add as_strided operator to the benchmark (#27632)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/27632
Support as_strided operator in the benchmark suite.
Test Plan:
buck run caffe2/benchmarks/operator_benchmark/pt:as_strided_test -- --iterations 3
```
# ----------------------------------------
# PyTorch/Caffe2 Operator Micro-benchmarks
# ----------------------------------------
# Tag : short
# Benchmarking PyTorch: as_strided
# Mode: Eager
# Name: as_strided_M256_N256_size(32,32)_stride(1,1)_storage_offset0
# Input: M: 256, N: 256, size: (32, 32), stride: (1, 1), storage_offset: 0
Forward Execution Time (us) : 92.008
# Benchmarking PyTorch: as_strided
# Mode: Eager
# Name: as_strided_M256_N256_size(32,32)_stride(1,1)_storage_offset1
# Input: M: 256, N: 256, size: (32, 32), stride: (1, 1), storage_offset: 1
Forward Execution Time (us) : 91.029
...
Reviewed By: hl475
Differential Revision: D17840076
fbshipit-source-id: 6585feb51ebfaca40032ffa0a61d5f76c25a2599
