pytorch

82c3f486 - Move hardtanh activation to Aten(CPU, CUDA) (#30152)

Move hardtanh activation to Aten(CPU, CUDA) (#30152) Summary: VitalyFedyunin, This PR is about port Hardtanh activation to Aten: **Test script:** ``` import torch import torch.nn as nn import time torch.manual_seed(0) def _time(): if torch.cuda.is_available(): torch.cuda.synchronize() return time.time() device = "cpu" m = nn.Hardtanh() if torch.cuda.is_available(): device = "cuda" m = m.cuda() #warm up for n in [100, 10000]: input = torch.randn(128, n, requires_grad=True, device=device) grad_output = torch.ones(128, n, device=device) for i in range(1000): output = m(input) output.backward(grad_output) for n in [100, 10000]: input = torch.randn(128, n, requires_grad=True, device=device) grad_output = torch.ones(128, n, device=device) fwd_t = 0 bwd_t = 0 for i in range(10000): t1 = _time() output = m(input) t2 = _time() output.backward(grad_output) t3 = _time() fwd_t = fwd_t + (t2 -t1) bwd_t = bwd_t + (t3 - t2) fwd_avg = fwd_t / 10000 * 1000 bwd_avg = bwd_t / 10000 * 1000 print("input size(128, %d) forward time is %.2f (ms); backwad avg time is %.2f (ms)." % (n, fwd_avg, bwd_avg)) ``` Test Device: CPU: skx-8180, GPU: Tesla P40. Perfromance: Before: ``` GPU: input size(128, 100) forward time is 0.05 (ms); backwad avg time is 0.11 (ms). input size(128, 10000) forward time is 0.06 (ms); backwad avg time is 0.17 (ms). CPU input size(128, 100) forward time is 0.02 (ms); backwad avg time is 0.06 (ms). input size(128, 10000) forward time is 0.84 (ms); backwad avg time is 0.44 (ms). ``` After: ``` GPU: input size(128, 100) forward time is 0.05 (ms); backwad avg time is 0.11 (ms). input size(128, 10000) forward time is 0.06 (ms); backwad avg time is 0.17 (ms). CPU input size(128, 100) forward time is 0.02 (ms); backwad avg time is 0.05 (ms). input size(128, 10000) forward time is 0.61 (ms); backwad avg time is 0.10 (ms). ``` `OMP_NUM_THREADS=1:` ``` Before: input size(128, 100) forward time is 0.05 (ms); backwad avg time is 0.07 (ms). input size(128, 10000) forward time is 5.21 (ms); backwad avg time is 5.25 (ms). After: input size(128, 100) forward time is 0.01 (ms); backwad avg time is 0.02 (ms). input size(128, 10000) forward time is 1.09 (ms); backwad avg time is 1.09 (ms). ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/30152 Differential Revision: D18815545 Pulled By: VitalyFedyunin fbshipit-source-id: d23b6b340a7276457f22dce826bcbe3b341d755f