[GitHub] ptrendx commented on a change in pull request #12399: ONNX export: Add Crop, Deconvolution and fix the default stride of Pooling to 1

[GitBox <gi...@apache.org>]

ptrendx commented on a change in pull request #12399: ONNX export: Add Crop, Deconvolution and fix the default stride of Pooling to 1
URL: https://github.com/apache/incubator-mxnet/pull/12399#discussion_r245149997
 
 

 ##########
 File path: python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
 ##########
 @@ -219,6 +219,72 @@ def convert_convolution(node, **kwargs):
     return [conv_node]
 
 
+@mx_op.register("Deconvolution")
+def convert_deconvolution(node, **kwargs):
+    """Map MXNet's deconvolution operator attributes to onnx's ConvTranspose operator
+    and return the created node.
+    """
+    name, inputs, attrs = get_inputs(node, kwargs)
+
+    kernel_dims = list(parse_helper(attrs, "kernel"))
+    stride_dims = list(parse_helper(attrs, "stride", [1, 1]))
+    pad_dims = list(parse_helper(attrs, "pad", [0, 0]))
+    num_group = int(attrs.get("num_group", 1))
+    dilations = list(parse_helper(attrs, "dilate", [1, 1]))
+    adj_dims = list(parse_helper(attrs, "adj", [0, 0]))
+
+    pad_dims = pad_dims + pad_dims
+
+    deconv_node = onnx.helper.make_node(
+        "ConvTranspose",
+        inputs=inputs,
+        outputs=[name],
+        kernel_shape=kernel_dims,
+        strides=stride_dims,
+        dilations=dilations,
+        output_padding=adj_dims,
+        pads=pad_dims,
+        group=num_group,
+        name=name
+    )
+
+    return [deconv_node]
+
+
+@mx_op.register("Crop")
+def convert_crop(node, **kwargs):
+    """Map MXNet's crop operator attributes to onnx's Crop operator
+    and return the created node.
+    """
+    name, inputs, attrs = get_inputs(node, kwargs)
+
+    num_inputs = len(inputs)
+
+    proc_nodes = kwargs["proc_nodes"]
+    input_node = proc_nodes[kwargs["index_lookup"][inputs[0][0]]].name
 
 Review comment:
   Done

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