zxy844288792 commented on a change in pull request #6366:
URL: https://github.com/apache/incubator-tvm/pull/6366#discussion_r483378185
##########
File path: python/tvm/contrib/target/onnx.py
##########
@@ -349,13 +354,13 @@ def convert(cls, node_entry, model_container, node_dict):
name = node_entry['name']
data = numpy.asarray(attrs['pads'],
dtype=attrs['pads'][0].dtype).astype(numpy.int64)
- input_name = 'pads_{}'.format(name)
value =
numpy.dtype(node_entry['types'][0].dtype).type(attrs['constant_value'])
- input_value_name = 'value_{}'.format(name)
- add_input(data, input_name, model_container)
- add_input(value, input_value_name, model_container)
- input_names = [node_entry['input_names'][0], input_name,
input_value_name]
+ input_names = []
+ input_names.append(add_input(data, name, 'pads', model_container))
+ input_names.append(add_input(value, name, 'value', model_container))
+ input_names = [node_entry['input_names'][0]] + input_names
Review comment:
comment addressed
##########
File path: python/tvm/contrib/target/onnx.py
##########
@@ -111,14 +113,17 @@ def convert(cls, node_entry, model_container, node_dict):
Relay operator accepts shape as attribute but ONNX operator
accepts it as a input.
"""
-
+ name = node_entry['name']
shape = numpy.asarray([a.value for a in
node_entry['relay_node'].attrs.newshape],
dtype=numpy.int64)
- input_name = 'shape{}'.format(node_entry['name'])
- node = onnx.helper.make_node(cls.__name__,
[node_entry['input_names'][0], input_name],
+
+ input_names = []
+ input_names.append(add_input(shape, name, 'shape', model_container))
+ input_names = [node_entry['input_names'][0]] + input_names
Review comment:
comment addressed
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