pytorch/caffe2/python/benchmarks
Jongsoo Park c37baa9177 [caffe2] add concat benchmark (#46457)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/46457

Wanted to see if using CopyMatrix specialized for float that uses mkl_somatcopy can be faster but it wasn't. Still want to check in benchmark that can be used later.

Test Plan: .

Reviewed By: dskhudia

Differential Revision: D24345901

fbshipit-source-id: d3e68dbb560e3138fda11c55789cd41bc0715c6d
2020-10-16 08:48:42 -07:00
..
concat_benchmark.py [caffe2] add concat benchmark (#46457) 2020-10-16 08:48:42 -07:00
fused_rowwise_nbit_conversion_bench.py Remove __future__ imports for legacy Python2 supports (#45033) 2020-09-23 17:57:02 -07:00
sparse_lengths_sum_nbit_benchmark.py Remove __future__ imports for legacy Python2 supports (#45033) 2020-09-23 17:57:02 -07:00
sparse_normalize_benchmark.py [caffe2] Enable fp16 for SparseNormalize op (#45551) 2020-10-13 15:35:22 -07:00