StyleGAN2_activations.ipynb

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  "metadata": {
    "colab": {
      "name": "StyleGAN2-activations.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "qSGDBp0UWv9I"
      ],
      "authorship_tag": "ABX9TyOKtvo5H7oV52/piHCfb/Yk",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/duskvirkus/colab-notebooks/blob/main/StyleGAN2_activations.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sf8mqELxWhof"
      },
      "source": [
        "## StyleGAN2 Activations\n",
        "\n",
        "Notebook that generates activations of a StyleGAN2 rosinality model.\n",
        "\n",
        "Convert pkl model: https://github.com/dvschultz/stylegan2-ada-pytorch/blob/main/SG2_ADA_PT_to_Rosinality.ipynb\n",
        "\n",
        "Thanks to [Derrick Schultz](https://github.com/dvschultz) for the notebook this is based on. Can be found at: [https://github.com/dvschultz/stylegan2-ada-pytorch/blob/eps/Advanced_StyleGAN_Network_bending.ipynb](https://github.com/dvschultz/stylegan2-ada-pytorch/blob/eps/Advanced_StyleGAN_Network_bending.ipynb)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WRxEoqBiWt0y"
      },
      "source": [
        "## Prep"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bTSFDE-nWJKT",
        "outputId": "c74ec641-7c4d-46b5-8393-60e427649911"
      },
      "source": [
        "!nvidia-smi -L"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "GPU 0: Tesla P100-PCIE-16GB (UUID: GPU-a46fdea8-1bad-ac1e-17ea-63ace40870d9)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GDveKZKyWOhu",
        "outputId": "09a2b911-f426-4117-d03f-8378752ed2e9"
      },
      "source": [
        "# Install libraries\n",
        "!git clone -b audio-animate https://github.com/dvschultz/network-bending\n",
        "!pip uninstall torch torchvision -y\n",
        "!pip install torch==1.5.0+cu101 torchvision==0.6.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html\n",
        "!pip install Ninja kmeans-pytorch\n",
        "!apt-get install -y vim make gdb libopencv-dev\n",
        "!wget https://download.pytorch.org/libtorch/cu101/libtorch-shared-with-deps-1.5.0%2Bcu101.zip\n",
        "!unzip /content/libtorch-shared-with-deps-1.5.0+cu101.zip -d /root/\n",
        "%cd network-bending\n",
        "\n",
        "#build custom pytorch transformations\n",
        "!chmod +x /content/network-bending/build_custom_transforms.sh\n",
        "!/content/network-bending/build_custom_transforms.sh /root/libtorch/"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'network-bending'...\n",
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            "remote: Total 369 (delta 22), reused 21 (delta 9), pack-reused 332\u001b[K\n",
            "Receiving objects: 100% (369/369), 21.44 MiB | 32.91 MiB/s, done.\n",
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            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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            "Successfully installed torch-1.5.0+cu101 torchvision-0.6.0+cu101\n",
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            " extracting: /root/libtorch/include/ATen/core/Scalar.h  \n",
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            " extracting: /root/libtorch/include/ATen/core/ScalarType.h  \n",
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            " extracting: /root/libtorch/include/ATen/core/typeid.h  \n",
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            "   creating: /root/libtorch/include/ATen/native/quantized/cpu/\n",
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            "   creating: /root/libtorch/include/ATen/cudnn/\n",
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            " extracting: /root/libtorch/include/ATen/cudnn/Exceptions.h  \n",
            " extracting: /root/libtorch/include/ATen/cudnn/Handles.h  \n",
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            "   creating: /root/libtorch/include/ATen/cpu/\n",
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            " extracting: /root/libtorch/include/ATen/Backtrace.h  \n",
            " extracting: /root/libtorch/include/ATen/Storage.h  \n",
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            " extracting: /root/libtorch/include/ATen/NamedTensor.h  \n",
            " extracting: /root/libtorch/include/ATen/Scalar.h  \n",
