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[Relay] pytorch frontend support conv1d #6203
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Thanks, please add a test. |
@masahi Tests for conv1d and conv1d_transpose were added. |
masahi
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Aug 5, 2020
Thanks @xutianming |
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Aug 13, 2020
* [Relay] pytorch frontend support conv1d * add tests for conv1d Co-authored-by: xutianming.xtm <[email protected]>
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* [Relay] pytorch frontend support conv1d * add tests for conv1d Co-authored-by: xutianming.xtm <[email protected]>
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* [Relay] pytorch frontend support conv1d * add tests for conv1d Co-authored-by: xutianming.xtm <[email protected]>
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* [Relay] pytorch frontend support conv1d * add tests for conv1d Co-authored-by: xutianming.xtm <[email protected]>
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* [Relay] pytorch frontend support conv1d * add tests for conv1d Co-authored-by: xutianming.xtm <[email protected]>
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* [Relay] pytorch frontend support conv1d * add tests for conv1d Co-authored-by: xutianming.xtm <[email protected]>
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I was trying to tune a TextCNN model containing several
Conv1D
operators in TorchScript format.In current pytorch frontend,
Conv1D
was converted intoConv2D
but corresponding parameters were not adjusted accordingly.This pull request fixes above problems. I mainly referred to MXNet frontend here