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System information

• TensorFlow version: 1.13.1
• Doc Link: https://www.tensorflow.org/api_docs/python/tf/cus

The array API specification stipulates four numeric constants:

• e
• inf
• nan
• pi

PyTorch currently supports none.

cc @mruberry @rgommers @pmeier

Useful for converting greyscale image back to rgb so that the output can be rendered on canvas with toPixels.

tf api: https://www.tensorflow.org/api_docs/python/tf/image/grayscale_to_rgb

Refer to doc2vec.py, infer_vector function seems to be using epochs for the number of iterations and steps is not in used.

However, in the similarity_unseen_docs function, steps is used when calling the infer_vector function.

Bug Report

Is the issue related to model conversion? No

Describe the bug

DynamicQuantizeLinear function op does not have shape inference function defined. In absence of shape inference, function body is used to get the shape inference for the function op and although it works as a fallback option it hurts perf.

Expected behavior

Add shape inference function for DynamicQuan

I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.