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[Hexagon] Float and quantized dense operators with schedules #12873
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Thanks for contributing to TVM! Please refer to the contributing guidelines https://tvm.apache.org/docs/contribute/ for useful information and tips. Please request code reviews from Reviewers by @-ing them in a comment. Generated by tvm-bot |
@tvm-bot rerun |
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Let's wait for this PR and rerun this again. After this PR, please move the test file to slice_op sub directory.
#13271
Also, to help with the pylint with test files, please add the test file to pylint script:
tests/lint/pylint.sh
@tvm-bot rerun |
PR is failing for other targets, not sure what is going on. CC: @mehrdadh |
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@tvm-bot rerun |
Failed to re-run CI in https://github.com/apache/tvm/actions/runs/3650397411
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Ping. The lint issues have been addressed and the PR has been rebased. |
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Ping @mehrdadh |
…oses" This reverts commit 8fa3ff3.
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sorry for the delay, looks good.
Please address these few comments before we merge it
tests/python/contrib/test_hexagon/topi/slice_op/test_dense_slice.py
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tests/python/contrib/test_hexagon/topi/slice_op/test_dense_slice.py
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tests/python/contrib/test_hexagon/topi/slice_op/test_dense_slice.py
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…2873) This PR implements dense operators for float types and quantized types. The quantized implementation uses floating point numbers for its intermediate compute type, fixed point will be investigated in the future. float16 accuracy is questionable. Needs further investigation in an actual model (not just a unittest).
…2873) This PR implements dense operators for float types and quantized types. The quantized implementation uses floating point numbers for its intermediate compute type, fixed point will be investigated in the future. float16 accuracy is questionable. Needs further investigation in an actual model (not just a unittest).
This PR implements dense operators for float types and quantized types. The quantized implementation uses floating point numbers for its intermediate compute type, fixed point will be investigated in the future.
float16 accuracy is questionable. Needs further investigation in an actual model (not just a unittest).