..daf9cb8 --- /dev/null +++ b/Text/01_Intro.ipynb @@ -0,0 +1,2773 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "01_Intro.ipynb", + "provenance": [], + "collapsed_sections": [ + "iUuTz5lhvE7-", + "pfIgSg3m1dJ2" + ] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "metadata": { + "id": "6zDcMygfGpaJ", + "colab_type": "text" + }, + "source": [ + "# 01 - Intro to Natural Language Processing\n", + "* What is NLP?\n", + "* Some examples:\n", + " * Part-of-speech tagging: identify if each word is a noun, verb, adjective, etc.)\n", + " * Named entity recognition NER): identify person names, organizations, locations, medical codes, time expressions, quantities, monetary values, etc)\n", + " * Question answering\n", + " * Speech recognition\n", + " * Text-to-speech and Speech-to-text\n", + " * Topic modeling\n", + " * Sentiment classification\n", + " * Language modeling\n", + " * Translation\n", + " \n", + "* Some caviates: \n", + " * Can and will take longer to train\n", + " * The fastai has made some improvements, but expect 1-2 hrs on real datasets, if not longer" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5gX-qEY4HkqQ", + "colab_type": "text" + }, + "source": [ + "# What will we be doing today?\n", + "\n", + "## IMDB\n", + "* Sentement analysis of movie reviews and rating if something was good or bad" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "Q6ypDPIJCOyf", + "colab_type": "code", + "colab": {} + }, + "source": [ + "!pip install git+https://github.com/fastai/fastai2.git -q\n", + "!pip install git+https://github.com/fastai/fastcore.git -q" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "gtdf-GPvGebm", + "colab_type": "code", + "colab": {} + }, + "source": [ + "from fastai2.text.all import *" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "jfkbbLFnIEzF", + "colab_type": "text" + }, + "source": [ + "# Data Preparation" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "ZyRspIRIID4Z", + "colab_type": "code", + "outputId": "d8f85075-c491-4434-c427-6eff34fec801", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + } + }, + "source": [ + "path = untar_data(URLs.IMDB_SAMPLE)\n", + "path.ls()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(#1) [Path('/root/.fastai/data/imdb_sample/texts.csv')]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 3 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "JcQCvW49IMJw", + "colab_type": "text" + }, + "source": [ + "Our sample just has one file, let's take a look" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "Rk0XXsXmIKU7", + "colab_type": "code", + "outputId": "6b162371-8dd3-464e-da28-0520fc2649f6", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 595 + } + }, + "source": [ + "df = pd.read_csv(f'{path}/texts.csv')\n", + "df.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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labeltextis_valid
0negativeUn-bleeping-believable! Meg Ryan doesn't even look her usual pert lovable self in this, which normally makes me forgive her shallow ticky acting schtick. Hard to believe she was the producer on this dog. Plus Kevin Kline: what kind of suicide trip has his career been on? Whoosh... Banzai!!! Finally this was directed by the guy who did Big Chill? Must be a replay of Jonestown - hollywood style. Wooofff!False
1positiveThis is a extremely well-made film. The acting, script and camera-work are all first-rate. The music is good, too, though it is mostly early in the film, when things are still relatively cheery. There are no really superstars in the cast, though several faces will be familiar. The entire cast does an excellent job with the script.<br /><br />But it is hard to watch, because there is no good end to a situation like the one presented. It is now fashionable to blame the British for setting Hindus and Muslims against each other, and then cruelly separating them into two countries. There is som...False
2negativeEvery once in a long while a movie will come along that will be so awful that I feel compelled to warn people. If I labor all my days and I can save but one soul from watching this movie, how great will be my joy.<br /><br />Where to begin my discussion of pain. For starters, there was a musical montage every five minutes. There was no character development. Every character was a stereotype. We had swearing guy, fat guy who eats donuts, goofy foreign guy, etc. The script felt as if it were being written as the movie was being shot. The production value was so incredibly low that it felt li...False
3positiveName just says it all. I watched this movie with my dad when it came out and having served in Korea he had great admiration for the man. The disappointing thing about this film is that it only concentrate on a short period of the man's life - interestingly enough the man's entire life would have made such an epic bio-pic that it is staggering to imagine the cost for production.<br /><br />Some posters elude to the flawed characteristics about the man, which are cheap shots. The theme of the movie \"Duty, Honor, Country\" are not just mere words blathered from the lips of a high-brassed offic...False
4negativeThis movie succeeds at being one of the most unique movies you've seen. However this comes from the fact that you can't make heads or tails of this mess. It almost seems as a series of challenges set up to determine whether or not you are willing to walk out of the movie and give up the money you just paid. If you don't want to feel slighted you'll sit through this horrible film and develop a real sense of pity for the actors involved, they've all seen better days, but then you realize they actually got paid quite a bit of money to do this and you'll lose pity for them just like you've alr...False
\n", + "
" + ], + "text/plain": [ + " label ... is_valid\n", + "0 negative ... False\n", + "1 positive ... False\n", + "2 negative ... False\n", + "3 positive ... False\n", + "4 negative ... False\n", + "\n", + "[5 rows x 3 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 4 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "mp4ERegNIRe-", + "colab_type": "code", + "outputId": "a2d54180-8866-429e-8995-51e4c7e9b39d", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 54 + } + }, + "source": [ + "df['text'][1]" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "'This is a extremely well-made film. The acting, script and camera-work are all first-rate. The music is good, too, though it is mostly early in the film, when things are still relatively cheery. There are no really superstars in the cast, though several faces will be familiar. The entire cast does an excellent job with the script.

But it is hard to watch, because there is no good end to a situation like the one presented. It is now fashionable to blame the British for setting Hindus and Muslims against each other, and then cruelly separating them into two countries. There is some merit in this view, but it\\'s also true that no one forced Hindus and Muslims in the region to mistreat each other as they did around the time of partition. It seems more likely that the British simply saw the tensions between the religions and were clever enough to exploit them to their own ends.

The result is that there is much cruelty and inhumanity in the situation and this is very unpleasant to remember and to see on the screen. But it is never painted as a black-and-white case. There is baseness and nobility on both sides, and also the hope for change in the younger generation.

There is redemption of a sort, in the end, when Puro has to make a hard choice between a man who has ruined her life, but also truly loved her, and her family which has disowned her, then later come looking for her. But by that point, she has no option that is without great pain for her.

This film carries the message that both Muslims and Hindus have their grave faults, and also that both can be dignified and caring people. The reality of partition makes that realisation all the more wrenching, since there can never be real reconciliation across the India/Pakistan border. In that sense, it is similar to \"Mr & Mrs Iyer\".

In the end, we were glad to have seen the film, even though the resolution was heartbreaking. If the UK and US could deal with their own histories of racism with this kind of frankness, they would certainly be better off.'" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 5 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "rEwYflOhIe2M", + "colab_type": "text" + }, + "source": [ + "# Pipeline\n", + "\n", + "For NLP tasks, we have a bit of a different pipeline. We will train two models, a language model which will act as our embeddings, and a classifier on top. The model itself is called ULM-FiT.\n", + "\n", + "Language model: We will train on our entire corpus's language (subject), usually pretrained on your language of choice (English, Spanish, etc.)\n", + "\n", + "Classifier: We load in our initial language model and pop on a classifier on top." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "HRXXCVfmIZnz", + "colab_type": "text" + }, + "source": [ + "Our csv contains one line per review, with the label ('negative' or 'positive'), the text and a flag to determine if it should be part of the validation set or the training set. If we ignore this flag, we can create a DataBunch containing this data in one line of code:" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "Ar5ObyfACtq-", + "colab_type": "code", + "outputId": "d5e9fa60-13b7-45dd-bd40-f21f6c2cecc9", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 17 + } + }, + "source": [ + "data_lm = TextDataLoaders.from_csv(path, 'texts.csv', text_col='text', is_lm=True)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "Jl8NfipnI-BL", + "colab_type": "code", + "outputId": "1a29d47c-878f-4d27-9c39-d61fa1713853", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + } + }, + "source": [ + "data_lm.show_batch()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
texttext_
0xxbos xxmaj john xxmaj xxunk 's \" deliverance \" concerns four xxunk xxmaj atlanta xxunk who take a ride down the swift waters of the xxmaj xxunk …▁ xxmaj the river is about to disappear for a xxunk construction and the xxunk of the last xxunk xxunk of land xxunk xxmaj the four friends emphasize different characters : a xxunk sports xxunk who has never been xxunk in his life since therexxmaj john xxmaj xxunk 's \" deliverance \" concerns four xxunk xxmaj atlanta xxunk who take a ride down the swift waters of the xxmaj xxunk …▁ xxmaj the river is about to disappear for a xxunk construction and the xxunk of the last xxunk xxunk of land xxunk xxmaj the four friends emphasize different characters : a xxunk sports xxunk who has never been xxunk in his life since there is
1like real bugs . xxmaj it 's like the team that made the movie found a way to bring us into the mind of a child and allow us to think like them , to imagine bugs the way a young mind does . \\n\\n xxmaj xxunk , i xxmaj xxunk xxmaj the xxmaj kids was one of my favorite films when i was younger , and to me , a xxmajreal bugs . xxmaj it 's like the team that made the movie found a way to bring us into the mind of a child and allow us to think like them , to imagine bugs the way a young mind does . \\n\\n xxmaj xxunk , i xxmaj xxunk xxmaj the xxmaj kids was one of my favorite films when i was younger , and to me , a xxmaj bug
2n't all that hard to do anyway ) , slightly that is . xxmaj you know you have a problem when some of the suitors are actually hotter and more interesting than the leading man . xxmaj and the fact that the suitors seem to have more fun around xxup each xxup other than with the leading man ? xxmaj very sad . \\n\\n xxmaj also , i just thought that xxmajall that hard to do anyway ) , slightly that is . xxmaj you know you have a problem when some of the suitors are actually hotter and more interesting than the leading man . xxmaj and the fact that the suitors seem to have more fun around xxup each xxup other than with the leading man ? xxmaj very sad . \\n\\n xxmaj also , i just thought that xxmaj i
3age , this particular film suffers because xxmaj fox xxmaj studios oddly cast them in a supporting role and created a parallel plot involving a young couple -- something that reduced their time on screen xxup and turned them into insipid \" xxunk on \" instead of just being themselves . a cute and xxunk xxmaj stan and xxmaj ollie is very foreign to the old xxmaj laurel and xxmaj hardy of, this particular film suffers because xxmaj fox xxmaj studios oddly cast them in a supporting role and created a parallel plot involving a young couple -- something that reduced their time on screen xxup and turned them into insipid \" xxunk on \" instead of just being themselves . a cute and xxunk xxmaj stan and xxmaj ollie is very foreign to the old xxmaj laurel and xxmaj hardy of the
