nswamy closed pull request #13067: ONNX export: Scalar, Reshape - Set
appropriate tensor type …
URL: https://github.com/apache/incubator-mxnet/pull/13067
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign pull request (from a fork), the diff is supplied
below (as it won't show otherwise due to GitHub magic):
diff --git a/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
b/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
index 11e75d9a600..fb2e6979201 100644
--- a/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
+++ b/python/mxnet/contrib/onnx/mx2onnx/_op_translations.py
@@ -843,7 +843,9 @@ def scalar_op_helper(node, op_name, **kwargs):
"""Helper function for scalar arithmetic operations"""
name, input_nodes, attrs = get_inputs(node, kwargs)
- scalar_value = [float(attrs.get("scalar", 1))]
+ input_type = kwargs["in_type"]
+ scalar_value = np.array([attrs.get("scalar", 1)],
+
dtype=onnx.mapping.TENSOR_TYPE_TO_NP_TYPE[input_type])
initializer = kwargs["initializer"]
flag = True
@@ -864,17 +866,15 @@ def scalar_op_helper(node, op_name, **kwargs):
# else create a new tensor of the scalar value, add it in initializer
if flag is True:
- np_arr = np.array(scalar_value)
- data_type = onnx.mapping.NP_TYPE_TO_TENSOR_TYPE[np_arr.dtype]
- dims = np.shape(np_arr)
+ dims = np.shape(scalar_value)
scalar_op_name = "scalar_op" + str(kwargs["idx"])
- tensor_node = onnx.helper.make_tensor_value_info(scalar_op_name,
data_type, dims)
+ tensor_node = onnx.helper.make_tensor_value_info(scalar_op_name,
input_type, dims)
initializer.append(
onnx.helper.make_tensor(
name=scalar_op_name,
- data_type=data_type,
+ data_type=input_type,
dims=dims,
vals=scalar_value,
raw=False,
@@ -1249,7 +1249,7 @@ def convert_reshape(node, **kwargs):
output_shape_list = convert_string_to_list(attrs["shape"])
initializer = kwargs["initializer"]
- output_shape_np = np.array(output_shape_list)
+ output_shape_np = np.array(output_shape_list, dtype='int64')
data_type = onnx.mapping.NP_TYPE_TO_TENSOR_TYPE[output_shape_np.dtype]
dims = np.shape(output_shape_np)
----------------------------------------------------------------
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:
[email protected]
With regards,
Apache Git Services
