connorgoggins opened a new pull request #17449: Implemented large tensor flag for opperf testing URL: https://github.com/apache/incubator-mxnet/pull/17449 ## Description ## Added a flag (`large-tensor`) and relevant default data which allows users to run the entire suite of opperf tests with large tensor data after they build MXNet with large tensor support. Please note that several ops still have kernel-level issues with large tensor data, so tests involving these operators may throw errors. ## Checklist ## ### Essentials ### Please feel free to remove inapplicable items for your PR. - [x] Changes are complete (i.e. I finished coding on this PR) - [x] All changes have test coverage - [x] Code is well-documented - [x] To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change ### Changes ### - M benchmark/opperf/nd_operations/array_rearrange.py - M benchmark/opperf/nd_operations/binary_operators.py - M benchmark/opperf/nd_operations/gemm_operators.py - M benchmark/opperf/nd_operations/nn_activation_operators.py - M benchmark/opperf/nd_operations/nn_basic_operators.py - M benchmark/opperf/nd_operations/nn_conv_operators.py - M benchmark/opperf/nd_operations/nn_optimizer_operators.py - M benchmark/opperf/nd_operations/random_sampling_operators.py - M benchmark/opperf/nd_operations/reduction_operators.py - M benchmark/opperf/nd_operations/sorting_searching_operators.py - M benchmark/opperf/nd_operations/unary_operators.py - M benchmark/opperf/opperf.py - M benchmark/opperf/rules/default_params.py - M benchmark/opperf/utils/benchmark_utils.py - M benchmark/opperf/utils/op_registry_utils.py
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