4so . xxmaj in fact , the plot is constructed in such a way so that the girl gets no one . \\n\\n xxmaj there is an early scene where xxmaj johansson , for no reason central to the movie , allows herself to be gotten drunk , and seduced , by a powerful , older director . \" seduced \" is a xxunk for what happens . xxmaj it 's a. xxmaj in fact , the plot is constructed in such a way so that the girl gets no one . \\n\\n xxmaj there is an early scene where xxmaj johansson , for no reason central to the movie , allows herself to be gotten drunk , and seduced , by a powerful , older director . \" seduced \" is a xxunk for what happens . xxmaj it 's a \"
5also , instead of simply showing racism for the ugly and stupid thing it is , xxmaj spike xxmaj lee chooses to wave it around like a flag in a most xxunk and irritating manner . i made it through most of the film but i could n't quite finish it , and that , for me , rarely happens . xxbos xxmaj plot = xxmaj melissa is a new girl in, instead of simply showing racism for the ugly and stupid thing it is , xxmaj spike xxmaj lee chooses to wave it around like a flag in a most xxunk and irritating manner . i made it through most of the film but i could n't quite finish it , and that , for me , rarely happens . xxbos xxmaj plot = xxmaj melissa is a new girl in town
6. xxmaj mistaken identities abound here - gags are set up and but for the main fail to pay off . \\n\\n xxmaj this xxmaj xxunk short does have at least two real laughs - xxmaj buster 's cleverly turning around his lack of dinner by using the calendar on the wall and the basic ignorance of his adopted family to literally bring the meat to his xxunk . xxmaj the otherxxmaj mistaken identities abound here - gags are set up and but for the main fail to pay off . \\n\\n xxmaj this xxmaj xxunk short does have at least two real laughs - xxmaj buster 's cleverly turning around his lack of dinner by using the calendar on the wall and the basic ignorance of his adopted family to literally bring the meat to his xxunk . xxmaj the other is
7f ! xxbos i am terribly sorry , i know that xxmaj xxunk still is called one of the greatest directors in post - war xxmaj germany and that most of his films are considered \" master - pieces \" , but when i see \" lili xxmaj xxunk \" today , in 2004 , i wonder what everyone is up and away about this movie ! xxmaj the acting is simply! xxbos i am terribly sorry , i know that xxmaj xxunk still is called one of the greatest directors in post - war xxmaj germany and that most of his films are considered \" master - pieces \" , but when i see \" lili xxmaj xxunk \" today , in 2004 , i wonder what everyone is up and away about this movie ! xxmaj the acting is simply terrible
8. xxmaj in addition to the writing that i mentioned above , the episode also features some fantastic photography ( it still xxunk me that the show looks this good nearly fifty years later ! ) and decent enough set - design . xxmaj overall ' the sixteen - xxunk shrine \" is a great episode and above all is certainly one to make you think . xxbos \" atlantis : xxmajxxmaj in addition to the writing that i mentioned above , the episode also features some fantastic photography ( it still xxunk me that the show looks this good nearly fifty years later ! ) and decent enough set - design . xxmaj overall ' the sixteen - xxunk shrine \" is a great episode and above all is certainly one to make you think . xxbos \" atlantis : xxmaj the
" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "JEjsEwvuJrgr", + "colab_type": "text" + }, + "source": [ + "# Tokenizing\n", + "\n", + "First step is to take our texts, and split the raw sentences into tokens to take care of either special phrases or characters. \n", + "\n", + "Here are some processes we need to take care of:\n", + "* Punctuation\n", + "* Contractions (isn't, don't)\n", + "* HTML code, etc" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "F9SHsfj6JZno", + "colab_type": "code", + "outputId": "8835ca93-d25c-4ece-f11d-3f5b4d5e95af", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 414 + } + }, + "source": [ + "data_lm.show_batch(max_n=3)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
texttext_
0xxbos xxmaj this has got to be one of my very favorite xxmaj twilight xxmaj zone episodes , primarily for the portrayal of two lonely souls in a post - xxunk environment . \\n\\n xxmaj the xxunk - xxunk shops and xxunk - xxunk streets are eerie in that particular way the xxmaj twilight xxmaj zone does best . \\n\\n xxmaj while the parable can be a bit heavy - handed byxxmaj this has got to be one of my very favorite xxmaj twilight xxmaj zone episodes , primarily for the portrayal of two lonely souls in a post - xxunk environment . \\n\\n xxmaj the xxunk - xxunk shops and xxunk - xxunk streets are eerie in that particular way the xxmaj twilight xxmaj zone does best . \\n\\n xxmaj while the parable can be a bit heavy - handed by today
1, this touching moment is played out in a very sad way in the finale of the movie . \\n\\n xxmaj xxunk xxmaj xxunk and xxmaj xxunk ' joe ' xxmaj xxunk are outstanding as xxmaj noam and xxmaj ashwar . xxmaj director xxmaj xxunk xxmaj fox is brilliant in creating a xxunk and interesting xxunk of the xxmaj shakespeare classic xxmaj xxunk and xxmaj xxunk . xxmaj and while most moviesthis touching moment is played out in a very sad way in the finale of the movie . \\n\\n xxmaj xxunk xxmaj xxunk and xxmaj xxunk ' joe ' xxmaj xxunk are outstanding as xxmaj noam and xxmaj ashwar . xxmaj director xxmaj xxunk xxmaj fox is brilliant in creating a xxunk and interesting xxunk of the xxmaj shakespeare classic xxmaj xxunk and xxmaj xxunk . xxmaj and while most movies today
2each other xxunk far beyond the xxunk of mere xxunk . xxmaj their 's is a true and abiding friendship for one another and each would be willing to sacrifice his own life for the good of the other . xxmaj gunga xxmaj din xxunk to be a soldier too , a xxmaj xxunk in particular , but can never xxunk that rank due to his xxunk social standing . xxmaj howeverother xxunk far beyond the xxunk of mere xxunk . xxmaj their 's is a true and abiding friendship for one another and each would be willing to sacrifice his own life for the good of the other . xxmaj gunga xxmaj din xxunk to be a soldier too , a xxmaj xxunk in particular , but can never xxunk that rank due to his xxunk social standing . xxmaj however ,
" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "uD4I3KdbKHeQ", + "colab_type": "text" + }, + "source": [ + "The texts are truncated at 100 tokens for readability. Here are some other things we did using Spacy\n", + "\n", + "* 's' are grouped together\n", + "* contractions are seperated like so \"did\", \"n't\"\n", + "* Any HTML symbol has been cleaned\n", + "* Everything is lower-cased\n", + "* there are several special tokens (all those that begin by xx), to replace unknown tokens (see below) or to introduce different text fields" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "QTHwFJgkKg_Y", + "colab_type": "text" + }, + "source": [ + "# Numericalization\n", + "\n", + "Once we have our tokens, we can convert them to integers. These are then saved in a `vocab`, in a dictionary called `itos` (int to string)" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "a7hDa4jSD0Cg", + "colab_type": "code", + "outputId": "92da9c25-1490-4cd0-baea-6665cc7abec1", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 187 + } + }, + "source": [ + "data_lm.vocab[:10]" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "['xxunk',\n", + " 'xxpad',\n", + " 'xxbos',\n", + " 'xxeos',\n", + " 'xxfld',\n", + " 'xxrep',\n", + " 'xxwrep',\n", + " 'xxup',\n", + " 'xxmaj',\n", + " 'the']" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 9 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "-P8VPjsmEGeC", + "colab_type": "code", + "outputId": "28400bb3-7c42-4691-9397-dc7ff75229b6", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + } + }, + "source": [ + "data_lm.numericalize" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Numericalize: (object,object) -> encodes (object,object) -> decodes" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 10 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "RalmqQMSKvjh", + "colab_type": "text" + }, + "source": [ + "# Spacy\n", + "\n", + "We use spacy as the main way to actually tokenize. [See here](https://spacy.io/)" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "33J9gXA2D_1p", + "colab_type": "code", + "outputId": "9b51caea-df07-437e-eb46-a56915386b5a", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 51 + } + }, + "source": [ + "data_lm.tokenizer" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(#2) [,Tokenizer: (str,object) -> encodes\n", + "(Path,object) -> encodes (object,object) -> decodes]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 11 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "MEiLJYApLbXH", + "colab_type": "code", + "outputId": "5ded9b97-6187-45f4-f1a9-84feb18ed24c", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 153 + } + }, + "source": [ + "data_lm.rules" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "[,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ,\n", + " ]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 12 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "-dR2n4J2fdZ8", + "colab_type": "text" + }, + "source": [ + "Well that's quite unreadable. Let's write a quick function to make that a bit better:\n" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "6kSHBTkdfnhu", + "colab_type": "code", + "colab": {} + }, + "source": [ + "def print_rules(dls):\n", + " \"Prints out current rules of `Tokenizer`\"\n", + " print(f\"{dls.tokenizer[0].__doc__} with the following rules\\n\")\n", + " [print(f\"{r.__name__, r.__doc__}\") for r in dls.rules]" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "GDi7AwFefts6", + "colab_type": "code", + "outputId": "b6b96bd4-0c96-45d1-d580-1497a1878493", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 187 + } + }, + "source": [ + "print_rules(data_lm)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "stream", + "text": [ + "Spacy tokenizer for `lang` with the following rules\n", + "\n", + "('fix_html', \"Various messy things we've seen in documents\")\n", + "('replace_rep', 'Replace repetitions at the character level: cccc -- TK_REP 4 c')\n", + "('replace_wrep', 'Replace word repetitions: word word word word -- TK_WREP 4 word')\n", + "('spec_add_spaces', 'Add spaces around / and #')\n", + "('rm_useless_spaces', 'Remove multiple spaces')\n", + "('replace_all_caps', 'Replace tokens in ALL CAPS by their lower version and add `TK_UP` before.')\n", + "('replace_maj', 'Replace tokens in ALL CAPS by their lower version and add `TK_UP` before.')\n", + "('lowercase', 'Converts `t` to lowercase')\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "N3JT3AiYLk2y", + "colab_type": "code", + "outputId": "c5738881-d461-443d-9032-ec01dd013703", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 187 + } + }, + "source": [ + "data_lm.vocab[:10]" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "['xxunk',\n", + " 'xxpad',\n", + " 'xxbos',\n", + " 'xxeos',\n", + " 'xxfld',\n", + " 'xxrep',\n", + " 'xxwrep',\n", + " 'xxup',\n", + " 'xxmaj',\n", + " 'the']" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 50 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "lv4PU9LYFl3K", + "colab_type": "code", + "outputId": "c5529688-e765-43cf-eb5e-c682ffced7e2", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 54 + } + }, + "source": [ + "data_lm.o2i.items()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "dict_items([('xxunk', 0), ('xxpad', 1), ('xxbos', 2), ('xxeos', 3), ('xxfld', 4), ('xxrep', 5), ('xxwrep', 6), ('xxup', 7), ('xxmaj', 8), ('the', 9), (',', 10), ('.', 11), ('and', 12), ('a', 13), ('of', 14), ('to', 15), ('is', 16), ('it', 17), ('in', 18), ('i', 19), ('that', 20), ('this', 21), ('\"', 22), (\"'s\", 23), ('-', 24), ('was', 25), ('\\n\\n', 26), ('as', 27), ('for', 28), ('movie', 29), ('with', 30), ('but', 31), ('film', 32), ('you', 33), (')', 34), ('on', 35), ('(', 36), (\"n't\", 37), ('are', 38), ('not', 39), ('he', 40), ('his', 41), ('have', 42), ('be', 43), ('one', 44), ('they', 45), ('all', 46), ('at', 47), ('by', 48), ('an', 49), ('like', 50), ('from', 51), ('so', 52), ('who', 53), ('!', 54), ('there', 55), ('about', 56), ('or', 57), ('just', 58), ('if', 59), ('out', 60), ('do', 61), ('her', 62), ('some', 63), ('what', 64), (\"'\", 65), ('has', 66), ('more', 67), ('good', 68), ('?', 69), ('very', 70), ('up', 71), ('when', 72), ('she', 73), ('would', 74), ('no', 75), ('were', 76), ('their', 77), ('even', 78), ('time', 79), ('really', 80), ('only', 81), ('my', 82), ('can', 83), ('story', 84), ('had', 85), ('which', 86), ('…', 87), ('see', 88), ('did', 89), ('me', 90), ('we', 91), (':', 92), ('well', 93), ('into', 94), ('does', 95), ('will', 96), ('bad', 97), ('than', 98), ('also', 99), ('get', 100), ('much', 101), ('people', 102), ('because', 