vandanavk commented on a change in pull request #13500: [MXNET-898] ONNX
import/export: Sample_multinomial, ONNX export: Gather, GlobalLpPool, LpPool
URL: https://github.com/apache/incubator-mxnet/pull/13500#discussion_r242674070
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File path: python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
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@@ -1655,3 +1678,45 @@ def convert_size(node, **kwargs):
and return the created node.
"""
return create_basic_op_node('Size', node, kwargs)
+
+@mx_op.register("_sample_multinomial")
+def convert_multinomial(node, **kwargs):
+ """Map MXNet's multinomial operator attributes to onnx's
+ Multinomial operator and return the created node.
+ """
+ name, input_nodes, attrs = get_inputs(node, kwargs)
+ dtype = onnx.mapping.NP_TYPE_TO_TENSOR_TYPE[np.dtype(attrs.get("dtype",
'int32'))]
+ sample_size = convert_string_to_list(attrs.get("shape", '1'))
+ if len(sample_size) < 2:
+ sample_size = sample_size[-1]
+ else:
+ raise AttributeError("ONNX currently supports integer sample_size
only")
+ node = onnx.helper.make_node(
+ "Multinomial",
+ input_nodes,
+ [name],
+ dtype=dtype,
+ sample_size=sample_size,
+ name=name,
+ )
+ return [node]
+
+
+@mx_op.register("take")
+def convert_gather(node, **kwargs):
+ """Map MXNet's size_array operator attributes to onnx's Size operator
+ and return the created node.
+ """
+ name, input_nodes, attrs = get_inputs(node, kwargs)
+
+ axis = int(attrs.get('axis', '0'))
Review comment:
I have submitted an issue in ONNX asking about this
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