            " extracting: /root/libtorch/include/ATen/Dimname.h  \n",
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            " extracting: /root/libtorch/include/ATen/Device.h  \n",
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            " extracting: /root/libtorch/include/ATen/Generator.h  \n",
            " extracting: /root/libtorch/include/ATen/SmallVector.h  \n",
            "   creating: /root/libtorch/include/torch/\n",
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            "   creating: /root/libtorch/include/torch/csrc/onnx/\n",
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            "   creating: /root/libtorch/include/torch/csrc/api/\n",
            "   creating: /root/libtorch/include/torch/csrc/api/include/\n",
            "   creating: /root/libtorch/include/torch/csrc/api/include/torch/\n",
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            "   creating: /root/libtorch/include/torch/csrc/api/include/torch/nn/\n",
            "   creating: /root/libtorch/include/torch/csrc/api/include/torch/nn/modules/\n",
            "  inflating: /root/libtorch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h  \n",
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            "  inflating: /root/libtorch/include/torch/csrc/api/include/torch/nn/modules/normalization.h  \n",
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            "   creating: /root/libtorch/include/torch/csrc/api/include/torch/nn/modules/container/\n",
            "  inflating: /root/libtorch/include/torch/csrc/api/include/torch/nn/modules/container/named_any.h  \n",
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            "  inflating: /root/libtorch/lib/libgmock_main.a  \n",
            "  inflating: /root/libtorch/lib/libcaffe2_nvrtc.so  \n",
            "  inflating: /root/libtorch/lib/libbenchmark_main.a  \n",
            "  inflating: /root/libtorch/lib/libgloo_cuda.a  \n",
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            "  inflating: /root/libtorch/lib/libc10_cuda.so  \n",
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            "  inflating: /root/libtorch/lib/libgmock.a  \n",
            "  inflating: /root/libtorch/lib/libonnx.a  \n",
            "  inflating: /root/libtorch/lib/libcaffe2_observers.so  \n",
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            "  inflating: /root/libtorch/lib/libpthreadpool.a  \n",
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            "  inflating: /root/libtorch/lib/libcaffe2_protos.a  \n",
            "/content/network-bending\n",
            "/root/libtorch/\n",
            "-- The C compiler identification is GNU 7.5.0\n",
            "-- The CXX compiler identification is GNU 7.5.0\n",
            "-- Check for working C compiler: /usr/bin/cc\n",
            "-- Check for working C compiler: /usr/bin/cc -- works\n",
            "-- Detecting C compiler ABI info\n",
            "-- Detecting C compiler ABI info - done\n",
            "-- Detecting C compile features\n",
            "-- Detecting C compile features - done\n",
            "-- Check for working CXX compiler: /usr/bin/c++\n",
            "-- Check for working CXX compiler: /usr/bin/c++ -- works\n",
            "-- Detecting CXX compiler ABI info\n",
            "-- Detecting CXX compiler ABI info - done\n",
            "-- Detecting CXX compile features\n",
            "-- Detecting CXX compile features - done\n",
            "-- Looking for pthread.h\n",
            "-- Looking for pthread.h - found\n",
            "-- Looking for pthread_create\n",
            "-- Looking for pthread_create - not found\n",
            "-- Looking for pthread_create in pthreads\n",
            "-- Looking for pthread_create in pthreads - not found\n",
            "-- Looking for pthread_create in pthread\n",
            "-- Looking for pthread_create in pthread - found\n",
            "-- Found Threads: TRUE  \n",
            "-- Found CUDA: /usr/local/cuda (found version \"11.0\") \n",
            "-- Caffe2: CUDA detected: 11.0\n",
            "-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc\n",
            "-- Caffe2: CUDA toolkit directory: /usr/local/cuda\n",
            "-- Caffe2: Header version is: 11.0\n",
            "-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so  \n",
            "-- Found cuDNN: v7.6.5  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)\n",
