docs/tutorials/deformable_conv2d_ops.ipynb

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    "Setup\n"
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    "try:\n",
    "  %tensorflow_version 2.x\n",
    "except:\n",
    "  pass\n",
    "\n",
    "import tensorflow as tf\n"
   ]
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   "cell_type": "code",
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   "source": [
    "!pip install -q --no-deps tensorflow-addons~=0.9"
   ],
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   "source": [
    "import numpy as np\n",
    "import tensorflow_addons as tfa\n",
    "import matplotlib.pyplot as plt\n"
   ],
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    "Usage example\n",
    "\n",
    "(DeformableConv2D is just like normal tf.keras.layers.Conv2D)\n",
    "\n",
    "(DeformablePSROIAlign is something like tf.image.crop_and_resize)\n",
    "\n",
    "(EquiConv is proposed by https://arxiv.org/pdf/1903.08094.pdf, which is a special case\n",
    "of DeformableConv2D)"
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    "filters = 64\n",
    "batch_size = 4\n",
    "channels = 3\n",
    "kernel_size = (3, 3)\n",
    "padding = \"same\"\n",
    "featuremap = tf.random.uniform(shape=[batch_size, 20, 20, channels], dtype=tf.float32)\n",
    "\n",
    "deformable_layer = tfa.layers.DeformableConv2D(filters, kernel_size, padding=padding)\n",
    "equi_conv_layer = tfa.layers.EquiConv(64, (3, 3), 1, 1, (1, 1),\n",
    "                         1, False, \"same\", \"channels_last\")\n",
    "result = deformable_layer(featuremap)\n",
    "equi_result = equi_conv_layer(featuremap)\n",
    "\n",
    "image_featuremap = tf.random.normal(shape=[2, 64, 100, 100])\n",
    "rois = tf.convert_to_tensor([[0, 1, 1, 800, 800], [1, 2, 2, 400, 400]], dtype=tf.float32)\n",
    "out_dim = 64\n",
    "spatial_scale = 1 / 16\n",
    "group_size = 1\n",
    "pooled_size = 7\n",
    "sample_per_part = 4\n",
    "part_size = 7\n",
    "trans_std = 1\n",
    "data_format = \"channels_first\"\n",
    "psroi_align_layer = tfa.layers.DeformablePSROIAlign(out_dim, spatial_scale, group_size,\n",
    "                                                    pooled_size, sample_per_part, part_size,\n",
    "                                                    trans_std, data_format)\n",
    "features = psroi_align_layer([image_featuremap, rois])"
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