update readme (#6)

docker/Dockerfile

@@ -49,7 +49,7 @@ RUN cd pytorch3d && pip install -e . && \
     pip cache purge
 
 # Install tcnn
-RUN git clone --recurse-submodules https://github.com/NVlabs/tiny-cuda-nn.git
+RUN git clone --recursive https://github.com/nvlabs/tiny-cuda-nn
 RUN cd tiny-cuda-nn/bindings/torch
 RUN python setup.py install
 

docs/en/installation.md

@@ -114,7 +114,7 @@ conda activate xrnerf
 
 * Install ```tcnn``` using 
     ```shell
-    git clone --recurse-submodules https://gitclone.com/github.com/NVlabs/tiny-cuda-nn.git
+    git clone --recursive https://github.com/nvlabs/tiny-cuda-nn
     cd tiny-cuda-nn/bindings/torch
     python setup.py install
     ```

docs/zh_cn/installation.md

@@ -111,7 +111,7 @@ conda activate xrnerf
 
 * 通过以下命令，安装 ```tcnn```
     ```shell
-    git clone --recurse-submodules https://gitclone.com/github.com/NVlabs/tiny-cuda-nn.git
+    git clone --recursive https://github.com/nvlabs/tiny-cuda-nn
     cd tiny-cuda-nn/bindings/torch
     python setup.py install
     ```

xrnerf/models/networks/nerf.py

@@ -108,9 +108,6 @@ def val_step(self, data, optimizer=None, **kwargs):
             for i in tqdm(range(poses.shape[0])):
                 start = time.time()
                 data = self.val_pipeline({'pose': poses[i]})
-                for k in data:
-                    print(k, data[k].shape)
-                exit(0)
                 ret = self.batchify_forward(
                     data, is_test=True)  # 测试时 raw_noise_std=False
                 end = time.time()