[OpenCLML] More ops and network coverage #12762
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srkreddy1238
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leandron
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Sep 13, 2022
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Hi @srkreddy1238, thanks for the PR. Can you improve the commit message with the actual operators are being added?
@srkreddy1238 You can look at https://github.com/apache/tvm/blob/main/docs/contribute/pull_request.rst#commit-message-guideline for some guidelines on how to do that. HTH. Cheers. |
Added operators pooling (avg, max), binary operators (add, subtract, multiply, min, max) and concat. Clip operator with min=0 and max=6 is remapped to relu6 to take advantage of CLML acceleration without sub graphing this to fallback path. Added new test cases for above listed operators and also end-to-end network test cases for Resnet50 & InceptionV3. CLML support FP16 arithmetic mode which gives significant performance boost over FP32. This PR enhances FP16 usage based on Operator datatype in relay graph. Co-authored-by: Krishna Raju quic_kvegiraj@quicinc.com Co-authored-by: Shwetank Singh quic_shwesing@quicinc.com
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@leandron pls take a look. |
leandron
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Sep 14, 2022
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Nov 25, 2022
Added operators pooling (avg, max), binary operators (add, subtract, multiply, min, max) and concat. Clip operator with min=0 and max=6 is remapped to relu6 to take advantage of CLML acceleration without sub graphing this to fallback path. Added new test cases for above listed operators and also end-to-end network test cases for Resnet50 & InceptionV3. CLML support FP16 arithmetic mode which gives significant performance boost over FP32. This PR enhances FP16 usage based on Operator datatype in relay graph. Co-authored-by: Krishna Raju quic_kvegiraj@quicinc.com Co-authored-by: Shwetank Singh quic_shwesing@quicinc.com
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Added operators pooling (avg, max), binary operators (add, subtract, multiply, min, max) and concat.
Clip operator with min=0 and max=6 is remapped to relu6 to take advantage of CLML acceleration
without sub graphing this to fallback path.
Added new test cases for above listed operators and also end-to-end network test cases for Resnet50
& InceptionV3.
CLML support FP16 arithmetic mode which gives significant performance boost over FP32. This PR
enhances FP16 usage based on Operator datatype in relay graph.
Co-authored-by: Krishna Raju quic_kvegiraj@quicinc.com
Co-authored-by: Shwetank Singh quic_shwesing@quicinc.com