            "-- Autodetected CUDA architecture(s):  6.0\n",
            "-- Added CUDA NVCC flags for: -gencode;arch=compute_60,code=sm_60\n",
            "-- Found torch: /root/libtorch/lib/libtorch.so  \n",
            "-- Found OpenCV: /usr (found version \"3.2.0\") \n",
            "-- Configuring done\n",
            "-- Generating done\n",
            "-- Build files have been written to: /content/network-bending/transforms/dilate/build\n",
            "\u001b[35m\u001b[1mScanning dependencies of target dilate\u001b[0m\n",
            "[ 50%] \u001b[32mBuilding CXX object CMakeFiles/dilate.dir/op.cpp.o\u001b[0m\n",
            "[100%] \u001b[32m\u001b[1mLinking CXX shared library libdilate.so\u001b[0m\n",
            "[100%] Built target dilate\n",
            "-- The C compiler identification is GNU 7.5.0\n",
            "-- The CXX compiler identification is GNU 7.5.0\n",
            "-- Check for working C compiler: /usr/bin/cc\n",
            "-- Check for working C compiler: /usr/bin/cc -- works\n",
            "-- Detecting C compiler ABI info\n",
            "-- Detecting C compiler ABI info - done\n",
            "-- Detecting C compile features\n",
            "-- Detecting C compile features - done\n",
            "-- Check for working CXX compiler: /usr/bin/c++\n",
            "-- Check for working CXX compiler: /usr/bin/c++ -- works\n",
            "-- Detecting CXX compiler ABI info\n",
            "-- Detecting CXX compiler ABI info - done\n",
            "-- Detecting CXX compile features\n",
            "-- Detecting CXX compile features - done\n",
            "-- Looking for pthread.h\n",
            "-- Looking for pthread.h - found\n",
            "-- Looking for pthread_create\n",
            "-- Looking for pthread_create - not found\n",
            "-- Looking for pthread_create in pthreads\n",
            "-- Looking for pthread_create in pthreads - not found\n",
            "-- Looking for pthread_create in pthread\n",
            "-- Looking for pthread_create in pthread - found\n",
            "-- Found Threads: TRUE  \n",
            "-- Found CUDA: /usr/local/cuda (found version \"11.0\") \n",
            "-- Caffe2: CUDA detected: 11.0\n",
            "-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc\n",
            "-- Caffe2: CUDA toolkit directory: /usr/local/cuda\n",
            "-- Caffe2: Header version is: 11.0\n",
            "-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so  \n",
            "-- Found cuDNN: v7.6.5  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)\n",
            "-- Autodetected CUDA architecture(s):  6.0\n",
            "-- Added CUDA NVCC flags for: -gencode;arch=compute_60,code=sm_60\n",
            "-- Found torch: /root/libtorch/lib/libtorch.so  \n",
            "-- Found OpenCV: /usr (found version \"3.2.0\") \n",
            "-- Configuring done\n",
            "-- Generating done\n",
            "-- Build files have been written to: /content/network-bending/transforms/erode/build\n",
            "\u001b[35m\u001b[1mScanning dependencies of target erode\u001b[0m\n",
            "[ 50%] \u001b[32mBuilding CXX object CMakeFiles/erode.dir/op.cpp.o\u001b[0m\n",
            "[100%] \u001b[32m\u001b[1mLinking CXX shared library liberode.so\u001b[0m\n",
            "[100%] Built target erode\n",
            "-- The C compiler identification is GNU 7.5.0\n",
            "-- The CXX compiler identification is GNU 7.5.0\n",
            "-- Check for working C compiler: /usr/bin/cc\n",
            "-- Check for working C compiler: /usr/bin/cc -- works\n",
            "-- Detecting C compiler ABI info\n",
            "-- Detecting C compiler ABI info - done\n",
            "-- Detecting C compile features\n",
            "-- Detecting C compile features - done\n",
            "-- Check for working CXX compiler: /usr/bin/c++\n",
            "-- Check for working CXX compiler: /usr/bin/c++ -- works\n",
            "-- Detecting CXX compiler ABI info\n",
            "-- Detecting CXX compiler ABI info - done\n",
            "-- Detecting CXX compile features\n",
            "-- Detecting CXX compile features - done\n",
            "-- Looking for pthread.h\n",
            "-- Looking for pthread.h - found\n",
            "-- Looking for pthread_create\n",
            "-- Looking for pthread_create - not found\n",
            "-- Looking for pthread_create in pthreads\n",
            "-- Looking for pthread_create in pthreads - not found\n",
