Bug Report

These tests were run on s390x. s390x is big-endian architecture.

Failure log for helper_test.py

________________________________________________ TestHelperTensorFunctions.test_make_tensor ________________________________________________

self = <helper_test.TestHelperTensorFunctions testMethod=test_make_tensor>

    def test_make_tensor(self):  # type: () -> None
    

Describe the bug
when axis has duplicate value , onnxruntime compute result is all same value ,which is different with expect of tensorflow

Urgency
2020.11.18

System information
Linux Ubuntu 16.04

• ONNX Runtime installed from binary
• ONNX Runtime version:1.4.0
• Python version:3.5

Expected behavior
When there are duplicate values, the duplicate can be removed. j

❓Question

Is there any method for printing converted operation shape during converting?

I converted to .mlmodel, but the model doesn't have output shapes. So I want to inspect which operation was incorrectly converted.

In 3.x coremltools, I can see all shapes each operation. But in 4.0b1, I cannot see it anymore and coremltools only shows the progress status.

v3.x log exampl

I am trying to convert a custom pytorch model to tensorflow, I am abe to convert pytorch to onnx but converting onnx to tensorflow gives issue.

The code snippets are as follows-

pytorch to onnx

net = custom pytorch model
net.load_state_dict("pre-trained model")
dummyInput = np.random.uniform(0,1,(1,8,3,256,256))
dummyInput = Variable(torch.FloatTensor(dummyInput))
torch.onnx.export(ne

https://github.com/awslabs/mxnet-model-server/blob/master/plugins/endpoints/src/main/java/software/amazon/ai/mms/plugins/endpoint/ExecutionParameters.java#L26

'max_request_size' seems to refer to bytes, not mb.