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[v1.x] onnx fix rnn #20272

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Zha0q1 merged 2 commits into from
May 15, 2021
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[v1.x] onnx fix rnn #20272

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9210d3c
fix rnn
Zha0q1 May 14, 2021
da3808f
fix whitespace
Zha0q1 May 14, 2021
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2 changes: 1 addition & 1 deletion python/mxnet/onnx/mx2onnx/_op_translations/_op_translations_opset12.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4525,7 +4525,7 @@ def convert_RNN(node, **kwargs):
create_tensor([state_size], name+'_state_size', kwargs['initializer'])
create_tensor([direction], name+'_direction', kwargs['initializer'])

tensor_1 = make_tensor(name+'_1_f', dtype, [1], [1])
tensor_1 = make_tensor(name+'_1_f', onnx.mapping.NP_TYPE_TO_TENSOR_TYPE[dtype], [1], [1])

nodes = [
make_node('Shape', [data], [name+'_data_shape']),
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6 changes: 3 additions & 3 deletions python/mxnet/onnx/mx2onnx/_op_translations/_op_translations_opset13.py
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Original file line number Diff line number Diff line change
Expand Up @@ -208,7 +208,6 @@ def create_tensor(tensor_list, tensor_name, initializer, dtype='int64'):
raw=False
)
initializer.append(tensor)
return tensor


def create_helper_trans_node(node_name, input_node):
Expand Down Expand Up @@ -1009,7 +1008,7 @@ def convert_RNN(node, **kwargs):
"""Map MXNet's RNN operator attributes to onnx's operators
and return the created node.
"""
from onnx.helper import make_node
from onnx.helper import make_node, make_tensor
from onnx import TensorProto

name, input_nodes, attrs = get_inputs(node, kwargs)
Expand Down Expand Up @@ -1047,7 +1046,8 @@ def convert_RNN(node, **kwargs):
create_tensor([1], name+'_1', kwargs['initializer'])
create_tensor([state_size], name+'_state_size', kwargs['initializer'])
create_tensor([direction], name+'_direction', kwargs['initializer'])
tensor_1 = create_tensor([1], name+'_1_f', kwargs['initializer'], dtype)

tensor_1 = make_tensor(name+'_1_f', onnx.mapping.NP_TYPE_TO_TENSOR_TYPE[dtype], [1], [1])

nodes = [
make_node('Shape', [data], [name+'_data_shape']),
Expand Down