[GitHub] Roshrini 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>]

Roshrini 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_r239904446
 
 

 ##########
 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
+
+    x, y = list(parse_helper(attrs, "offset"))
+    h, w = list(parse_helper(attrs, "h_w", [0, 0]))
+    if num_inputs > 1:
+        h, w = kwargs["out_shape"][-2:]
+    border = [x, y, x + w, y + h]
+
+    crop_node = onnx.helper.make_node(
+        "Crop",
+        inputs=[input_node],
+        outputs=[name],
+        border=border,
+        scale=[1, 1],
+        name=name
+    )
+
+    logging.warning(
+        "Using an experimental ONNX operator: Crop. " \
+        "Its definition can change.")
+
+    return [crop_node]
+
 
 Review comment:
   +1

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services