103), ('could', 104), ('other', 105), ('first', 106), ('been', 107), ('how', 108), ('any', 109), ('its', 110), ('most', 111), ('then', 112), ('great', 113), ('make', 114), ('two', 115), ('made', 116), ('him', 117), ('them', 118), ('way', 119), ('/', 120), ('too', 121), ('after', 122), ('never', 123), ('acting', 124), ('think', 125), ('movies', 126), ('watch', 127), (';', 128), ('films', 129), ('many', 130), ('where', 131), ('little', 132), ('life', 133), ('plot', 134), ('character', 135), ('seen', 136), ('man', 137), ('being', 138), ('better', 139), ('over', 140), ('characters', 141), ('here', 142), ('your', 143), ('know', 144), ('love', 145), ('end', 146), ('best', 147), ('show', 148), ('should', 149), ('off', 150), ('say', 151), ('scenes', 152), ('ever', 153), ('while', 154), ('through', 155), ('something', 156), ('still', 157), ('go', 158), ('these', 159), ('scene', 160), ('3', 161), ('such', 162), ('why', 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('katharine', 0), ('hepburn', 0), ('amelia', 0), ('earhart', 0), ('aviatrix', 0), ('arzner', 0), ('akins', 0), ('frankau', 0), ('billie', 0), ('simpering', 0), ('weepy', 0), ('bummer', 0), ('artifact', 0), ('-flicks', 0), ('throwbacks', 0), ('ol', 0), ('trashing', 0), ('-good', 0), (\"scarecrows'('88\", 0), ('nunez', 0), ('judds', 0), (\"nunez'writing\", 0), ('nadir', 0), ('auspiciously', 0), ('comparatively', 0), ('grossness', 0), ('aptitude', 0), ('onslaught', 0), ('rumor', 0), ('pickman', 0), ('undergraduate', 0), ('dolt', 0), ('desk', 0), ('accurately', 0), ('integral', 0), ('paralyzed', 0), ('agatha', 0), ('peruvian', 0), ('afrikaans', 0), ('glimpsed', 0), ('lewton', 0), ('sm', 0), ('credo', 0), ('intrinsically', 0), ('discrepancy', 0), ('wray', 0), ('puritan', 0), ('romanticism', 0), ('unpleasantness', 0), ('grooming', 0), ('fetishist', 0), ('gloves', 0), ('giggle', 0), ('p.m.', 0), ('3:00', 0), ('a.m.', 0), ('sopranos', 0), ('icu', 0), ('finnerty', 0), ('dreaming', 0), ('prodding', 0), ('flashlight', 0), ('a.j', 0), ('carmella', 0), ('remainder', 0), ('finishes', 0), ('flunked', 0), ('meadow', 0), ('utters', 0), ('dial', 0), ('cannot', 0), ('reoccurred', 0), ('moby', 0), ('prosciutto', 0), ('dunaway', 0), ('scratching', 0), ('mystified', 0), ('macbeth', 0), ('soup', 0), ('ghostly', 0), ('dread', 0), ('remedies', 0), ('suckers', 0), ('quoth', 0), ('nevermore', 0), ('tovarish', 0), ('tito', 0), ('instrumented', 0), ('origonal', 0), ('sampled', 0), ('alot', 0), ('remmi', 0), ('taker', 0), ('riped', 0), ('choked', 0), ('monologue', 0), ('tediously', 0), ('droning', 0), ('breakup', 0), ('rant', 0), ('scant', 0), ('therapy', 0), ('whiner', 0), ('herschell', 0), ('accustomed', 0), ('humanly', 0), ('suceeded', 0), ('reported', 0), ('hartman', 0), ('recurring', 0), ('unfrozen', 0), ('fuhgeddaboudit', 0), ('quoted', 0), ('annals', 0), ('lorne', 0), ('greene', 0), ('gunfighting', 0), ('rifleman', 0), ('resolutions', 0), ('1965', 0), ('canary', 0), ('vogel', 0), ('delinquency', 0), ('establishment', 0), ('f.b.i', 0), ('cartwrights', 0), ('limped', 0), ('ponderosa', 0), ('drifters', 0), ('declined', 0), ('topical', 0), ('465', 0), ('amati', 0), ('highlander', 0), ('hehe', 0), ('mumbles', 0), ('tieing', 0), ('spawn', 0), ('selecting', 0), ('uninvolving', 0), ('unappealing', 0), ('un-\"s', 0)])" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 51 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "DwaIlQ78K6Gb", + "colab_type": "text" + }, + "source": [ + "# Full Datablock API\n", + "\n", + "Now let's use the `DataBlock` API to build it again:" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "YrQTJAyqF5xO", + "colab_type": "code", + "colab": {} + }, + "source": [ + "imdb_lm = DataBlock(blocks=TextBlock.from_df('text', is_lm=True),\n", + " get_x=ColReader('text'),\n", + " splitter=RandomSplitter(0.1))" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2EgG3v6EtTw_", + "colab_type": "text" + }, + "source": [ + "Since we have no targets, we just need one block. Each `TextBlock` has a specific class method (either `from_folder` or `from_df`). This is so we can tokenize efficiently. We can then make our `DataLoaders`:" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "ITTqJYLOKtTy", + "colab_type": "code", + "outputId": "3db34d4e-9b59-4d55-cfc5-598cea3c07c2", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 17 + } + }, + "source": [ + "dls = imdb_lm.dataloaders(df, bs=64, seq_len=72)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "7_P6DgVVsFDg", + "colab_type": "code", + "outputId": "24992a55-6543-4b6f-d3ab-df1c4046784e", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 380 + } + }, + "source": [ + "dls.show_batch(max_n=3)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
texttext_
0xxbos i watched this movie with some friends a couple months ago , i still laugh today thinking about some of the utter stupidity . xxmaj the first few scenes alone were hilarious . i wo n't spoil anything for those who wish to see it , i would n't want to ruin the laughs . xxmaj needless to say the entire time i watched this movie i was trying to figurei watched this movie with some friends a couple months ago , i still laugh today thinking about some of the utter stupidity . xxmaj the first few scenes alone were hilarious . i wo n't spoil anything for those who wish to see it , i would n't want to ruin the laughs . xxmaj needless to say the entire time i watched this movie i was trying to figure out
1soul xxunk , it is , instead , xxunk xxunk . \\n\\n xxmaj half - naked , father and son xxunk and xxunk to each other like lovers . \" homo - erotic \" is the point , loud and clear . xxup ok , so what ? \\n\\n xxmaj repeated more than once by the son is the line , supposedly lifted from \" lives of the xxmaj xxunk , \"xxunk , it is , instead , xxunk xxunk . \\n\\n xxmaj half - naked , father and son xxunk and xxunk to each other like lovers . \" homo - erotic \" is the point , loud and clear . xxup ok , so what ? \\n\\n xxmaj repeated more than once by the son is the line , supposedly lifted from \" lives of the xxmaj xxunk , \" \"
2rest of his life , the only problem being that the letter is n't signed . xxmaj so xxmaj leon needs to track down all the women he 's been with to find the woman of his dreams . xxmaj but sometimes , as xxmaj billy xxmaj dee xxmaj williams says in the film , the woman of your dreams is standing right in front of you . xxmaj there is alsoof his life , the only problem being that the letter is n't signed . xxmaj so xxmaj leon needs to track down all the women he 's been with to find the woman of his dreams . xxmaj but sometimes , as xxmaj billy xxmaj dee xxmaj williams says in the film , the woman of your dreams is standing right in front of you . xxmaj there is also a
" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "S85RxAWhPJNC", + "colab_type": "text" + }, + "source": [ + "But can we use another tokenizer? Sure! First let's install `SentencePiece`:" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "ssuPEWLXPYXg", + "colab_type": "code", + "colab": {} + }, + "source": [ + "!pip install sentencepiece -q" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "u0l-PWwit9bh", + "colab_type": "text" + }, + "source": [ + "Now we'll define a tokenizer function that wraps around `SentencePiece`" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "oayOmiAQuAw6", + "colab_type": "code", + "colab": {} + }, + "source": [ + "tok = SentencePieceTokenizer" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lydg_FrVuDe7", + "colab_type": "text" + }, + "source": [ + "And finally pass this into the `DataBlock`:" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "6wOHrbM3NhuD", + "colab_type": "code", + "colab": {} + }, + "source": [ + "sp_lm = DataBlock(blocks=TextBlock.from_df('text', is_lm=True, tok_func=tok),\n", + " get_x=ColReader('text'),\n", + " splitter=RandomSplitter(0.1))" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "a6uE5mVeOalA", + "colab_type": "code", + "outputId": "06015a0a-80ab-43b3-d871-fb00e6303cbc", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 17 + } + }, + "source": [ + "dls = sp_lm.dataloaders(df, bs=64, seq_len=72)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "coLmHGfXPWFP", + "colab_type": "code", + "outputId": "cc29014a-ea8b-4d8d-ac0a-74a7d7f13cb5", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 465 + } + }, + "source": [ + "dls.show_batch(max_n=3)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
texttext_
0▁xxbos ▁xxmaj ▁we ' ve ▁all ▁been ▁there , ▁sitting ▁with ▁some ▁friends ▁watching ▁a ▁bad ▁movie , ▁laughing ▁at ▁how ▁terribl y ▁it ▁was ▁made ▁and ▁how ▁poor ▁the ▁acting ▁was ; ▁eventually ▁the ▁credits ▁roll ▁and ▁everyone ▁looks ▁around ▁and ▁says ▁\" how ▁is ▁it ▁possible ▁such ▁a ▁movie ▁was ▁made ? ▁who ▁paid ▁money ▁to ▁have ▁this ▁script ▁made ▁into ▁a ▁feature ▁film ?\" ▁xxmaj ▁well ▁xxmaj ▁jig s▁xxmaj ▁we ' ve ▁all ▁been ▁there , ▁sitting ▁with ▁some ▁friends ▁watching ▁a ▁bad ▁movie , ▁laughing ▁at ▁how ▁terribl y ▁it ▁was ▁made ▁and ▁how ▁poor ▁the ▁acting ▁was ; ▁eventually ▁the ▁credits ▁roll ▁and ▁everyone ▁looks ▁around ▁and ▁says ▁\" how ▁is ▁it ▁possible ▁such ▁a ▁movie ▁was ▁made ? ▁who ▁paid ▁money ▁to ▁have ▁this ▁script ▁made ▁into ▁a ▁feature ▁film ?\" ▁xxmaj ▁well ▁xxmaj ▁jig s aw
1ic es \" ▁( which ▁is ▁ quite ▁possibly ▁the ▁fun n est ▁bad ▁movie ▁ever ▁made ) ▁xxmaj ▁eye ▁xxmaj ▁candy : ▁xxmaj ▁ ka ri ▁xxmaj ▁rose ▁shows ▁xxup ▁ t & a ▁xxmaj ▁my ▁xxmaj ▁grade : ▁xxup ▁ d + ▁xxup ▁dvd ▁xxmaj ▁extras : ▁xxmaj ▁mere ly ▁a ▁theatrical ▁trailer ▁for ▁this ▁movie ▁xxbos ▁xxmaj ▁an ▁excellent ▁performance ▁by ▁xxmaj ▁a lix ▁xxmaj ▁ el ia ses \" ▁( which ▁is ▁ quite ▁possibly ▁the ▁fun n est ▁bad ▁movie ▁ever ▁made ) ▁xxmaj ▁eye ▁xxmaj ▁candy : ▁xxmaj ▁ ka ri ▁xxmaj ▁rose ▁shows ▁xxup ▁ t & a ▁xxmaj ▁my ▁xxmaj ▁grade : ▁xxup ▁ d + ▁xxup ▁dvd ▁xxmaj ▁extras : ▁xxmaj ▁mere ly ▁a ▁theatrical ▁trailer ▁for ▁this ▁movie ▁xxbos ▁xxmaj ▁an ▁excellent ▁performance ▁by ▁xxmaj ▁a lix ▁xxmaj ▁ el ia s ▁highlights
2▁away ▁more ▁about ▁the ▁plot ▁in ▁\" who ' s ▁xxmaj ▁got ▁xxmaj ▁the ▁xxmaj ▁gold \", ▁but ▁i ▁can ▁assure ▁that ▁it ▁is ▁as ▁cool ▁as ▁it ▁sounds . ▁xxmaj ▁the ▁supporting ▁performances ▁are ▁also ▁very ▁good , ▁and , ▁as ▁in ▁the ▁predecessors , ▁there ▁are ▁plenty ▁of ▁hilarious ly ▁ec centric ▁characters . ▁xxmaj ▁this ▁is ▁sadly ▁the ▁last ▁film ▁in ▁the ▁awesome ly ▁sleaz y ▁ ' hanzo▁more ▁about ▁the ▁plot ▁in ▁\" who ' s ▁xxmaj ▁got ▁xxmaj ▁the ▁xxmaj ▁gold \", ▁but ▁i ▁can ▁assure ▁that ▁it ▁is ▁as ▁cool ▁as ▁it ▁sounds . ▁xxmaj ▁the ▁supporting ▁performances ▁are ▁also ▁very ▁good , ▁and , ▁as ▁in ▁the ▁predecessors , ▁there ▁are ▁plenty ▁of ▁hilarious ly ▁ec centric ▁characters . ▁xxmaj ▁this ▁is ▁sadly ▁the ▁last ▁film ▁in ▁the ▁awesome ly ▁sleaz y ▁ ' hanzo '
" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "wk5vtHfVP9YZ", + "colab_type": "text" + }, + "source": [ + "# Training our Langage Model\n", + "\n", + "Let's go back and use our Spacy tokenized databunch for this. I'm going to keep our dataset small, but idealy you should run this instead with the full IMDB dataset. I've included a method to run it at the bottom of this notebook. Our pretrained model for today will be wikitext-103, a model trained on English wikipedia articles. " + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "tEz5PDPCPs6c", + "colab_type": "code", + "outputId": "416bc5a7-05d4-4b82-a095-aef37434ba6e", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 17 + } + }, + "source": [ + "dls = imdb_lm.dataloaders(df, bs=64, seq_len=72)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "jR2vUyrwus9u", + "colab_type": "code", + "outputId": "1393f3d5-fbc2-4507-f295-c68514c69ab4", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 17 + } + }, + "source": [ + "learn = language_model_learner(dls, AWD_LSTM, drop_mult=0.3)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "4cxROi4Ju1o_", + "colab_type": "text" + }, + "source": [ + "Now let's use our good old friend `fastdot` and visualize this architecture:" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "QmT4ncEMu4tr", + "colab_type": "code", + "colab": {} + }, + "source": [ + "pip install fastdot" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "oIJTbeH1vGqE", + "colab_type": "code", + "colab": {} + }, + "source": [ + "from fastdot import *" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "iUuTz5lhvE7-", + "colab_type": "text" + }, + "source": [ + "### Hidden" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "t8I2x4yxvICN", + "colab_type": "code", + "colab": {} + }, + "source": [ + "inp = ['Input']\n", + "encoder = ['Embedding (7080,400)', 'Embedding Dropout']\n", + "rnn1 = ['LSTM (400, 1152)', 'RNN Dropout']\n", + "rnn2 = ['LSTM (1152, 1152)', 'RNN Dropout']\n", + "rnn3 = ['LSTM (1152, 400)', 'RNN Dropout']\n", + "dp = ['RNN Dropout']\n", + "dec = ['Linear (400, 7080)', 'RNN