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Add aten::_thnn_fused_gru_cell and _thnn_fused_lstm_cell #926
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yucai-intel
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Sep 20, 2024
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edited by xytintel
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edited by xytintel
- thnn_fused_gru_cell_forward
- thnn_fused_gru_cell_backward
- thnn_fused_lstm_cell_forward
- thnn_fused_lstm_cell_backward
src/ATen/native/xpu/GRUFusedCell.cpp
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#include <ATen/core/op_registration/adaption.h> | ||
#include <ATen/native/cpu/mixed_data_type.h> | ||
#include <ATen/native/xpu/sycl/GRUFusedCellKernels.h> | ||
#include <ATen/xpu/XPUNativeFunctions.h> |
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This header file seems to be non-existent from the build logs.
Would changing to XPUFunctions.h
instead of XPUNativeFunctions.h
make it work?
#include <ATen/core/op_registration/adaption.h> | ||
#include <ATen/native/cpu/mixed_data_type.h> | ||
#include <ATen/native/xpu/sycl/RNNKernels.h> | ||
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#include <ATen/core/op_registration/adaption.h>
#include <ATen/native/cpu/mixed_data_type.h>
please check if we need head files
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auto hy = at::empty_like(hx, LEGACY_CONTIGUOUS_MEMORY_FORMAT); | ||
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AT_DISPATCH_FLOATING_TYPES_AND2( |
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How we handle non-contiguous input ? CUDA uses tensorInfo, but we just use raw data pointer, without stride information
const Tensor& hidden_bias = | ||
c10::value_or_else(hidden_bias_opt, [] { return Tensor(); }); | ||
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auto batched_input = true; |
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If hard code true
, can we remove it
@yucai-intel Pls show the testcase |
2024-11-12T10:33:51.5087379Z test_modules_xpu.py::TestModuleXPU::test_device_ctx_init_nn_LSTMCell_xpu_float32 SKIPPED [ 11%] |
2024-11-12T10:33:51.6360467Z test_modules_xpu.py::TestModuleXPU::test_errors_nn_GRUCell_xpu_float32 PASSED [ 15%] |