reduce predefined_min_secs for execution time (#29142)
Summary:
Pull Request resolved: https://github.com/pytorch/pytorch/pull/29142
as title
Test Plan:
```
Before this diff:
# ----------------------------------------
# PyTorch/Caffe2 Operator Micro-benchmarks
# ----------------------------------------
# Tag : short
# Benchmarking PyTorch: add_
# Mode: Eager
# Name: add__M64_N64_K64_cpu
# Input: M: 64, N: 64, K: 64, device: cpu
Forward Execution Time (us) : 122.965
# Benchmarking PyTorch: add_
# Mode: Eager
# Name: add__M64_N64_K128_cpu
# Input: M: 64, N: 64, K: 128, device: cpu
Forward Execution Time (us) : 229.735
# Benchmarking PyTorch: add_
# Mode: Eager
# Name: add__M64_N64_K64_cpu_bwdall
# Input: M: 64, N: 64, K: 64, device: cpu
Backward Execution Time (us) : 950.455
# Benchmarking PyTorch: add_
# Mode: Eager
# Name: add__M64_N64_K64_cpu_bwd1
# Input: M: 64, N: 64, K: 64, device: cpu
Backward Execution Time (us) : 826.893
After this diff:
buck run mode/opt //caffe2/benchmarks/operator_benchmark/pt:add_test;
Parsing buck files: finished in 0.7 sec
Building: finished in 02:35.7 min (100%) 7281/7281 jobs, 1 updated
Total time: 02:36.4 min
# ----------------------------------------
# PyTorch/Caffe2 Operator Micro-benchmarks
# ----------------------------------------
# Tag : short
# Benchmarking PyTorch: add_
# Mode: Eager
# Name: add__M64_N64_K64_cpu
# Input: M: 64, N: 64, K: 64, device: cpu
Forward Execution Time (us) : 125.021
# Benchmarking PyTorch: add_
# Mode: Eager
# Name: add__M64_N64_K128_cpu
# Input: M: 64, N: 64, K: 128, device: cpu
Forward Execution Time (us) : 244.076
# Benchmarking PyTorch: add_
# Mode: Eager
# Name: add__M64_N64_K64_cpu_bwdall
# Input: M: 64, N: 64, K: 64, device: cpu
Backward Execution Time (us) : 946.280
# Benchmarking PyTorch: add_
# Mode: Eager
# Name: add__M64_N64_K64_cpu_bwd1
# Input: M: 64, N: 64, K: 64, device: cpu
Backward Execution Time (us) : 863.835
Reviewed By: hl475
Differential Revision: D18305676
fbshipit-source-id: d382084e39b87c554084891f87701b87cd2d3800