Dropout']" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "3AzklxPgv9Dc", + "colab_type": "code", + "colab": {} + }, + "source": [ + "block1, block2, block3, block4, block5, block6 = ['Tokenized Input', 'Embeddings', 'RNN 1', 'RNN 2', 'RNN3',\n", + " 'Linear Decoder']" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "LM4npitUwJuR", + "colab_type": "code", + "colab": {} + }, + "source": [ + "conns = ((block1, block2),\n", + " (block2, block3),\n", + " (block3, block4),\n", + " (block4, block5),\n", + " (block5, block6))" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "aoqeOBbjyBNu", + "colab_type": "code", + "colab": {} + }, + "source": [ + "def color(o):\n", + " if 'Embedding' in o : return 'white'\n", + " if o == 'Input': return 'gray'\n", + " if 'LSTM' in o: return 'coral'\n", + " if 'RNN' in o: return 'lightblue'" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "X8JhSxIzyO5g", + "colab_type": "code", + "colab": {} + }, + "source": [ + "node_defaults['fillcolor'] = color" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "qwRH_W8_wY5D", + "colab_type": "code", + "colab": {} + }, + "source": [ + "model = [\n", + " seq_cluster(inp, block1),\n", + " seq_cluster(encoder, block2),\n", + " seq_cluster(rnn1, block3),\n", + " seq_cluster(rnn2, block4),\n", + " seq_cluster(rnn3, block5),\n", + " seq_cluster(dec, block6)\n", + "\n", + "]" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "QNW8QjvfxFYN", + "colab_type": "code", + "outputId": "4f1efa56-6389-401a-9f7d-4f12ad32705c", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 54 + } + }, + "source": [ + "g = graph_items(*model)\n", + "g.add_items(*object_connections(conns))" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(#5) [,,,,]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 201 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "9TU8VVnvxJA8", + "colab_type": "code", + "outputId": "9c8f8233-0026-4a5d-ff17-854d833673b9", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 173 + } + }, + "source": [ + "g" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "image/svg+xml": "\n\n\n\n\n\nG\n\n\ncluster_n76997c9aad144e1d91cb9f7e81d50471\n\n\nTokenized Input\n\n\n\n\ncluster_n02f2d4e3a11d427883bd132ac3e71dc2\n\n\nEmbeddings\n\n\n\n\ncluster_n122e90ba19884c409648dc79f7681f87\n\n\nRNN 1\n\n\n\n\ncluster_n94101b28f7514b9aaa656b1c1fecaf82\n\n\nRNN 2\n\n\n\n\ncluster_n5ef1c81112f145779ff58e2497c31d75\n\n\nRNN3\n\n\n\n\ncluster_ne8a5b9e3e02d4ba790079ff075eebed8\n\n\nLinear Decoder\n\n\n\n\n\nn92ae3874ec5f43698f55e2260101f55e\n\n\nInput\n\n\n\n\n\nn3f3cc14a1cd642fdad860eaf725b3f6d\n\n\nEmbedding (7080,400)\n\n\n\n\n\nn92ae3874ec5f43698f55e2260101f55e->n3f3cc14a1cd642fdad860eaf725b3f6d\n\n\n\n\n\nn51e64e229d274c50885177c7c75d3716\n\n\nEmbedding Dropout\n\n\n\n\n\nn3f3cc14a1cd642fdad860eaf725b3f6d->n51e64e229d274c50885177c7c75d3716\n\n\n\n\n\nnc00de2fdd1d84427893e721dfc0410ed\n\n\nLSTM (400, 1152)\n\n\n\n\n\nn51e64e229d274c50885177c7c75d3716->nc00de2fdd1d84427893e721dfc0410ed\n\n\n\n\n\nn155cbe2a9de443478c43e9d37fdc3a09\n\n\nRNN Dropout\n\n\n\n\n\nnc00de2fdd1d84427893e721dfc0410ed->n155cbe2a9de443478c43e9d37fdc3a09\n\n\n\n\n\nn75d1c73d4a16446ea1865721c670da98\n\n\nLSTM (1152, 1152)\n\n\n\n\n\nn155cbe2a9de443478c43e9d37fdc3a09->n75d1c73d4a16446ea1865721c670da98\n\n\n\n\n\nn6c0126659bcc4905ac77b30a166309bd\n\n\nRNN Dropout\n\n\n\n\n\nn75d1c73d4a16446ea1865721c670da98->n6c0126659bcc4905ac77b30a166309bd\n\n\n\n\n\nn26209d03458d426e91fe99ecd6316335\n\n\nLSTM (1152, 400)\n\n\n\n\n\nn6c0126659bcc4905ac77b30a166309bd->n26209d03458d426e91fe99ecd6316335\n\n\n\n\n\nn8f25714c0fb94df98a94ba48895a4f6e\n\n\nRNN Dropout\n\n\n\n\n\nn26209d03458d426e91fe99ecd6316335->n8f25714c0fb94df98a94ba48895a4f6e\n\n\n\n\n\nn3579ce371e6e490abcb01feb7f80cf59\n\n\nLinear (400, 7080)\n\n\n\n\n\nn8f25714c0fb94df98a94ba48895a4f6e->n3579ce371e6e490abcb01feb7f80cf59\n\n\n\n\n\nn59630fca1ed44ccb96c73b0bf6828908\n\n\nRNN Dropout\n\n\n\n\n\nn3579ce371e6e490abcb01feb7f80cf59->n59630fca1ed44ccb96c73b0bf6828908\n\n\n\n\n\n" + }, + "metadata": { + "tags": [] + }, + "execution_count": 202 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "vdJJu_chy1Y7", + "colab_type": "code", + "colab": {} + }, + "source": [ + "g.write_png('AWD_LSTM.png')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "eAiAQ0eiz--W", + "colab_type": "code", + "colab": {} + }, + "source": [ + "inp = ['Input']\n", + "encoder = ['Embedding (7080,400)', 'Embedding Dropout']\n", + "rnn1 = ['QRNN (400, 1152)', 'RNN Dropout']\n", + "rnn2 = ['QRNN (1152, 1152)', 'RNN Dropout']\n", + "rnn3 = ['QRNN (1152, 400)', 'RNN Dropout']\n", + "dp = ['RNN Dropout']\n", + "dec = ['Linear (400, 7080)', 'RNN Dropout']" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "IVSYD7kI0K6D", + "colab_type": "code", + "colab": {} + }, + "source": [ + "def color(o):\n", + " if 'Embedding' in o : return 'white'\n", + " if o == 'Input': return 'gray'\n", + " if 'QRNN ' in o: return 'coral'\n", + " if 'RNN' in o: return 'lightblue'\n", + " " + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "XHG2ACYS0WIS", + "colab_type": "code", + "colab": {} + }, + "source": [ + "node_defaults['fillcolor'] = color" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "4BqXzhQi0ADf", + "colab_type": "code", + "colab": {} + }, + "source": [ + "model = [\n", + " seq_cluster(inp, block1),\n", + " seq_cluster(encoder, block2),\n", + " seq_cluster(rnn1, block3),\n", + " seq_cluster(rnn2, block4),\n", + " seq_cluster(rnn3, block5),\n", + " seq_cluster(dec, block6)\n", + "\n", + "]" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "EdAgPlla0A2K", + "colab_type": "code", + "outputId": "2b213eeb-c5d1-4720-f39d-1103a18848d9", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 54 + } + }, + "source": [ + "g = graph_items(*model)\n", + "g.add_items(*object_connections(conns))" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(#5) [,,,,]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 239 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "7yy6y0Eq0Oja", + "colab_type": "code", + "outputId": "0439e5f5-0d57-47b4-a28d-4bc69d74b207", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 173 + } + }, + "source": [ + "g" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "image/svg+xml": "\n\n\n\n\n\nG\n\n\ncluster_n94af4a7accac4a6ebb627dc91980add7\n\n\nTokenized Input\n\n\n\n\ncluster_na710c343e3e245cc894eb11411d7e3ca\n\n\nEmbeddings\n\n\n\n\ncluster_n15ec24ec64be463db313ca71310dd3f3\n\n\nRNN 1\n\n\n\n\ncluster_n6805ea4b00e94db9923ca7cf7d219186\n\n\nRNN 2\n\n\n\n\ncluster_ne8799396158c45fb9a6f13e11ab48407\n\n\nRNN3\n\n\n\n\ncluster_n8ef852c8cc07442ba464aae880fb5c37\n\n\nLinear Decoder\n\n\n\n\n\nn0f89b6ff059848dd9e80fd4f252f34f4\n\n\nInput\n\n\n\n\n\nnea26366d8f224b25ba178e9b8915eda1\n\n\nEmbedding (7080,400)\n\n\n\n\n\nn0f89b6ff059848dd9e80fd4f252f34f4->nea26366d8f224b25ba178e9b8915eda1\n\n\n\n\n\nn778782ca43fc42dba334d010e1e646c7\n\n\nEmbedding Dropout\n\n\n\n\n\nnea26366d8f224b25ba178e9b8915eda1->n778782ca43fc42dba334d010e1e646c7\n\n\n\n\n\nn7953e47b50a947b0b92ddea23ceba73b\n\n\nQRNN (400, 1152)\n\n\n\n\n\nn778782ca43fc42dba334d010e1e646c7->n7953e47b50a947b0b92ddea23ceba73b\n\n\n\n\n\nnb7d2bc5c0a674a13ae56fab18025858e\n\n\nRNN Dropout\n\n\n\n\n\nn7953e47b50a947b0b92ddea23ceba73b->nb7d2bc5c0a674a13ae56fab18025858e\n\n\n\n\n\nn6ea8a002260a4eff86fb4f674b9fe7fa\n\n\nQRNN (1152, 1152)\n\n\n\n\n\nnb7d2bc5c0a674a13ae56fab18025858e->n6ea8a002260a4eff86fb4f674b9fe7fa\n\n\n\n\n\nn401676ef24eb4285a05c808d5a9d6efe\n\n\nRNN Dropout\n\n\n\n\n\nn6ea8a002260a4eff86fb4f674b9fe7fa->n401676ef24eb4285a05c808d5a9d6efe\n\n\n\n\n\nnd7fd6550dc6c491c8c7124aff02e96fd\n\n\nQRNN (1152, 400)\n\n\n\n\n\nn401676ef24eb4285a05c808d5a9d6efe->nd7fd6550dc6c491c8c7124aff02e96fd\n\n\n\n\n\nnb853440def2b4fe4bff666076a74ee6c\n\n\nRNN Dropout\n\n\n\n\n\nnd7fd6550dc6c491c8c7124aff02e96fd->nb853440def2b4fe4bff666076a74ee6c\n\n\n\n\n\nn6b4a2b05644d492bb6ad43c53622abc6\n\n\nLinear (400, 7080)\n\n\n\n\n\nnb853440def2b4fe4bff666076a74ee6c->n6b4a2b05644d492bb6ad43c53622abc6\n\n\n\n\n\nncba5017f6b8b4b558cad0a0385492d91\n\n\nRNN Dropout\n\n\n\n\n\nn6b4a2b05644d492bb6ad43c53622abc6->ncba5017f6b8b4b558cad0a0385492d91\n\n\n\n\n\n" + }, + "metadata": { + "tags": [] + }, + "execution_count": 240 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "nm8H4mSi0Cbd", + "colab_type": "code", + "colab": {} + }, + "source": [ + "g.write_png('QRNN.png')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "aGoIA_nNzSgQ", + "colab_type": "text" + }, + "source": [ + "### Non-Hidden" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "17fe6_srzzKr", + "colab_type": "code", + "colab": {} + }, + "source": [ + "from IPython.display import Image, display" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "lGtCyXnBzwcU", + "colab_type": "code", + "outputId": "e2eb0500-4e45-4af5-ee0a-c49978c804c0", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 66 + } + }, + "source": [ + "display(Image('AWD_LSTM.png'))" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "image/png": 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Ro5UDCAoKMjQ0lJGRad26tZ6eXlBQkIuLS42vfdu2bRwO\nx8nJqbZ/nJCQEO7dwcnJyQUFBdra2ty1+vr6hJDnz59Tf7Zv377yyDh1WUH79u152bdGPj4+7u7u\nbdq0qbyQvileDqSsrNyvX7/Q0FCRuqW3oKDg+PHjo0aNMjEx8ff3p/+XaaRfuc/TmDp1KiHkjz/+\nIIRs2LBBVlZWQUEhIyNjyZIlmpqaiYmJHA5ny5YtxsbG0tLSysrKzs7O3KuWtm3bxmQyVVVV58yZ\no66uzmQy+/Tpw73Jj3q9te27YMECKSkp7pPP3N3d5eTkGAwG9d1o4cKFS5Ysef/+PYPBMDCo42c5\nfxUUFBw5csTBwUFVVXX+/Pnx8fHCPWUsNJUKS8sHHLxz53Njv68M0Gtj3Frh+oesypOf3Pn8vai0\n3E5flWZHQsi2++85HOJkqF5luc+1V+4W7dvI/ueXRvKPwoKfZdqsf6e11FeWJYQ8T8+tc62I+JrH\nlpEQ11P6N0hlpmQ/3dah95JEKIESUlRUFBsb6+bmZmxs7O3tfe/ePb5319SPKYQQXaNO1Ve5eXpr\n6LaPO3Gk+mVuDd6yTgNGuhJCntz8ixASuydivFn7CeYdcr9nHVi/Zmbfbt9S3nM4nPP7dy4Y0tfV\nRGdyT6P17tO+Jv/vasSLh/aOM9Wd1sdk52rvGdZm40x1V44b/u7ZY27jNPvuXefr0kVnhlVX6s/d\nASvdzPRHG2nk/cgmhOwLWnUgxD/t04fRRhrudk13gybyVY1qy1eCVj1vCF2zSGUVFRXx8fGLFi3q\n3LnzlClTLly4wPcLyZHHqFXIY7xAHqtvHhPQV0ERTFYE37uQr0QpX92/f9/c3FxNTW3fvn2EkAMH\nDujp6enq6l6+fNnNzc3AwKBbt25nzpzhbl9eXr5hwwZzc3MdHZ3+/ftzr06+f/++jY1Nhw4dtLW1\nbW1tr1+/TggJDw/X1dXV19fPysry9/c3MzOrMlEeIWTPnj0cDsfe3r7K8uDg4GnTpqmo/GfW0I8f\nPxYWFrZr1467RFdXlxDy6tWrOtfW17Zt22bOnMnLcQkhOjo6lWsz1Miejo4Oj1GxWKw+ffrs3r1b\ndAbZSktLnz175ufnZ2pqOnbs2JiYGL5f04M0Ra0SzTTF1exrTs7OzmPHji0pKZGRkVm9evWRI0c0\nNDQ2btxI1fxHjx7t6OjIZrOpK9d2795dXl6+ZMkS6hxesGBB5WelLFy4cNq0adw/PTw8evfuraGh\ncePGjSNHjjT9SxMc6mEqZWVlV69enThxYqtWrYYOHXrixImfP3/WvXPjLFy4sPJ0bQsXLvTy8uJw\nOJGRkSkpKWlpaX379n3y5MmKFSuePHmSnZ09ZcqUjRs3Pnv277SYysrKly9fzs3NffjwYWlp6eDB\ng9+9e0etWr58+YYNG7Zu3Zqamjp8+HA3NzfqCTF+fn7e3t6zZ89OT09PS0ur/PxA+rXW1tbx8fHc\nP+fNm7do0aLi4mIFBYXjx4+/f/++ffv2M2fO5M7Mtn79+lWrVm3cuDE7O/vq1atsNltJSUlJ6T/z\nG3BdvHjR0NCwtsf8fP369caNG6NHj6b+pGpIle+CYjKZMjIy6enp1J8rV65MS0vbvn17fn5+QkJC\naGiovb29paUlL/tWd+fOnffv31cvtdI3xeOBunXr9vXr18rvqdCJi4tTb+L379/37NljZ2dnZma2\nbt06Hm+jpoc+zwszMzNCCPWAzWXLli1evLigoCAoKEhPT8/S0pLD4fj7+69YscLHxycjI+PmzZuf\nP3+2sbGhutaCBQumTp1aVFTk6en54cOHx48fl5WVDR48+PPnz1TjNPtu27atcoUsPDx8zZo13D9D\nQ0OHDx+ur6/P4XD40hnqhfoU+/Hjx65du6ysrNTV1T09PStXHJvSMqsOPTSUnqXnWu+71Tni2oY7\n7ypfe1tfc3roEkKiHv57ye3m+KTFdV1sSwi5+C7dsLV8lWt773z+/v5HoZtJuyobpxWUEEIqT8HH\nlBCXkRBPLyipc61Arbj2Snn9Ram15/TCrjofu//gW823UxeVlv+Vkjmzu67Uf68X7qbG+prPfpYm\nQrUxQkh5eTkhJD8//+jRo87Ozl26dPH19a1c+m2wwry8G7Exlw/v7247qHPPGr4oSzGZHiFhDDGx\nSL+lJcVFNE3xvmWddI07E0LSv3wkhDj/Nm/41NnsosJTO7e1bafdsWt3DodzfMfm6C1BY+Z47o9/\nsTb6TFbqN98JzjnfMwkhQyfN6D/StaS4eOjk36L++mfT6avl5eVrpo/LSv1GNU6z7wzfdVaO/86N\nMHNVkOuCpdw/p68M6NHfTk1b99Sbb+FX40kTQr6qrsZ81WCNzBuC0PJSGfX7qLS0NC4ubtasWR07\ndvztt9+uXr3a+BmYkceQx+oLeaxeeUygXwVFMFkRfO9CvhKZfNWrbBVr/AAAIABJREFUV6+LFy9y\n/5w6ders2bPZbLa8vPzOnTvv37+vra29ZMkS7idpYGDgjh07AgICnj9/bmdnN3fuXGrcIzMzc8SI\nEQ8fPnz+/LmcnNy8efMIIe7u7nPmzCksLAwLC9PW1u7evXv1mkpcXJy+vr6MjEzlhf/888+HDx9G\njRpVZWNqHl05OTnuEmlpaSaTSS2nX1svqamp8fHxQ4cO5eW4hBBPT8/MzMy9e/cWFBQkJibu2rWr\nf//+3bt35z2qLl26pKamJiQk1DdUweFwOOXl5dxrejp16uTm5hYTE1NU1KhsQJCmmkmaojT7mhNX\nly5d5OTklJSUBgwYwGazK9/zIS4urqOjIykpqauru2jRoqKiIupqeqBSwM+fP//8809XV1cVFZVJ\nkyadP3+ev3fp5ubmMv5fWFhYjdt06tRJVlZWRUVl/PjxhBBtbe3WrVvLyspOnDiREFJ5GlYFBQVd\nXV0JCYnOnTvv3r2bzWZT95Cy2eyIiIiRI0eOHj1aSUnJ19dXUlJy//79xcXFW7duHTRo0OLFi5WU\nlGRkZFq1asVtjX5tbfr06aOoqNimTZtx48YVFhZ++vSJWh4bG9u9e3cnJycZGRlzc/MRI0bcvHmz\nxkpeYWFhSkoKdRtQjUJCQubPny8m9r8ztKSkhBAiLv6fb/ySkpLFxf+b57pfv37e3t4LFiygZoDN\nz8/fs2cPj/tWUVxcvHDhwoiIiOqr6Jvi8UAdOnQghLx48aK21y5cVOdPS0uLioqytrbu3bv3pk2b\nqFkKeYc+X69/Luo1MhiM/Pz/PEonJCTEw8Pj1KlTOjo61L2qEydOZLFYJiYmUVFRWVlZle8fl5CQ\noO5k6tSpU0RERH5+/v79+6nXW+e+Io7690xPT4+KiqKu//L39+fWHZuGjIR4/Iy+YQ4mRq0VXmXm\ne8clGIdf+/tjA++Un2KmLScpfvDpp+KyckJI8o/CB99yqo8UVFFYWp7yo5B6GjZXcVn5wssvIoaa\nVd++pLycECIuxqi8UFKcQR2Ufq3gTDHTPjfe8vMi+4KVw46O7vEpt6jf/tsJmTU8RCro1lt1Bea6\nAcZVlndQkSeEvKj2xAIRQXXX79+/Hzx4cMSIEZaWlps2bap+TWKdivLzRhtpjDbSmNzTaMeKRaPn\nLPDesbe2jQ3Nug+fMivj6+dDmwLpm+V9S3oycvIMBqO48D8PKp+0xMdxwjSv7XvaaLQ7v3+npd2Q\nvk6jZRUUdToaz16zPu9H9p/Ho7kbi0tItNPvICkl1c6g46zVwcWFBddPHyOE/GSz69xXlCFfUWrM\nVw3W+LzBdy07lXF/H12+fHny5MnGxsYeHh43b96s7+XDyGPIYw2GPMZ7HhP0V0FRTlYE37uQr0Qg\nX9XIwsJCQUFBRUVl5MiRRUVF1EPlS0pK9u/fP2TIkGHDhrFYrEWLFklISFBzqAwbNmzp0qUsFktJ\nScne3v7Hjx/fv/97l6evr+/06dP37t1bZeqRoqKiT58+Uff9cLHZbD8/v5CQkOpR1TZgRd3ZTL+2\nXrZv3z5jxow6R/O4Lffu3dvDw8PHx8fAwKBfv34FBQVbtmzhcV8KNcURd04vkVJeXl5eXl5WVnbz\n5k1PT08jI6OGXdODNNUc05RE3Zs0N9SzT2qrmhgaGjKZTO6AaQtz4sSJhu1Ine0FBQVHjx6Njo5u\n06aNsrIyd76pRmKxWDk5OdT/L1y4kH5jKSkpUunto97N2pKRiYkJi8WiZkJLTEwsKirq0qULtUpG\nRkZNTe3NmzdJSUlFRUUDBw6ssQX6tXWiouWGx2azuQ9nIoSUl5dLSkpW+XigZGRkcDic2m5y+vbt\n27lz5zZu3MhdQjVbpVf//PmTe0GHj4/Pnj17rl271qtXr4yMjOXLl/fu3Ts+Pp6aro1+3ypWrlw5\na9YsTU3N6qvom+LxQNSrprnLqrJHjx7x8WlDNap8E1Jl1Av58OFDaGjo5s2bqctMqhRFaoM+X99m\nCwsLORyOoqJijWsTEhIKCgp69OjBXWJhYSElJVXb1Xw9evSQlZWl6nb13VfQvnz5UmeivnfvXo3L\nqR8VSUlJ69atCwgIMDc3J4QI7skTVUiKiS3opb+gl/79rz9Cbr+NfZM6NuZB4vxBysx6P2+MJS3p\nZqK1+/GHYy+/TjPT3nrv/TwLPSlxsZ/ldA9Uyygs4RBS5WLblddezequq6lQw0OwqWcPlP33IW0/\nyzkyEuJ1rhUcLUUZLcX/pUTLdq32O5ubRV0P/yc5YmjXypudfv0tJuHr1Ul9Kl9+S6H+BXi8Hyst\nLe38+fP8CLxWT58+rXE5lSWoFLpp06YuXbpwOBwZVQ0em5VVUDz04A0h5PeN687ujZBVUBSXoOtp\nbgu9H9748/KRA1ZDRtC3zPuWNEqKizgcjoycQo1rPyclsosK9bv8+54amJhJSEq+e/6kxu31u3SV\nZsp8SU5qwL4ChXxF+JqvGqzxeYPvmjKVZWRkCDqPUQM61VHfzQoKCmJjY0+ePKmqqqqoqCjftoZv\nyDVCHuNxX4FCHiMtPY8J+qsgvnfVCPlKEJpvvqJReXg2KSmpuLjYyMiIWkVNj199NhEJCQny/zfz\n0cvKyuJwOFWGm4KCgiZNmqSuXsOkoNTARZWWf/78SS2nX8u7tLS0K1eurF69msfjEkKCg4MPHz58\n8uRJc3PzrKysdevWDRky5OLFixoaGjxGRf0j8HhLlqDTFKnl7aO6AXVNz4ULF1gsFtVRORwOL4N+\nSFM87itSWmDNqU6SkpLc4eAWpgGPUamCSg2ZmZmZmZlfv349efLkmDFj+BHa/4SGhvKxNUKIpKQk\n9QWLeiqVr6+vr68vd626ujr15L0qzyXiol9bX0OGDNm4cePZs2ft7OwSEhJiY2OHDRtW4/g7dVVC\nlecccq1fv37mzJmVP0Wo+l/lLw1FRUVsNpv6KE1NTV2/fv2KFSsGDBhACNHT09u9e7eysvLGjRu3\nbdtGv28Vt2/ffvHiBfeqiirom+LxQNTHIY9Xi+zevXvnzp28bNlg1Neg2nA4HOqjkZqzLioqauDA\ngVUupaGHPs+Lt2/fEkK4X0CroDJ25WdyEkKUlJRoSoDS0tLUV64G7Cs4HA7n7t27d+/ebWQ7VKJ+\n9OgRIWTPnj29evWibh9sGr00lc+49pp38Vnkw5TrKZmjjHn9NVvZPAu93Y8/RD1MGWmkfiLh62uP\nQXXuwi4rJ4RIS/x7f/btT99fpOdtsTepcXs1eWlCSF7Jv1XwotJydlm5ugKzzrVNxkRVUZzBePv9\nP9dDHXv5Zcvd9zemWmvUFAw1FMLm7X6sp0+fcmcSFxYqhVLVfVZq+se3r3U61uMmjLHzFv599uTh\nLcEWA+xbq9fa2SSlpT2CQ33cRoSvXDRpqW9tm9VrSxrfUpIJIZrta56YqDAvjxDClP3PteFyiqwq\nF779Jyopqbwf3xu2r+AgX1H4kq/4qAF5Q9AEmspevnwpInksIyMjIyNDJjXt7pULve2H8b478lid\n+woO8hilpeaxJvgqiO9dNUK+EoQWkK/oUZOqhYSEVL4JqW3btoSQuLi48PDwxMTE/Px83mddoi4Z\nqTyqdv/+/devX1eeLb8yagyk8jhAcXFxSUkJFQP9Wt7t2LFj4sSJlaOibzk9PX3Hjh0LFiywtrYm\nhGhra2/evNnQ0DA8PDwwMJDHqKjBw9quoamiCdIUdaVybai3ODc3l3pw15WjBx3cpvLeONJUnfuK\njl+u5lRWVlZQUMCv8VZRw8ucDzQFZCkpqZ8/f7JYLFdX13fv3snLy/O34MR3ZWVl2dnZ2tra5P/z\n+NatW6vcVkJlsdqSb71Sc538/f0fPXo0derUgoICdXV1FxeXwMCab8+k6i41Fv/T0tKOHDmSmJhY\neaGenp6CgkLlGd6o60FMTU0JIe/evSsvL9fQ+DfbKioqtmrViprOlX7fKvbu3Xvt2jXuXcCUwMDA\nwMDABw8emJmZ0TTF44Goa3Bqu8uqiqioKCcnJ162bLADBw74+fnVtlZCQqKsrKxTp07jx4/38/Pz\n8vKqV8GJ75pvn6d3+fJlQoijo2ONa6kHRFWpEuXk5FR+lmZlpaWl3LX13VegGAwG9QhN+s1iYmJc\nXV1rW0v1yY4dO44fP37NmjWLFy8W0A+Jmx+/P0rNWWSpTwgZHfPP8TEWEpWmH5nUVSvyYUpRaQNn\nojNTY1m2a3XvS/bsC0/Hdtbk5aJd6jd/5Uty9z75eC0lU2xNbOXNAm8lBt5KfDDT1kyNpSAl8THn\n33mZk7ILCSGmbRUJIXpKcjRrm0wFh1RwOJUHdLb/k3wlKeOvKVbytVzhS12VLMPbdccODg67d+/m\nS6i1uXz58tSpU2tbS9XI9fT0Ro8e/eTJk2JJ2XoNfBBCZOTkJy1duX35wt1rVqyIOkizpaFZd6ep\ns8/uizwRubWNOt2NCLxvWZsnt68TQsz7DqhxrZyiIiGkys+AwrxclbY1P4a9vOz/2rv3eKjy/w/g\nnxmX3CfaRBeXLlSky9euFIV2QxfCZvVjN1Tb1ha13VsValNsdNW3TaH7hS6Sku+WUtTWupRIW7Eq\n1yK3XMbM/P6Y77daaQxm5pzh9Xz0x66Zc84bn/Ny5nzO5/Nh19VU9+rTtwPbihXyik8keSVCHcgN\ncRNrlNnY2Ig7x+rq6gTMd83/fMSfICg3N5enqtGuDieCHGtrW7FCjvF11RyTwKUgrrs+BXklclKU\nV7dv387Kypo/f367turVqxchJDAw8Pvvv//w6y9fvvTy8poyZcr27du1tLQOHDgQGBgozA4/HgN0\n7NixlJSUFg89b9++ffv27YmJiUZGRioqKvxncPny8/MJIcOHDyeE6OjoCHhVSGVlZWfOnPlwhew2\n95yfn8/hcD7sQ1JVVe3Zsyf/lqCQVfEfShZySBZ/IXaxMjAw+NSCC/xWqqysbG9vP2DAgLCwsHZ1\nOBHEVFvb0krXWc9JSJmZmTwe7935KSMjI8yYza5NTk6OwWAoKyu7urrGxcW9evVq3759n332mfiO\nWFxc7OXl1fn9XLt2jcvl8sdj8ieR+3iwubGxMZPJvH79eqt7EPxqez18+PDp06fl5eVsNruwsDA8\nPFxdXb3Vd2pqajIYjKqqVhYj3bp1q4eHR4sldmRlZadMmXLjxg3u/4b/X7p0icFg8Ptj+HfPi4uL\n372/pqamoqJiwIABbW7bQmRkJO8D/JEiP//8M4/HMzU1FbwrIQ/E/67b+7SIhPEHP+nr6y9ZsiQt\nLe3q1audfBgEbV6AkpKSsLCw/v37e3t7t/oGY2NjFRUV/lAzvjt37jQ1NfEnPPxYcnIyj8cbO3as\nMNvKysp2fnlwCeA/K9SvX79ly5Y9evQoLy/P399frEf8s/iN8v8+YDc2c3P+Oed+3qtaQohJH1aH\n97/wc31CSExOEf/2Sps0lXswCKlqfP/LinQcw9sw492/8hVTCCE/WxryNsww7dtTlsmYMqTPjb9f\nc//3NMalJ6UMQhwMtQkhgl8VH9sj//gEcreokkeIeX8NQgiPkFX/efigtPqcm5mAGy78n0Af5daH\nydIEf04MLS2t+fPn37x5My0tbfny5Z+aTrZNEx1nDhk55l5yUuqlOMHvnOW7st/Awfk5rc+Y2rF3\nfuzNq7ILUb/10tKe5OLW6ht0hgxVUFJ+mp317it/ZaU3s9mDjFp51IMQkv1HGo/HMxg1RphtmTKy\nzc10jyzk1cd51Rmdzw2R6w5Rxs8xZWVlBweHQ4cO3b9/f9OmTcIsgdkq5BhyrE3IsQ7kmAQuBekf\nVgTXXcgriedVVlZWBxpYv379evTo8fHSBrm5uWw228vLS1dX91NTAbXqs88+YzAYH060s2PHjpIP\n5OTkEEKWLFlSUlIycuRIWVnZSZMmpaWlvbthdfXqVQaDYWtrSwgR/KqQdu/e/fXXX/Mfe31H8J75\nPWRlZWXv3l9bW/vmzRv+M+VCVsX/IdB5cAWTyWQymfLy8nZ2docOHXr06NHu3buHDevgEqSIKWmJ\nqW7R58Tj8WpqajgcztOnT3fv3t2nT593T9P369evurr65s2bzc3Nb968adHfq6am9vr165KSkrdv\n3wo/wFNayMjIMJlMOTm5r776Kioqqqys7PDhw9OnT+dfsogJj8err6+PjY391MItbWpqaqqqqmpu\nbk5PT/fx8dHV1eU/6aOgoODl5XX8+PHw8PDq6moOh/PixYvi4uLevXu7uLjExMQcOHCgurr6/v37\nv/3227u9CX61vRYtWqSjo1Nb2/YIRyUlpYEDB374tAJfaWnpwYMHly5d+vEm69atKy0t3bBhQ11d\nXVpaWkhIiKenp6GhISFEX1/f2tp6//79N27cqK+vf/78Of+Rkzlz5rS5LSHEzc2tT58+6enpwnyP\ngncl+FU+/nc9YkTrcyBQi9/4NTU1Z8+enZSUxL9e19fX78w+0eZb4PF4tbW1XC6X36l58uTJ8ePH\ny8jInDt37lM/IgUFhWXLlp05c+bIkSPV1dUPHjxYsGCBtrb2h49WcbncysrK5ubm+/fvL1myREdH\n591PSfC2gwcPrqioOHfuHJvNLi8v/3CgHiFEQ0OjqKiooKCgpqaGkq4p/keI3r17//DDDykpKS9e\nvNiyZUuLc0rk2FxuaV1jckG5svz7hzqdTt459fDlmwZ2VSP7fF7x6v88dDTU7syoIFejfp8pyTsN\n1R4o3PLUSnIyA9WVX1TXC3+IdROHltY1bkh+VMfmpL2oCLn1l+coHcNeKsK86hZzt8+vl9KLRTwT\n78vq+hPZL940sNlcbtqLirlxGTosxQWf6xNCcsprgm/9tT+9QG7jeUbAuXf/fk39xyzn/J/ACMmO\nxxISv7lqaGh4enqeP38+IyPDz8+vxWK/HcBgMOb8vJHBYBzYtK62upVnNd6R69FjUVAYU4jpPYV/\nJ4/Ha3hbx+NyeTxedcXrWwlxa2c5Mpkyq/ZEKqq0PmG3XI8eDt4/3L5y6UZcbH1tzd+Pc/cFrFbv\n3Wey27fvd8vl1lZXcTjNf+flHty8/jPtftZO3wizrbauXm3Vmz/+c5nTzK6ueF3+8h8XEqo9e1aU\nlZS9fF5fV8uR+GcP5NU7HcgrATqTG4iy9mIymQwGQ05OzsrKav/+/fx7IpMnT+7AvMEfQo4hxwRA\njokvxzpzKchH27AiuO76YOfIK8nlFZtdXl6empragT6nHj16zJo16+zZs1FRUfw7tMXFxaWlpfyl\nxG/cuNHY2Pjs2TMhb0wRQhQVFXV1dT989rpNP/30U3l5eUhIyNu3b+/du7dnz55vvvnm3Vhnwa/O\nnz/f2Nj4wYMHn9p5eXn58ePHWx3+JWDPOjo648ePP3LkyO3btxsaGoqKilasWEEIcXd3F6YqvqKi\nIkJIh7twxIfJZMrIyMjKylpZWW3fvj03NzciImLy5MmCV7hoE2JKWmJKyubWy83N3bp1a2FhISHk\nu+++c3Z2VlFR4a+z5+3tHRwcnJ6evnfvXkLIihUrtm3bxh//0dTU5OXlVVlZqaCgMHr06IULF75r\n346Ojunp6YGBgb169TI3N+d3qi9cuDAsLExTU9PR0fHu3buzZ882MDAIDAzswPP7tCUjIzNp0qRv\nv/3W0dFRVbX1s6KTzp49u2LFiqdPn5LWJvTjr0CzY8eOkJAQQsiIESMOHz5869atoKAgQoidnV1o\naKiMjIyvry8hxMfHR1ZW1s3NzcPD49ChQwYGBhUVFSwWa/LkyVu2bHl3n3r79u1qampbt2719fVV\nV1efMGFCYGCgtrb2wYMHWSzWqlWrlixZMmrUKBsbm2vXrk2fPv3ixYsmJiYCXr1x4wZ/orBVq1Yl\nJSXZ2tqGhYURQkxMTC5fvvz7778vX76cX21SUtKQIUM2b948c+bMd+1ETk5u8ODBmzZtcnZ2/vjn\nM3Xq1L1799bX1384y1xwcLCDgwN/5rQWjIyMEhMTV6xYERISoqGh4e3tvXHjRv5LDAbj9OnTmzZt\nmjNnzvPnz+Xk5EaOHBkbG2tpadnmtoSQpqamsrKy8+fP80fPCCZ4V4Jf5bt7926/fv1andmPKvy+\nBHV1dRcXFycnp0+NnmkT2ryANn/hwgU/P7/i4uLm5mYWi8XlchkMBovFMjAw8PT0/PHHH989Oxwc\nHMxfUczAwGDz5s0eHh6EkA0bNqioqAQGBnp7e6uoqFhZWZ04cUJZ+f1n5oaGhhEjRpSWliopKdnY\n2Gzbtu3dQ1KCt124cOHVq1dnzZqlra09bdo0/vlobm5+9erVAQMGLFiw4MqVK8OHD//Xv/4VExMj\n4fF5ampqbm5u7u7uFhYWLWa8FJWzj4pXXMl+WllHCGH8c2YSQojnKF3+f/iOHXgg/e+1v+d8d/ZP\nHiH6PZUWfK6/2sLgwzfXNDVPO5aWXVZDCLnwuGTIriSvUbprLQ1aHOjz/cluxv132Zv0kGF6j9ad\nMfS/D5Ouu5Ybkf43IeRawSuj8N/3TRtlodOrRT1TDbT23s2vb+a0WN75U4x6qyZ6jFuRlB1y6y8N\nRXnv0bobbYYJ+WoTh1tW13g+r2SMds+P93z7RcXyKw+fVdYV1zYQQrS3XR6orhQ0yWiCbi8BLxFC\n7Ab38buaOzcuo5HD1VJRsB/cJ8B6aC9FeSLc7LiEkLsv3/RTVejMk85ioqKi4ujo6OzsbG5u3uHm\nmpdxb/eaJSWFBYSQeRNGf25j+73/FkLIEJPRVjNcr509ufBLM6e5i/rqDzoUsrGksGDV1/bjpzjO\nXfd+Sk+Dkf+a7jm/uOAp/3/vJF0S8p0t3LuWdGz7lsqyUg6n2cPUkMflMhgMJVXVvnqDrJ1c7d29\nVFj/bRjnIsIvRO0jhCyyG+++dM0EBxdCiOuPPykoKZ3aE7p77U+KSkpGZuN+Cv13D8X3H86bGhuX\nTreuevVKXlFxxNjxnqs2yP1v3nPB29r9n+eD27dCly1Q793H1OpLeQVFQsiab6YFRMd8pt3X1m12\n5s3rvlMnDjIyWb5zf89eknvaEXnVop6P84qS3ECUtYusrOzEiRO//vprOzs7IWeB/hhyrM1tkWPI\nMRHmmGCduRTko2dYEVx3Ia/En1cJCQmBgYEFBQXkf0t3f4g/xd/Bgwf5y1dv3Ljx+vXr1tbW/NW4\nra2tjx8/npKSwl9ayc3N7dSpUwMHDty4caOKisquXbv8/PxYLJa5ufnKlSuHDRu2aNGigwcPHjhw\nYMKECePHj4+Pj3dwcLCxsTl27BghxNzcfO3ata0u/PHll19GR0c3NDQIOa2coaHhyZMnAwIC9uzZ\no66uPmvWrNWrVwv5KpvNfvXq1eXLlz/1/PSePXtsbW35XWjCH5fBYERERISFhS1duvTly5dycnJG\nRkYHDhwwMzMTpiq+zMxMbW3tdk0DKAEMBuOLL75wdXWdOnUqi9XBFEVMtbktbWOKEML48G88f25Q\nCczt+I6WltaGDRusra3Fd4jQ0NDk5OS4uDYG3ImWlZXVb7/9Ju51aD4UFxf3/fffC/Mxb8KECbNm\nzZo5c6bg2fNcXV0bGhoEzEespaV18uRJV1fXjpTbRYWHh//111/8e/SEkKamptWrV4eHh1dWVn78\nwfXJkyfDhg2LjIzk31KnEJfLtbKy8vT0/NTMZiL0+vXr/v37b9q0admyZW2+mcFgSOA8io2NTUlJ\ncXZ25o+2EfBOtPmPtavNi88PP/xw+vTp169fS+yIrWrzb+i8efMUFBTanKf74sWLx48fnzVrVptP\nAAk+R/77d2HDDGGKlwpPKuqG7flPpOMYD5MB4j4Wl8ezirrpOUrHe7SuuI8lvNf1Tf1DEzfZDFtm\n3vZDrK6n7zYMGiPudQWSk5NPnDjh5ORkY2MjuLnOmzfvNZss275PrPVIhX0bVqVevhB9J4fCGlIv\nxW1b+gPySnwkmVcCSHuUSSbH3r596+Hh4ezsPG3atBbz4bSAHHsHOfYx5JiYUJhjuO7qGpBXH+Pn\nlSTv/YpJfn6+paXl9u3bJbAUPZfLdXJycnNzmzVrlriP1S6VlZWjRo1avXr1ggULBL9TYr/3//u/\n/7OysnJwcPi4t/LjemIfFYm7HvqjQ0wRQlyG9m37Oke4x8v4pGycU8dgxaYP3bhxg+oSuqaSkhIf\nH58PF9eRl5fX0dFhs9lsNvvj+++DBw8ODAwMDAycMWOGiooKoQiHwzl//nxNTY2bW+sTj4qWv7//\nqFGjfHx8JHAsIbm4uLi4uFBdhVRqb5sXq66U81OnTp06dSrVVdDRYA3lQOthgdfzZgzVFuvKJRwe\n7/yj4pqmZjfj/uI7Sgf4Jz8apcXyMRtIdSHvWVlZWVlZUV2F9Hk3J7u0Q159isTySgBEmZCUlJTO\nnDlDdRXSBznW5SHH6BZWBNddHYW86qr09fVXrlwZGhpqb2//4SQoIsfhcC5fvlxXVzdjBu0eLAgJ\nCTE2Np47dy7VhbzHH6AG7dJlYupD3WI9JwAJUFRUlJOTO3DgQGlpKZvNLioqioiIWL9+vZub26dW\nqVmzZs3MmTPd3NyqqgTNQCpWycnJsbGxly5d6vAqo8ILDQ3NzMxMSEjo5OStQBMdaPMAnbTGwmCm\nUV+3mHuiWtS6VckFr2Jziy65myvJdWoBD9EKTXuSWVKV4G4uJ54JNABAtCSTVwIgygCgk7pzjiGs\nAKSCj4/P9OnT58+fX11dLb6jpKamXrx48dixYxJ+srZN//73vx8+fHjs2DHcZAMaovjPp4yMjFi7\n8vbv33/p0qW6ujo3N7fr16+L70Af4j9u38mVZulPVla2Kw0s6DwWi3XlypXs7GwDAwNFRcXhw4dH\nRkZu2bIlOjpawFa//PKLj48Pf0UfSkyaNOno0aOCR7yKxPnz5xsbG5OTk4VcF625uZnQ7DxCm2+h\nY21e5NauXRsZGVlVVaWvrx8TEyPJQ7fA4XBkZWk0eph/+nBivNVrAAAWf0lEQVTaM/ZZKvxiM9zH\nbGBQymPxHWKSfu+jzqZaKkJNCy4Z5/OKGzncZE8LdQVhP04083i0ilAZGRkuFxFKjoYGXT1z4m1N\n9YJJZmmJ8VSVweVyZZBX4ieBvBKgC0QZcoyekGOtQo6JA1U5huuuLgN51ar/5lVXubmxZs2auXPn\n7ty5U3yHsLS0DA8P19TUFN8hOuDy5ctNTU1nzpwRcrUket6v4HaVdthhNIkpDkf092Apbm1qamp1\ndXXi2/+8efPmzZsnvv23iv8ddXiFNGmhpqZG4egcerK0tExKSmrvVpMnT548ebI46qEVR0dHR0dH\n4d/Pb120Oo/Q5j/WsTYvWps3b968eTO1NfC9efOGVgO8+MVUNbA1FOWprkXEJg/SnDyIXlf84uZo\nqO1oqN2uTd40cXVoFqH5pc+oroJ67j+tcf9pDdVVkLrqKlVVVaqreA951U20N8qQY/SEHGsVcqwr\nwXVXl4G8ahU/r2pqagSvYihFuue0k3Z2dnZ2dsK/v6qKju3wbW2NCquLtMOOoUlMva2pIaK+B0vx\nOKcBAwY8f/6c2hpErrCwkBCiq0ujpXrFQUdH5/Fjah53gu4gLy+P0Ow8QpsHwR4/fqynp0d1Fe/p\n6OgQQh6/rqW6EKBG3utaukXoy/ynVFcB/1VU8Ax5BfSHHAMBkGNAK8grEICeefX0KVpI9/LsGR3b\nYVEB2iEtFOU/JaK+B0txn9PIkSNzc3OprUHkcnNzWSxW//70Wq1X5EaMGHH79m2qq4Au686dOz17\n9qTVeYQ2D4LduXPHyMiI6ire09HR6ammmvaikupCgAIvquuL3tQaGxtTXch7JiYmr0qKX5cUU10I\nEELIk/vpI+jUPJBX8DHkGAiGHAP6QF6BYDTMKxaLde/ePaoLAYlKT0+nVUzx22Fexp9UFwKEEPI4\nK13kfRkU9zlZWVnl5ORUVnapK7PU1FQbGxsGg0F1IeJlZWX1xx9/lJaWUl0IdE1xcXHW1ta0Oo/Q\n5kGAkpKSO3fuWFtbU13IewwGw8ra5sJfZVQXAhSIyytRUlQYO3Ys1YW8Z2ZmpqikdO/aFaoLAfLm\nVdnjrAzkFdAccgwEQI4BrSCvQAB65pW1tfWVK2ge3UhZWVl6ejrd2qGVtfWf1yherAH47l29Yi3q\nvgyK+5wmTZqkqqqakJBAbRki9OLFi8zMTCcnJ6oLETv+7+7gwYNUFwJ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gNDQUT58+RV5eHjIyMnDnzh2J5w5IOq4ky7kDREWR2mSbjIwM+Pn5oWXLlgCA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To do this, we need everything in multiples of 8, hence our BS of 8. This helps use the CUDA cores (tensor cores) to the best of their ability" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "zsB9gm5DRp1z", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn = learn.to_fp16()" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "MEEm4JpbRPOG", + "colab_type": "code", + "outputId": "5c96ab0c-20ff-4103-9c1c-83b86566beb2", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 300 + } + }, + "source": [ + "learn.lr_find()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "SuggestedLRs(lr_min=0.012022644281387329, lr_steep=0.033113110810518265)" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 246 + }, + { + "output_type": "display_data", + "data": { + "image/png": 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epochtrain_lossvalid_losstime
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epochtrain_lossvalid_losstime
03.9198463.92139900:13
" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "yvWV0OnmSYwU", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn.save('fine_tuned')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2d8EaQxDTdDI", + "colab_type": "text" + }, + "source": [ + "How good is our model? Let's see" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "KNqreLnLTb8-", + "colab_type": "code", + "colab": {} + }, + "source": [ + "text = 'I liked this movie because'\n", + "n_words = 20\n", + "n_sentences=3" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "dFXQ_N6wTifU", + "colab_type": "code", + "outputId": "0320e770-bee4-4383-e41b-9735ef3db869", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 88 + } + }, + "source": [ + "print('\\n'.join(learn.predict(text, n_words) for _ in range(n_sentences)))" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "stream", + "text": [ + "i liked this movie because such characters are just walking out martial arts films , just that family which is not * driving or beating\n", + "i liked this movie because i have been younger changed since i 'm very bad in the film . i n't generally thought it was\n", + "i liked this movie because it ended up being on the list of TV shows in the United States . Creating\n" + ], + "name": "stdout" + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5sU7YrE8Tqs9", + "colab_type": "text" + }, + "source": [ + "Seems like a movie review alright. Let's save our encoder and make our classifier" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "KqOgvhvyTwce", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn.save_encoder('fine_tuned_enc')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "foaQuPj1TvZW", + "colab_type": "text" + }, + "source": [ + "# Classifier\n", + "\n", + "As I mentioned this is a transfer-learning approach to text classification. What's it look like? (Diagram based off of `fastai`'s)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "pfIgSg3m1dJ2", + "colab_type": "text" + }, + "source": [ + "### Hidden" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "hIBx-jFx1c6E", + "colab_type": "code", + "colab": {} + }, + "source": [ + "encoder = ['WikiText 103']\n", + "lm = ['Corpus Text']\n", + "cls = ['Corpus Classification\\nText']" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "yJse_7S21xUJ", + "colab_type": "code", + "colab": {} + }, + "source": [ + "block1, block2, block3 = ['Pre-Trained\\nLanguage Model', 'Fine-Tuned\\nLanguage Model', 'Classifier']\n", + "conns = ((block1, block2),\n", + " (block2, block3))" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "1cXwJnTv2ax0", + "colab_type": "code", + "colab": {} + }, + "source": [ + "def color(o):\n", + " if 'WikiText' in o: return 'gray'\n", + " if 'Classification' in o: return 'gold'\n", + " else: return 'tan'\n", + "node_defaults['fillcolor'] = color" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "udNbYgLw1-OS", + "colab_type": "code", + "colab": {} + }, + "source": [ + "model = [\n", + " seq_cluster(encoder, block1),\n", + " seq_cluster(lm, block2),\n", + " seq_cluster(cls, block3)\n", + "\n", + "]" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "9JaOz9LU2DhT", + "colab_type": "code", + "outputId": "e4137bb6-b5b1-401a-847c-75b6f5c2cd10", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + } + }, + "source": [ + "g = graph_items(*model)\n", + "g.add_items(*object_connections(conns))" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(#2) [,]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 281 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "VlpOyD-92wEH", + "colab_type": "text" + }, + "source": [ + "### Show" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "liSkCS4l2D9z", + "colab_type": "code", + "outputId": "b212f86f-ed57-46ca-89dd-3c299b344f85", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 174 + } + }, + "source": [ + "g" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "" + ], + "image/svg+xml": "\n\n\n\n\n\nG\n\n\ncluster_n6efdbb90b72b4966ad9f02eb91e773bb\n\n\nPre-Trained\nLanguage Model\n\n\n\n\ncluster_n450a531a30964bcc90af08464404ba63\n\n\nFine-Tuned\nLanguage Model\n\n\n\n\ncluster_n30083c92bb884984b7b40a49d8f98c4e\n\n\nClassifier\n\n\n\n\n\nn5189084d06974af994f740fcc9d97108\n\n\nWikiText 103\n\n\n\n\n\nn3ec335bf7741418d9fd61aad24b5aa88\n\n\nCorpus Text\n\n\n\n\n\nn5189084d06974af994f740fcc9d97108->n3ec335bf7741418d9fd61aad24b5aa88\n\n\n\n\n\nne93cf6e406c347f8ad7944bb599b4246\n\n\nCorpus Classification\nText\n\n\n\n\n\nn3ec335bf7741418d9fd61aad24b5aa88->ne93cf6e406c347f8ad7944bb599b4246\n\n\n\n\n\n" + }, + "metadata": { + "tags": [] + }, + "execution_count": 282 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "chew68C-UL7y", + "colab_type": "code", + "outputId": "0e311b48-1cab-4554-eb7a-77321836b3b3", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 595 + } + }, + "source": [ + "df.head()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/html": [ + "
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labeltextis_valid
0negativeUn-bleeping-believable! Meg Ryan doesn't even look her usual pert lovable self in this, which normally makes me forgive her shallow ticky acting schtick. Hard to believe she was the producer on this dog. Plus Kevin Kline: what kind of suicide trip has his career been on? Whoosh... Banzai!!! Finally this was directed by the guy who did Big Chill? Must be a replay of Jonestown - hollywood style. Wooofff!False
1positiveThis is a extremely well-made film. The acting, script and camera-work are all first-rate. The music is good, too, though it is mostly early in the film, when things are still relatively cheery. There are no really superstars in the cast, though several faces will be familiar. The entire cast does an excellent job with the script.<br /><br />But it is hard to watch, because there is no good end to a situation like the one presented. It is now fashionable to blame the British for setting Hindus and Muslims against each other, and then cruelly separating them into two countries. There is som...False
2negativeEvery once in a long while a movie will come along that will be so awful that I feel compelled to warn people. If I labor all my days and I can save but one soul from watching this movie, how great will be my joy.<br /><br />Where to begin my discussion of pain. For starters, there was a musical montage every five minutes. There was no character development. Every character was a stereotype. We had swearing guy, fat guy who eats donuts, goofy foreign guy, etc. The script felt as if it were being written as the movie was being shot. The production value was so incredibly low that it felt li...False
3positiveName just says it all. I watched this movie with my dad when it came out and having served in Korea he had great admiration for the man. The disappointing thing about this film is that it only concentrate on a short period of the man's life - interestingly enough the man's entire life would have made such an epic bio-pic that it is staggering to imagine the cost for production.<br /><br />Some posters elude to the flawed characteristics about the man, which are cheap shots. The theme of the movie \"Duty, Honor, Country\" are not just mere words blathered from the lips of a high-brassed offic...False
4negativeThis movie succeeds at being one of the most unique movies you've seen. However this comes from the fact that you can't make heads or tails of this mess. It almost seems as a series of challenges set up to determine whether or not you are willing to walk out of the movie and give up the money you just paid. If you don't want to feel slighted you'll sit through this horrible film and develop a real sense of pity for the actors involved, they've all seen better days, but then you realize they actually got paid quite a bit of money to do this and you'll lose pity for them just like you've alr...False
\n", + "
" + ], + "text/plain": [ + " label ... is_valid\n", + "0 negative ... False\n", + "1 positive ... False\n", + "2 negative ... False\n", + "3 positive ... False\n", + "4 negative ... False\n", + "\n", + "[5 rows x 3 columns]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 283 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "TUYHoYjmUadX", + "colab_type": "code", + "outputId": "b442db75-66f9-48bf-b9d1-28d2b0d473b5", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + } + }, + "source": [ + "len(df)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "1000" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 284 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "N_ToTF-i3JfZ", + "colab_type": "text" + }, + "source": [ + "What's that `DataBlock` look like?" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "XEChvTR333uQ", + "colab_type": "code", + "colab": {} + }, + "source": [ + "blocks = (TextBlock.from_df('text', seq_len=dls.seq_len, vocab=dls.vocab), CategoryBlock())" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "LaBXhIPM3UOb", + "colab_type": "code", + "colab": {} + }, + "source": [ + "imdb_clas = DataBlock(blocks=blocks,\n", + " get_x=ColReader('text'),\n", + " get_y=ColReader('label'),\n", + " splitter=ColSplitter())" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "LtsnRHul25qI", + "colab_type": "code", + "colab": {} + }, + "source": [ + "dls = imdb_clas.dataloaders(df, bs=64)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "kdwUDFheUZhW", + "colab_type": "code", + "outputId": "0cc349a8-377e-4c7f-c895-584834d2b745", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 448 + } + }, + "source": [ + "dls.show_batch(max_n=3)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
textcategory
0xxbos xxmaj raising xxmaj victor xxmaj vargas : a xxmaj review \\n\\n xxmaj you know , xxmaj raising xxmaj victor xxmaj vargas is like sticking your hands into a big , xxunk bowl of xxunk . xxmaj it 's warm and gooey , but you 're not sure if it feels right . xxmaj try as i might , no matter how warm and gooey xxmaj raising xxmaj victor xxmaj vargas became i was always aware that something did n't quite feel right . xxmaj victor xxmaj vargas suffers from a certain xxunk on the director 's part . xxmaj apparently , the director thought that the ethnic backdrop of a xxmaj latino family on the lower east side , and an xxunk storyline would make the film critic proof . xxmaj he was right , but it did n't fool me . xxmaj raising xxmaj victor xxmaj vargas isnegative
1xxbos xxup the xxup shop xxup around xxup the xxup corner is one of the xxunk and most feel - good romantic comedies ever made . xxmaj there 's just no getting around that , and it 's hard to actually put one 's feeling for this film into words . xxmaj it 's not one of those films that tries too hard , nor does it come up with the xxunk possible scenarios to get the two protagonists together in the end . xxmaj in fact , all its charm is xxunk , contained within the characters and the setting and the plot … which is highly believable to xxunk . xxmaj it 's easy to think that such a love story , as beautiful as any other ever told , * could * happen to you … a feeling you do n't often get from other romantic comediespositive
2xxbos xxmaj now that xxmaj che(2008 ) has finished its relatively short xxmaj australian cinema run ( extremely limited xxunk screen in xxmaj xxunk , after xxunk ) , i can xxunk join both xxunk of \" at xxmaj the xxmaj movies \" in taking xxmaj steven xxmaj soderbergh to task . \\n\\n xxmaj it 's usually satisfying to watch a film director change his style / subject , but xxmaj soderbergh 's most recent stinker , xxmaj the xxmaj girlfriend xxmaj xxunk ) , was also missing a story , so narrative ( and editing ? ) seem to suddenly be xxmaj soderbergh 's main challenge . xxmaj strange , after xxunk years in the business . xxmaj he was probably never much good at narrative , just xxunk it well inside \" edgy \" projects . \\n\\n xxmaj none of this excuses him this present , almost diabolicalnegative
" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CGVVizyHUuNo", + "colab_type": "text" + }, + "source": [ + "Let's make our model and load our encoder in" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "W_gnayM6UmxY", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn = text_classifier_learner(dls, AWD_LSTM, drop_mult=0.5, metrics=accuracy).to_fp16()\n", + "learn.load_encoder('fine_tuned_enc');" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "F3ABuFFT4-BG", + "colab_type": "code", + "outputId": "d02e72d5-bd67-4121-8baf-303c140871ec", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 267 + } + }, + "source": [ + "learn.fine_tune(5)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
epochtrain_lossvalid_lossaccuracytime
00.8201460.6394250.73000000:03
" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "display_data", + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
epochtrain_lossvalid_lossaccuracytime
00.5800100.5987230.71000000:07
10.5039130.4770570.82500000:07
20.4600180.4470980.80000000:08
30.4139710.3973460.84000000:07
40.3876780.4039050.83500000:07
" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "3d_eVKOZVeAJ", + "colab_type": "text" + }, + "source": [ + "If we train on the entire dataset, we can achieve ~94%. I'll show the code to do that below" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "Hvik_zQbVS3G", + "colab_type": "code", + "outputId": "f5bfc233-45b0-450a-9770-2d0243afb59d", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + } + }, + "source": [ + "learn.predict(\"I really loved that movie, it was awesome!\")" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "('positive', tensor(1), tensor([0.0270, 0.9730]))" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 317 + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "eZG-ekz_VmZS", + "colab_type": "text" + }, + "source": [ + "# Full Dataset\n", + "\n", + "* This should take you a few hours (3-5) to run. The language model training is the worst part\n", + "* In the end though, you should be able to get 94.3% accuracy" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "9Ujc-QQdVuX-", + "colab_type": "code", + "outputId": "93fbc7a3-ba9c-4e87-ac9d-6e36d1889be7", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 17 + } + }, + "source": [ + "path = untar_data(URLs.IMDB)" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/html": [ + "" + ], + "text/plain": [ + "" + ] + }, + "metadata": { + "tags": [] + } + } + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2d5vmRmKV3Et", + "colab_type": "text" + }, + "source": [ + "We're going to include any and all language available to help our model" + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "l2u3DQze57VK", + "colab_type": "code", + "outputId": "359bbfd5-86f0-4d2f-d7e9-2f91152ee608", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 54 + } + }, + "source": [ + "path.ls()" + ], + "execution_count": 0, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(#7) [Path('/root/.fastai/data/imdb/README'),Path('/root/.fastai/data/imdb/train'),Path('/root/.fastai/data/imdb/test'),Path('/root/.fastai/data/imdb/tmp_lm'),Path('/root/.fastai/data/imdb/imdb.vocab'),Path('/root/.fastai/data/imdb/unsup'),Path('/root/.fastai/data/imdb/tmp_clas')]" + ] + }, + "metadata": { + "tags": [] + }, + "execution_count": 4 + } + ] + }, + { + "cell_type": "code", + "metadata": { + "id": "ofKVtYAoVlgl", + "colab_type": "code", + "colab": {} + }, + "source": [ + "dls_lm = TextDataLoaders.from_folder(path, is_lm=True, valid_pct=0.1)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "87YicIsHWAfC", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn = language_model_learner(dls_lm, AWD_LSTM, drop_mult=0.3).to_fp16()" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "261mssSG8MoW", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn.fine_tune(10)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "flZcjnZeXkjO", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn.save_encoder('fine_tuned_enc')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "mhOhEpRrXoZl", + "colab_type": "code", + "colab": {} + }, + "source": [ + "dls_clas = TextDataLoaders.from_folder(untar_data(URLs.IMDB), valid='test', text_vocab=dls_lm.vocab)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "h8vhJueKXr0G", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn = text_classifier_learner(dls_clas, AWD_LSTM, drop_mult=0.5, metrics=accuracy)\n", + "learn.load_encoder('fine_tuned_enc')" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "bpuNZNILXuw4", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn.fit_one_cycle(1, 2e-2)" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "o-ClsUgcXwKv", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn.freeze_to(-2)\n", + "learn.fit_one_cycle(1, slice(1e-2/(2.6**4),1e-2))" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "ZYsqb7DrXx5s", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn.freeze_to(-3)\n", + "learn.fit_one_cycle(1, slice(5e-3/(2.6**4),5e-3))" + ], + "execution_count": 0, + "outputs": [] + }, + { + "cell_type": "code", + "metadata": { + "id": "l9qLlipyXyv2", + "colab_type": "code", + "colab": {} + }, + "source": [ + "learn.unfreeze()\n", + "learn.fit_one_cycle(2, slice(1e-3/(2.6**4),1e-3))" + ], + "execution_count": 0, + "outputs": [] + } + ] +} \ No newline at end of file diff --git a/fastinference/.ipynb_checkpoints/01_Intro-checkpoint.ipynb b/fastinference/.ipynb_checkpoints/01_Intro-checkpoint.ipynb new file mode 100644 index 0000000..7fec515 --- /dev/null +++ b/fastinference/.ipynb_checkpoints/01_Intro-checkpoint.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/fastinference/.ipynb_checkpoints/02 ONNX-checkpoint.ipynb b/fastinference/.ipynb_checkpoints/02 ONNX-checkpoint.ipynb new file mode 100644 index 0000000..b34a495 --- /dev/null +++ b/fastinference/.ipynb_checkpoints/02 ONNX-checkpoint.ipynb @@ -0,0 +1,255 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "!pip install git+https://github.com/muellerzr/fastinference.git --quiet" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ONNX\n", + "\n", + "Commonly code is run on ONNX, and trying to utilize `fastai` as best you can can be a challenge. The beneifits of ONNX is it uses C++ so it can be a faster runtime, and recently ONNX came out with `CUDA` support as well! How hard is it to integrate? Let's make a `tabular` problem again, this time importing `ONNX`:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Name: fastinference\r\n", + "Version: 0.0.13\r\n", + "Summary: A collection of inference modules\r\n", + "Home-page: https://github.com/muellerzr/fastinference/tree/master/\r\n", + "Author: Zachary Mueller\r\n", + "Author-email: muellerzr@gmail.com\r\n", + "License: Apache Software License 2.0\r\n", + "Location: /home/ml1/anaconda3/envs/fastai2/lib/python3.7/site-packages\r\n", + "Requires: onnxruntime-gpu, fastai2, shap\r\n", + "Required-by: \r\n" + ] + } + ], + "source": [ + "!pip show fastinference" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from fastai2.tabular.all import *\n", + "from fastinference.onnx import *" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "path = untar_data(URLs.ADULT_SAMPLE)\n", + "df = pd.read_csv(path/'adult.csv')\n", + "splits = RandomSplitter()(range_of(df))\n", + "cat_names = ['workclass', 'education', 'marital-status', 'occupation', 'relationship', 'race']\n", + "cont_names = ['age', 'fnlwgt', 'education-num']\n", + "procs = [Categorify, FillMissing, Normalize]\n", + "y_names = 'salary'" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "to = TabularPandas(df, procs=procs, cat_names=cat_names, cont_names=cont_names,\n", + " y_names=y_names, splits=splits)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "dls = to.dataloaders()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "learn = tabular_learner(dls, layers=[200,100])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "I've made a special `fastONNX` wrapper, which will take your `Learner` and export both your model and the `DataLoaders` so ONNX can use them via `learn.to_onnx()`" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "learn.to_onnx('tabular')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now let's load it in:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "onnx_learn = fastONNX('tabular')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What all can we do here? We can still do everything exactly the same minus one change: `predict`\n", + "\n", + "`predict` requires the raw inputs, so instead *always* build a `test_dl` and pass to `get_preds` (just made it simpler to code for me). Let's run a few examples also testing the times:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "single_dl = onnx_learn.test_dl(df.iloc[:1])" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3.46 ms ± 5.44 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "preds = onnx_learn.get_preds(dl=single_dl)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Wow! 3.46 ms even beats our previous `predict` with 25 ms! what is it's output?" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "name, preds = onnx_learn.get_preds(dl=single_dl)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(['<50k'], array([[[0.5036924, 0.4963076]]], dtype=float32))" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "name, preds" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Currently it doesn't support returning the raw inputs, I need to work on that some more" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.7" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": false, + "sideBar": true, + "skip_h1_title": true, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": true + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/fastinference/01_Intro.ipynb b/fastinference/01_Intro.ipynb new file mode 100644 index 0000000..1257fb0 --- /dev/null +++ b/fastinference/01_Intro.ipynb @@ -0,0 +1,992 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 01 - Introduction to `fastinference`" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What is `fastinference`?\n", + "\n", + " * Inference module for `fastai`\n", + " * Allows for faster inference, more verbose prediction methods, and some model interpretability modules\n", + " \n", + "What will this tutorial cover? (NB 01 - n):\n", + " * We'll be looking at *why* these speedups work\n", + " * What they really are\n", + " * Other modules that are also packed away in `fastinference` such as `fastshap` and `ClassConfusion` among a few others" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "!pip install fastai2 fastinference --quiet" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Tabular Example\n", + "\n", + "First let's look at a tabular example (via ADULT_SAMPLE)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "from fastai2.tabular.all import *" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "path = untar_data(URLs.ADULT_SAMPLE)\n", + "df = pd.read_csv(path/'adult.csv')\n", + "splits = RandomSplitter()(range_of(df))\n", + "cat_names = ['workclass', 'education', 'marital-status', 'occupation', 'relationship', 'race']\n", + "cont_names = ['age', 'fnlwgt', 'education-num']\n", + "procs = [Categorify, FillMissing, Normalize]\n", + "y_names = 'salary'" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "to = TabularPandas(df, procs=procs, cat_names=cat_names, cont_names=cont_names,\n", + " y_names=y_names, splits=splits)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "dls = to.dataloaders()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We'll build a quick learner then check the speed of 2 items:\n", + "\n", + "* `learn.predict()`\n", + "* `learn.get_preds()` on 100 rows" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "learn = tabular_learner(dls, layers=[200,100])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now for all the tests we will be having `CUDA` enabled:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 196 ms, sys: 83.9 ms, total: 280 ms\n", + "Wall time: 280 ms\n" + ] + } + ], + "source": [ + "%%time\n", + "out = learn.predict(df.iloc[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "test_dl = learn.dls.test_dl(df.iloc[:100])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 16.1 ms, sys: 5.26 ms, total: 21.4 ms\n", + "Wall time: 21.9 ms\n" + ] + } + ], + "source": [ + "%%time\n", + "out = learn.get_preds(dl=test_dl)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So as you can see, a bit of time. Now next we'll look at a *raw* `PyTorch` inference loop:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "cat, cont, y = next(iter(test_dl))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "520 µs ± 749 ns per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "learn.model.eval()\n", + "with torch.no_grad():\n", + " out = learn.model(cat, cont)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Woah! Wait hold on. That's a *half* a *millisecond*! Why? \n", + "\n", + "Well, we haven't quite done everything the same yet. `predict` gives us probabilities and the class label and whatnot. So, let's recreate this here:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "learn.model.eval()\n", + "with torch.no_grad():\n", + " out = learn.model(cat, cont)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we need to turn our probabilities into `argmax`'s, first applying a `softmax`. This comes from our `loss_func`'s `activation` and `decodes` methods:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[-0.0088, 0.0212],\n", + " [ 0.0103, 0.0407],\n", + " [-0.0072, 0.0120],\n", + " [-0.0084, 0.0354],\n", + " [-0.0128, 0.0131]], device='cuda:0')" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "out[:5]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([[0.4925, 0.5075],\n", + " [0.4924, 0.5076],\n", + " [0.4952, 0.5048],\n", + " [0.4890, 0.5110],\n", + " [0.4935, 0.5065]], device='cuda:0')" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "learn.loss_func.activation(out[:5])" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([1, 1, 1, 1, 1], device='cuda:0')" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "learn.loss_func.decodes(learn.loss_func.activation(out[:5]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Can we skip the `activation`? Since it's a softmax, yes we can if we just want the class:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "tensor([1, 1, 1, 1, 1], device='cuda:0')" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "learn.loss_func.decodes(out[:5])" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "( workclass education marital-status occupation relationship race \\\n", + " 0 5.0 8.0 3.0 0.0 6.0 5.0 \n", + " \n", + " education-num_na age fnlwgt education-num salary \n", + " 0 1.0 0.774021 -0.833759 0.753626 1.0 ,\n", + " tensor(1),\n", + " tensor([0.4925, 0.5075]))" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "learn.predict(df.iloc[0])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now let's time our new `predict` pipeline:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "553 µs ± 1.76 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "learn.model.eval()\n", + "with torch.no_grad():\n", + " out = learn.model(cat, cont)\n", + "raw_probs = learn.loss_func.activation(out)\n", + "classes = learn.loss_func.decodes(raw_probs)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We're still in `microseconds`. Why? How is it so much longer? The `Callback` system is the right answer. This is why I made `fastinference`. Let's import `fastinference` and see what it gives me:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "from fastinference.inference import *" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "25.4 ms ± 35.6 µs per loop (mean ± std. dev. of 7 runs, 10 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "out = learn.predict(df.iloc[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "14.6 ms ± 14 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "dl = learn.dls.test_dl(df.iloc[:1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So 10 milliseconds comes from building our `test_dl`, and we were able to cut our inference by 1/2 with `learn.predict`. What about `get_preds`" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "8.78 ms ± 14.5 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "preds = learn.get_preds(dl=test_dl)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Also by almost half! But what else is different about these methods? Let's compare source code:" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "# fastai\n", + "def get_preds(self, ds_idx=1, dl=None, with_input=False, with_decoded=False, with_loss=False, act=None,\n", + " inner=False, reorder=True, **kwargs):\n", + " if dl is None: dl = self.dls[ds_idx].new(shuffled=False, drop_last=False)\n", + " if reorder and hasattr(dl, 'get_idxs'):\n", + " idxs = dl.get_idxs()\n", + " dl = dl.new(get_idxs = _ConstantFunc(idxs))\n", + " cb = GatherPredsCallback(with_input=with_input, with_loss=with_loss, **kwargs)\n", + " ctx_mgrs = [self.no_logging(), self.added_cbs(cb), self.no_mbar()]\n", + " if with_loss: ctx_mgrs.append(self.loss_not_reduced())\n", + " with ExitStack() as stack:\n", + " for mgr in ctx_mgrs: stack.enter_context(mgr)\n", + " self(event.begin_epoch if inner else _before_epoch)\n", + " self._do_epoch_validate(dl=dl)\n", + " self(event.after_epoch if inner else _after_epoch)\n", + " if act is None: act = getattr(self.loss_func, 'activation', noop)\n", + " res = cb.all_tensors()\n", + " pred_i = 1 if with_input else 0\n", + " if res[pred_i] is not None:\n", + " res[pred_i] = act(res[pred_i])\n", + " if with_decoded: res.insert(pred_i+2, getattr(self.loss_func, 'decodes', noop)(res[pred_i]))\n", + " if reorder and hasattr(dl, 'get_idxs'): res = nested_reorder(res, tensor(idxs).argsort())\n", + " return tuple(res)\n", + " self._end_cleanup()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks pretty sophistcated. Why? It relies on the `Callback` system and `Schedulers`. What does mine do?" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "# mine\n", + "@patch\n", + "def get_preds(x:Learner, ds_idx=1, dl=None, raw_outs=False, decoded_loss=True, fully_decoded=False,\n", + " **kwargs):\n", + " \"Get predictions with possible decoding\"\n", + " inps, outs, dec_out, raw = [], [], [], []\n", + " if dl is None: dl = x.dls[ds_idx].new(shuffle=False, drop_last=False)\n", + " is_multi=False\n", + " if x.dls.n_inp > 1:\n", + " is_multi=True\n", + " [inps.append([]) for _ in range(x.dls.n_inp)]\n", + " x.model.eval()\n", + " for batch in dl:\n", + " with torch.no_grad():\n", + " if is_multi:\n", + " for i in range(x.dls.n_inp):\n", + " inps[i].append(batch[i])\n", + " else:\n", + " inps.append(batch[:x.dls.n_inp])\n", + " if decoded_loss or fully_decoded:\n", + " out = x.model(*batch[:x.dls.n_inp])\n", + " raw.append(out)\n", + " dec_out.append(x.loss_func.decodes(out))\n", + " else:\n", + " raw.append(x.model(*batch[:x.dls.n_inp]))\n", + " raw = torch.cat(raw, dim=0).cpu().numpy()\n", + " if fully_decoded or decoded_loss:\n", + " dec_out = torch.cat(dec_out, dim=0)\n", + " if not raw_outs:\n", + " try: outs.insert(0, x.loss_func.activation(tensor(raw)).numpy())\n", + " except: outs.insert(0, dec_out)\n", + " else:\n", + " outs.insert(0, raw)\n", + " if fully_decoded: outs = _fully_decode(x.dls, inps, outs, dec_out, is_multi)\n", + " if decoded_loss: outs = _decode_loss(x.dls.vocab, dec_out, outs)\n", + " return outs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Not so complicated now, is it? Let's do one more time, setting everything to `False` except `raw`:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "7.52 ms ± 76.6 µs per loop (mean ± std. dev. of 7 runs, 1 loop each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "_ = learn.get_preds(dl=test_dl, raw_outs=True, decoded_loss=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Great! So now let's take a look inside `get_preds` and `predict`, specifically what they output:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "name, preds, inp = learn.predict(df.iloc[0], with_input=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(['>=50k'], array([[0.46804622, 0.5319538 ]], dtype=float32))" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "name, preds" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
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" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inp.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So as you can see we get the class name (no longer just the class index), the probabilities, and the actual input (if `with_input=True`). What about `get_preds`?" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "name, preds = learn.get_preds(dl=test_dl)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(['>=50k', '>=50k', '>=50k'],\n", + " array([[0.46804622, 0.5319538 ],\n", + " [0.4700674 , 0.52993256],\n", + " [0.4769747 , 0.5230253 ]], dtype=float32))" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "name[:3], preds[:3]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Same thing, however we have a bit more parameters:" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "def get_preds(x:Learner, ds_idx=1, dl=None, raw_outs=False, decoded_loss=True, fully_decoded=False,\n", + " **kwargs):" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So what all does this mean? `raw_outs` applies our `softmax` or not, `decoded_loss` does our `argmax`, and `fully_decoded` returns our inputs:" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [], + "source": [ + "name, preds = learn.get_preds(dl=test_dl, raw_outs=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(['>=50k', '>=50k', '>=50k'],\n", + " array([[-0.08579029, 0.04219937],\n", + " [-0.05968028, 0.06019334],\n", + " [-0.0669051 , 0.02526121]], dtype=float32))" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "name[:3], preds[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "preds = learn.get_preds(dl=test_dl, decoded_loss=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[0.46804622, 0.5319538 ],\n", + " [0.4700674 , 0.52993256],\n", + " [0.4769747 , 0.5230253 ]], dtype=float32)" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "preds[0][:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "name, preds, inp = learn.get_preds(dl=test_dl, decoded_loss=True, fully_decoded=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(['>=50k', '>=50k', '>=50k'],\n", + " array([[0.46804622, 0.5319538 ],\n", + " [0.4700674 , 0.52993256],\n", + " [0.4769747 , 0.5230253 ]], dtype=float32))" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "name[:3], preds[:3]" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " workclass education marital-status occupation relationship race \\\n", + "0 5.0 8.0 3.0 0.0 6.0 5.0 \n", + "1 5.0 13.0 1.0 5.0 2.0 5.0 \n", + "2 5.0 12.0 1.0 0.0 5.0 3.0 \n", + "\n", + " education-num_na age fnlwgt education-num salary \n", + "0 1.0 0.758773 -0.840070 0.755614 1.0 \n", + "1 1.0 0.392702 0.444001 1.540485 1.0 \n", + "2 2.0 -0.046583 -0.888759 -0.029257 1.0 " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "inp[:3]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This will also work for any other application in the `fastai` library, int eh same" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.7" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": false, + "sideBar": true, + "skip_h1_title": true, + "title_cell": "Table of Contents", + "title_sidebar": "Contents", + "toc_cell": false, + "toc_position": {}, + "toc_section_display": true, + "toc_window_display": true + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/fastinference/02 ONNX.ipynb b/fastinference/02 ONNX.ipynb new file mode 100644 index 0000000..b34a495 --- /dev/null +++ b/fastinference/02 ONNX.ipynb @@ -0,0 +1,255 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "!pip install git+https://github.com/muellerzr/fastinference.git --quiet" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ONNX\n", + "\n", + "Commonly code is run on ONNX, and trying to utilize `fastai` as best you can can be a challenge. The beneifits of ONNX is it uses C++ so it can be a faster runtime, and recently ONNX came out with `CUDA` support as well! How hard is it to integrate? Let's make a `tabular` problem again, this time importing `ONNX`:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Name: fastinference\r\n", + "Version: 0.0.13\r\n", + "Summary: A collection of inference modules\r\n", + "Home-page: https://github.com/muellerzr/fastinference/tree/master/\r\n", + "Author: Zachary Mueller\r\n", + "Author-email: muellerzr@gmail.com\r\n", + "License: Apache Software License 2.0\r\n", + "Location: /home/ml1/anaconda3/envs/fastai2/lib/python3.7/site-packages\r\n", + "Requires: onnxruntime-gpu, fastai2, shap\r\n", + "Required-by: \r\n" + ] + } + ], + "source": [ + "!pip show fastinference" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "from fastai2.tabular.all import *\n", + "from fastinference.onnx import *" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "path = untar_data(URLs.ADULT_SAMPLE)\n", + "df = pd.read_csv(path/'adult.csv')\n", + "splits = RandomSplitter()(range_of(df))\n", + "cat_names = ['workclass', 'education', 'marital-status', 'occupation', 'relationship', 'race']\n", + "cont_names = ['age', 'fnlwgt', 'education-num']\n", + "procs = [Categorify, FillMissing, Normalize]\n", + "y_names = 'salary'" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "to = TabularPandas(df, procs=procs, cat_names=cat_names, cont_names=cont_names,\n", + " y_names=y_names, splits=splits)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "dls = to.dataloaders()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "learn = tabular_learner(dls, layers=[200,100])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "I've made a special `fastONNX` wrapper, which will take your `Learner` and export both your model and the `DataLoaders` so ONNX can use them via `learn.to_onnx()`" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "learn.to_onnx('tabular')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now let's load it in:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "onnx_learn = fastONNX('tabular')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "What all can we do here? We can still do everything exactly the same minus one change: `predict`\n", + "\n", + "`predict` requires the raw inputs, so instead *always* build a `test_dl` and pass to `get_preds` (just made it simpler to code for me). Let's run a few examples also testing the times:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "single_dl = onnx_learn.test_dl(df.iloc[:1])" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3.46 ms ± 5.44 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n" + ] + } + ], + "source": [ + "%%timeit\n", + "preds = onnx_learn.get_preds(dl=single_dl)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Wow! 3.46 ms even beats our previous `predict` with 25 ms! what is it's output?" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "name, preds = onnx_learn.get_preds(dl=single_dl)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(['<50k'], array([[[0.5036924, 0.4963076]]], dtype=float32))" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "name, preds" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Currently it doesn't support returning the raw inputs, I need to work on that some more" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.7" + }, + "toc": { + "base_numbering": 1, + "nav_menu": {}, + "number_sections": false, + "sideBar": true, + "skip_h1_title": true, + "title_cell": "Table of Contents", + 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