Yan Zhiwei ae351d4d0e [Intel GPU] allow_tf32 for oneDNN backend - XPU part (#137570) ... # Motivation Add context variable `torch.bachend.mkldnn.allow_tf32` to control tf32 computation in convolution kernels at XPU side. The tf32 data type is beneficial to improve the performance of deep learning workloads during training/inference. Current PR uses the [oneDNN API fpmath_mode](https://oneapi-src.github.io/oneDNN/dev_guide_attributes_fpmath_mode.html#the-floating-point-math-mode-attribute) to trigger the tf32 acceleration in convolution kernels. # Valiadation * ut to test context variable `python test/xpu/test_conv.py -k test_mkldnn_allow_tf32_get_set` * Runtime exemplification ``` onednn_verbose,primitive,exec,gpu:0,convolution,jit:ir,forward_training,src_f32::blocked:abcd::f0 wei_f32::blocked:abcd::f0 bia_f32::blocked:a::f0 dst_f32::blocked:abcd::f0,attr-scratchpad:user attr-fpmath:tf32,alg:convolution_direct,mb20_ic16oc33_ih50oh24kh3sh2dh0ph0_iw100ow49kw3sw2dw0pw0,0.649902 onednn_verbose,primitive,exec,gpu:0,convolution,jit:ir,forward_training,src_f32::blocked:abcd::f0 wei_f32::blocked:abcd::f0 bia_f32::blocked:a::f0 dst_f32::blocked:abcd::f0,attr-scratchpad:user attr-fpmath:tf32,alg:convolution_direct,mb20_ic33oc33_ih24oh24kh3sh1dh0ph1_iw49ow49kw3sw1dw0pw1,0.151855 onednn_verbose,primitive,exec,gpu:0,convolution,jit:ir,backward_data,src_f32::blocked:abcd::f0 wei_f32::blocked:abcd::f0 bia_undef::undef::: dst_f32::blocked:abcd::f0,attr-scratchpad:user attr-fpmath:tf32,alg:convolution_direct,mb20_ic33oc33_ih24oh24kh3sh1dh0ph1_iw49ow49kw3sw1dw0pw1,0.167969 onednn_verbose,primitive,exec,gpu:0,convolution,jit:ir,backward_weights,src_f32::blocked:abcd::f0 wei_f32::blocked:abcd::f0 bia_f32::blocked:a::f0 dst_f32::blocked:abcd::f0,attr-scratchpad:user attr-fpmath:tf32,alg:convolution_direct,mb20_ic33oc33_ih24oh24kh3sh1dh0ph1_iw49ow49kw3sw1dw0pw1,0.26709 onednn_verbose,primitive,exec,gpu:0,convolution,jit:ir,backward_weights,src_f32::blocked:abcd::f0 wei_f32::blocked:abcd::f0 bia_f32::blocked:a::f0 dst_f32::blocked:abcd::f0,attr-scratchpad:user attr-fpmath:tf32,alg:convolution_direct,mb20_ic16oc33_ih50oh24kh3sh2dh0ph0_iw100ow49kw3sw2dw0pw0,0.219971 ``` According to the field `fpmath:tf32` in verbose, we could see that, current context setting utils could successfully trigger tf32 computation in conv forward/backward_data/backward_weights kernels. Pull Request resolved: https://github.com/pytorch/pytorch/pull/137570 Approved by: https://github.com/guangyey, https://github.com/EikanWang, https://github.com/atalman, https://github.com/malfet Co-authored-by: Yu, Guangye <guangye.yu@intel.com>		2025-02-17 01:46:43 +00:00
..
__init__.py	[Intel GPU] allow_tf32 for oneDNN backend - XPU part (#137570)	2025-02-17 01:46:43 +00:00