diff --git a/demo/MMSegmentation_Tutorial.ipynb b/demo/MMSegmentation_Tutorial.ipynb index bc758c1f3..9f01a618f 100644 --- a/demo/MMSegmentation_Tutorial.ipynb +++ b/demo/MMSegmentation_Tutorial.ipynb @@ -33,7 +33,7 @@ "## Install MMSegmentation\n", "This step may take several minutes. \n", "\n", - "We use PyTorch 1.12 and CUDA 11.3 installed in Colab for this tutorial. You may install other versions by change the version number in pip install command. " + "We use PyTorch 1.12 and CUDA 11.3 for this tutorial. You may install other versions by change the version number in pip install command. " ] }, { @@ -49,13 +49,9 @@ "outputs": [], "source": [ "# Check nvcc version\n", - "import torch\n", - "import torchvision\n", "!nvcc -V\n", "# Check GCC version\n", - "!gcc - -version\n", - "# Check Pytorch installation\n", - "print(torch.__version__, torch.cuda.is_available())" + "!gcc --version" ] }, { @@ -70,12 +66,14 @@ }, "outputs": [], "source": [ + "# Install PyTorch\n", + "conda install pytorch == 1.12.0 torchvision == 0.13.0 torchaudio == 0.12.0 cudatoolkit = 11.3 - c pytorch\n", "# Install mim\n", "!pip install -U openmim\n", "# Install mmengine\n", "!mim install mmengine\n", "# Install MMCV\n", - "!mim install 'mmcv >= 2.0.0rc1'" + "!mim install 'mmcv >= 2.0.0rc1'\n" ] }, { @@ -108,6 +106,10 @@ }, "outputs": [], "source": [ + "# Check Pytorch installation\n", + "import torch, torchvision\n", + "print(torch.__version__, torch.cuda.is_available())\n", + "\n", "# Check MMSegmentation installation\n", "import mmseg\n", "print(mmseg.__version__)" @@ -521,7 +523,7 @@ "provenance": [] }, "kernelspec": { - "display_name": "Python 3.7.13 ('pt1.12')", + "display_name": "Python 3.8.5 ('tensorflow')", "language": "python", "name": "python3" }, @@ -535,7 +537,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.13" + "version": "3.8.5" }, "pycharm": { "stem_cell": { @@ -548,7 +550,7 @@ }, "vscode": { "interpreter": { - "hash": "ffdb7915c29738c259ec7ee5d0d1b9253c264f1fd267d45dd77f1a420396c120" + "hash": "20d4b83e0c8b3730b580c42434163d64f4b735d580303a8fade7c849d4d29eba" } } },