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[Large Tensor] Implemented LT flag for OpPerf testing #17449

Merged
merged 59 commits into from
Feb 29, 2020
Merged

[Large Tensor] Implemented LT flag for OpPerf testing #17449

merged 59 commits into from
Feb 29, 2020

Commits on Feb 25, 2020

  1. Passing large_tensor parameter down

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  2. Adding large tensor testing functionality for convolutional operators

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  3. Added large tensor test functionality for conv ops

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  4. Fixing sizing for conv ops

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  5. Added gemm large tensor, print on conv

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  6. Updated input for gemm ops and print statements

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  7. Fixed deconv large tensor test

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  8. Added bias for deconv

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  9. Added test functionality for nn_activation and nn_basic ops

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  10. Fixed deconv bias, implemented large tensor test logic for general op… 

    …s, added default data for large tensor test
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  11. Dropped unnecessary print statements

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  12. Fixed lint errors

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  13. Added large_tensor parameter to existing function descriptions, added… 

    … descriptions for functions missing descriptions
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  14. Adding docs, changed large_tensor to int64_tensor for clarity

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  15. Added warmup/runs to gemm ops, debugging process failure

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  16. Resolved merge conficts, added default params and input switching fun… 

    …ctionality
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  17. Dynamic input handling for default inputs, additional custom data for… 

    … int64
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  18. Fixed RPD issue

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Commits on Feb 27, 2020

  1. Everything through reduction ops working

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  2. Passing large_tensor parameter down

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    connorgoggins committed Feb 27, 2020
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  3. Adding large tensor testing functionality for convolutional operators

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  4. Added large tensor test functionality for conv ops

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  5. Fixing sizing for conv ops

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  6. Added gemm large tensor, print on conv

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  7. Updated input for gemm ops and print statements

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  8. Fixed deconv large tensor test

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  9. Added bias for deconv

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  10. Added test functionality for nn_activation and nn_basic ops

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  11. Fixed deconv bias, implemented large tensor test logic for general op… 

    …s, added default data for large tensor test
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  12. Dropped unnecessary print statements

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  13. Fixed lint errors

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  14. Added large_tensor parameter to existing function descriptions, added… 

    … descriptions for functions missing descriptions
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  15. Adding docs, changed large_tensor to int64_tensor for clarity

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  16. Added warmup/runs to gemm ops, debugging process failure

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  17. Resolved merge conficts, added default params and input switching fun… 

    …ctionality
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  18. Dynamic input handling for default inputs, additional custom data for… 

    … int64
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  19. Fixed RPD issue

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  20. Everything through reduction ops working

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  21. Random sampling & loss ops working

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  22. Added indices, depth, ravel_data in default_params

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  23. Added indexing ops - waiting for merge on ravel

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  24. Added optimizer ops

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  25. Resolved merge conflicts on optimizer ops

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Commits on Feb 28, 2020

  1. All misc ops working

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  2. Resolved merge conflicts while adding misc ops

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  3. All NN Basic ops working

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  4. Fixed merge conflict on adding NN Basic ops

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  5. Fixed LT input for ROIPooling

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  6. Refactored NN Conv tests

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  7. Added test for inline optimizer ops

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  8. Dropping extra tests to decrease execution time

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  9. Switching to inline tests for RNN to support additional modes

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  10. Added state_cell as NDArray param, removed linalg testing for int64 t… 

    …ensor
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  11. Cleaned up styling

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  12. Fixed conv and deconv tests

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  13. Merge branch 'opperf_large_tensor_flag' of https://github.com/connorg… 

    …oggins/incubator-mxnet into opperf_large_tensor_flag
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  14. Retrigger CI for continuous build

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  15. Cleaned up GEMM op inputs

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  16. Dropped unused param from default_params

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