            "-- Looking for pthread_create in pthread\n",
            "-- Looking for pthread_create in pthread - found\n",
            "-- Found Threads: TRUE  \n",
            "-- Found CUDA: /usr/local/cuda (found version \"11.0\") \n",
            "-- Caffe2: CUDA detected: 11.0\n",
            "-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc\n",
            "-- Caffe2: CUDA toolkit directory: /usr/local/cuda\n",
            "-- Caffe2: Header version is: 11.0\n",
            "-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so  \n",
            "-- Found cuDNN: v7.6.5  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)\n",
            "-- Autodetected CUDA architecture(s):  6.0\n",
            "-- Added CUDA NVCC flags for: -gencode;arch=compute_60,code=sm_60\n",
            "-- Found torch: /root/libtorch/lib/libtorch.so  \n",
            "-- Found OpenCV: /usr (found version \"3.2.0\") \n",
            "-- Configuring done\n",
            "-- Generating done\n",
            "-- Build files have been written to: /content/network-bending/transforms/rotate/build\n",
            "\u001b[35m\u001b[1mScanning dependencies of target rotate\u001b[0m\n",
            "[ 50%] \u001b[32mBuilding CXX object CMakeFiles/rotate.dir/op.cpp.o\u001b[0m\n",
            "[100%] \u001b[32m\u001b[1mLinking CXX shared library librotate.so\u001b[0m\n",
            "[100%] Built target rotate\n",
            "-- The C compiler identification is GNU 7.5.0\n",
            "-- The CXX compiler identification is GNU 7.5.0\n",
            "-- Check for working C compiler: /usr/bin/cc\n",
            "-- Check for working C compiler: /usr/bin/cc -- works\n",
            "-- Detecting C compiler ABI info\n",
            "-- Detecting C compiler ABI info - done\n",
            "-- Detecting C compile features\n",
            "-- Detecting C compile features - done\n",
            "-- Check for working CXX compiler: /usr/bin/c++\n",
            "-- Check for working CXX compiler: /usr/bin/c++ -- works\n",
            "-- Detecting CXX compiler ABI info\n",
            "-- Detecting CXX compiler ABI info - done\n",
            "-- Detecting CXX compile features\n",
            "-- Detecting CXX compile features - done\n",
            "-- Looking for pthread.h\n",
            "-- Looking for pthread.h - found\n",
            "-- Looking for pthread_create\n",
            "-- Looking for pthread_create - not found\n",
            "-- Looking for pthread_create in pthreads\n",
            "-- Looking for pthread_create in pthreads - not found\n",
            "-- Looking for pthread_create in pthread\n",
            "-- Looking for pthread_create in pthread - found\n",
            "-- Found Threads: TRUE  \n",
            "-- Found CUDA: /usr/local/cuda (found version \"11.0\") \n",
            "-- Caffe2: CUDA detected: 11.0\n",
            "-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc\n",
            "-- Caffe2: CUDA toolkit directory: /usr/local/cuda\n",
            "-- Caffe2: Header version is: 11.0\n",
            "-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so  \n",
            "-- Found cuDNN: v7.6.5  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)\n",
            "-- Autodetected CUDA architecture(s):  6.0\n",
            "-- Added CUDA NVCC flags for: -gencode;arch=compute_60,code=sm_60\n",
            "-- Found torch: /root/libtorch/lib/libtorch.so  \n",
            "-- Found OpenCV: /usr (found version \"3.2.0\") \n",
            "-- Configuring done\n",
            "-- Generating done\n",
            "-- Build files have been written to: /content/network-bending/transforms/scale/build\n",
            "\u001b[35m\u001b[1mScanning dependencies of target scale\u001b[0m\n",
            "[ 50%] \u001b[32mBuilding CXX object CMakeFiles/scale.dir/op.cpp.o\u001b[0m\n",
            "[100%] \u001b[32m\u001b[1mLinking CXX shared library libscale.so\u001b[0m\n",
            "[100%] Built target scale\n",
            "-- The C compiler identification is GNU 7.5.0\n",
            "-- The CXX compiler identification is GNU 7.5.0\n",
            "-- Check for working C compiler: /usr/bin/cc\n",
            "-- Check for working C compiler: /usr/bin/cc -- works\n",
            "-- Detecting C compiler ABI info\n",
            "-- Detecting C compiler ABI info - done\n",
            "-- Detecting C compile features\n",
