)]}'
{
  "commit": "8a3d1c6cc48aa4d0d81d96cc15a00e714adf40f4",
  "tree": "0bc2fd847b32f2bf14a310c02e7d7eb7f5f3e04e",
  "parents": [
    "6ff7077b67561ac4e5b742455c80582b89a765ea"
  ],
  "author": {
    "name": "Scott Todd",
    "email": "scotttodd@google.com",
    "time": "Thu Jan 09 11:46:31 2020 -0800"
  },
  "committer": {
    "name": "Copybara-Service",
    "email": "copybara-worker@google.com",
    "time": "Thu Jan 09 12:02:03 2020 -0800"
  },
  "message": "Add Colab notebook that trains, compiles, and runs an MNIST model.\n\nThis is an updated version of an older (private) notebook that uses\nIREE\u0027s latest Python bindings, compiler, and VM. Its output is similar\nto the already checked in mnist.mlir files and docs/mnist_example.md.\n\nSome of the verbose TensorFlow training steps are in hidden cells\n(expanded on GitHub but folded by default in Colab), to make the\nnotebook easier to scan through.\n\nCloses https://github.com/google/iree/pull/434\n\nCOPYBARA_INTEGRATE_REVIEW\u003dhttps://github.com/google/iree/pull/434 from ScottTodd:colab-mnist f1031c6535a1c612d2a35e0972f5655236375c14\nPiperOrigin-RevId: 288940519\n",
  "tree_diff": [
    {
      "type": "modify",
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      "old_mode": 33188,
      "old_path": "colab/README.md",
      "new_id": "3de3a24e936f9be13c6661127c343bf35f81a13d",
      "new_mode": 33188,
      "new_path": "colab/README.md"
    },
    {
      "type": "add",
      "old_id": "0000000000000000000000000000000000000000",
      "old_mode": 0,
      "old_path": "/dev/null",
      "new_id": "30e11b34967be3ef044c9747975b4d9096bf138c",
      "new_mode": 33188,
      "new_path": "colab/mnist_tensorflow.ipynb"
    }
  ]
}