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topic: enhancementRequest for new feature or operatorRequest for new feature or operatortopic: operatorIssues related to ONNX operatorsIssues related to ONNX operators
Milestone
Description
System information
1.15dev
What is the problem that this feature solves?
PyTorch accepts a dynamic list (https://github.com/pytorch/pytorch/blob/e773f28ee307e2a246a4b765f3a51117661b45ba/aten/src/ATen/native/native_functions.yaml#L2914) of axes as input to its _fft_c2c
operator. Currently DFT-17
requires axis
to be static (https://onnx.ai/onnx/operators/onnx__DFT.html). To fully support _fft_c2c
we need axis to be dynamic in DFT
.
With this we are also able to express a n-d DFT with functions (with a loop inside).
Alternatives considered
No response
Describe the feature
No response
Will this influence the current api (Y/N)?
N
Feature Area
operators
Are you willing to contribute it (Y/N)
Yes
Notes
No response
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topic: enhancementRequest for new feature or operatorRequest for new feature or operatortopic: operatorIssues related to ONNX operatorsIssues related to ONNX operators