            "-- Detecting C compile features - done\n",
            "-- Check for working CXX compiler: /usr/bin/c++\n",
            "-- Check for working CXX compiler: /usr/bin/c++ -- works\n",
            "-- Detecting CXX compiler ABI info\n",
            "-- Detecting CXX compiler ABI info - done\n",
            "-- Detecting CXX compile features\n",
            "-- Detecting CXX compile features - done\n",
            "-- Looking for pthread.h\n",
            "-- Looking for pthread.h - found\n",
            "-- Looking for pthread_create\n",
            "-- Looking for pthread_create - not found\n",
            "-- Looking for pthread_create in pthreads\n",
            "-- Looking for pthread_create in pthreads - not found\n",
            "-- Looking for pthread_create in pthread\n",
            "-- Looking for pthread_create in pthread - found\n",
            "-- Found Threads: TRUE  \n",
            "-- Found CUDA: /usr/local/cuda (found version \"11.0\") \n",
            "-- Caffe2: CUDA detected: 11.0\n",
            "-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc\n",
            "-- Caffe2: CUDA toolkit directory: /usr/local/cuda\n",
            "-- Caffe2: Header version is: 11.0\n",
            "-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so  \n",
            "-- Found cuDNN: v7.6.5  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)\n",
            "-- Autodetected CUDA architecture(s):  6.0\n",
            "-- Added CUDA NVCC flags for: -gencode;arch=compute_60,code=sm_60\n",
            "-- Found torch: /root/libtorch/lib/libtorch.so  \n",
            "-- Found OpenCV: /usr (found version \"3.2.0\") \n",
            "-- Configuring done\n",
            "-- Generating done\n",
            "-- Build files have been written to: /content/network-bending/transforms/translate/build\n",
            "\u001b[35m\u001b[1mScanning dependencies of target translate\u001b[0m\n",
            "[ 50%] \u001b[32mBuilding CXX object CMakeFiles/translate.dir/op.cpp.o\u001b[0m\n",
            "[100%] \u001b[32m\u001b[1mLinking CXX shared library libtranslate.so\u001b[0m\n",
            "[100%] Built target translate\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z37P_GjrZwFr",
        "outputId": "4d9bf111-d1e3-41a0-fc94-6584195695bf"
      },
      "source": [
        "!gdown --id 1rL-J63eFfn80IYU2GfVY977GI2qOG6dw -O /content/ladiesblack.pt # Model Credit: Derrick Schultz"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1rL-J63eFfn80IYU2GfVY977GI2qOG6dw\n",
            "To: /content/ladiesblack.pt\n",
            "133MB [00:01, 105MB/s] \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qSGDBp0UWv9I"
      },
      "source": [
        "## Fix existing script"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IuIqWxbWV2ub",
        "outputId": "ff95871c-0d44-4a23-c08c-fbc48d808425"
      },
      "source": [
        "%%writefile generate_activations.py\n",
        "\n",
        "import argparse\n",
        "import torch\n",
        "import yaml\n",
        "import os\n",
        "import copy\n",
        "\n",
        "from torchvision import utils\n",
        "from model import Generator\n",
        "from tqdm import tqdm\n",
        "from util import *\n",
        "\n",
        "def generate(args, g_ema, device, mean_latent, t_dict_list):\n",
        "    with torch.no_grad():\n",
        "        g_ema.eval()\n",
        "        for i in tqdm(range(args.pics)):\n",
        "            extra_t_dict_list =  copy.deepcopy(t_dict_list)\n",
        "            extra_t_dict_list.append({'layerID': -1, 'index': i})\n",
        "            sample_z = torch.randn(args.sample, args.latent, device=device)\n",
        "            sample, _ = g_ema([sample_z], \n",
        "                                truncation=args.truncation, \n",
        "                                truncation_latent=mean_latent, \n",
        "                                transform_dict_list=extra_t_dict_list)\n",
        "            if not os.path.exists('sample'):\n",
        "                    os.makedirs('sample')\n",
        "            utils.save_image(\n",
        "                sample,\n",
        "                f'sample/{str(i).zfill(6)}.png',\n",
        "                nrow=1,\n",
        "                normalize=True,\n",
        "                range=(-1, 1))\n",
        "\n",
        "\n",
        "if __name__ == '__main__':\n",
        "    device = 'cuda'\n",
        "\n",
        "    parser = argparse.ArgumentParser()\n",
        "\n",
        "    parser.add_argument('--size', type=int, default=1024)\n",
        "    parser.add_argument('--sample', type=int, default=1)\n",
        "    parser.add_argument('--pics', type=int, default=20)\n",
        "    parser.add_argument('--truncation', type=float, default=0.5)\n",
        "    parser.add_argument('--truncation_mean', type=int, default=4096)\n",
        "    parser.add_argument('--ckpt', type=str, default=\"stylegan2-ffhq-config-f.pt\")\n",
        "    parser.add_argument('--channel_multiplier', type=int, default=2)\n",
        "    parser.add_argument('--config', type=str, default=\"configs/empty_transform_config.yaml\")\n",
        "\n",
        "    args = parser.parse_args()\n",
        "\n",
        "    args.latent = 512\n",
        "    args.n_mlp = 8\n",
        "\n",
        "    yaml_config = {}\n",
        "    with open(args.config, 'r') as stream:\n",
        "        try:\n",
        "            yaml_config = yaml.load(stream)\n",
        "        except yaml.YAMLError as exc:\n",
        "            print(exc)\n",
        "    \n",
        "    g_ema = Generator(\n",
        "        args.size, args.latent, args.n_mlp, channel_multiplier=args.channel_multiplier\n",
        "    ).to(device)\n",
        "    new_state_dict = g_ema.state_dict()\n",
        "    checkpoint = torch.load(args.ckpt)\n",
        "    \n",
        "    ext_state_dict  = torch.load(args.ckpt)['g_ema']\n",
        "    g_ema.load_state_dict(checkpoint['g_ema'])\n",
        "    new_state_dict.update(ext_state_dict)\n",
        "    g_ema.load_state_dict(new_state_dict)\n",
        "    g_ema.eval()\n",
        "    g_ema.to(device)\n",
        "\n",
        "    if args.truncation < 1:\n",
        "        with torch.no_grad():\n",
        "            mean_latent = g_ema.mean_latent(args.truncation_mean)\n",
        "    else:\n",
        "        mean_latent = None\n",
        "    \n",
        "    layer_channel_dims = create_layer_channel_dim_dict(args.channel_multiplier, 16)\n",
        "    transform_dict_list = create_transforms_dict_list(yaml_config, None, layer_channel_dims)\n",
        "    generate(args, g_ema, device, mean_latent, transform_dict_list)\n",
        "    \n",
        "    config_out = {}\n",
        "    config_out['transforms'] = yaml_config['transforms']\n",
        "    with open(r'sample/config.yaml', 'w') as file:\n",
        "        documents = yaml.dump(config_out, file)"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Overwriting generate_activations.py\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-khDKqtAXDht"
      },
      "source": [
        "## Run the script\n",
        "\n",
        "Activations can be found `/content/network-bending/activations` or download the activations.zip made by the last cell."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IoeLwFURWqHM",
        "outputId": "7fb87b4c-d864-45fc-c803-aaf17a8d2f78"
      },
      "source": [
        "!python generate_activations.py --size 1024 --ckpt /content/ladiesblack.pt --pics 1 --config /content/network-bending/configs/example_transform_config.yaml --truncation 0.8 --channel_multiplier 2"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "  0% 0/1 [00:00<?, ?it/s]Scalar multiply parameter should be a float\n",
            "100% 1/1 [00:40<00:00, 40.29s/it]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "beqAbRNOaKhU",
        "outputId": "f7472f78-865c-49cc-a37f-8e1b61c9587b"
      },
      "source": [
        "!zip -r activations.zip activations"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "  adding: activations/7/0/469.png (deflated 2%)\n",
            "  adding: activations/7/0/082.png (deflated 3%)\n",
            "  adding: activations/7/0/179.png (stored 0%)\n",
            "  adding: activations/7/0/451.png (deflated 2%)\n",
            "  adding: activations/7/0/505.png (deflated 0%)\n",
            "  adding: activations/7/0/426.png (deflated 1%)\n",
            "  adding: activations/7/0/148.png (deflated 2%)\n",
            "  adding: activations/7/0/254.png (deflated 2%)\n",
            "  adding: activations/7/0/173.png (stored 0%)\n",
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            "  adding: activations/15/0/002.png (deflated 0%)\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}