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edit//Qwen3-TTS-test//.venv//Lib//site-packages//torch//include//ATen//native//mkldnn//xpu//detail//oneDNN.h

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+#pragma once
+
+#include <ATen/ATen.h>
+#include <ATen/native/mkldnn/xpu/detail/Attr.h>
+#include <ATen/native/mkldnn/xpu/detail/Utils.h>
+#include <ATen/native/mkldnn/xpu/detail/oneDNNContext.h>
+
+namespace at::native::onednn {
+
+TORCH_API sycl::event matmul(
+    at::Tensor& result,
+    const at::Tensor& mat1,
+    const at::Tensor& mat2,
+    const at::Tensor& b_raw,
+    bool m2_trans,
+    Attr attr,
+    const std::vector<sycl::event>& deps = {});
+
+TORCH_API sycl::event convolution(
+    at::Tensor& dst,
+    const at::Tensor& src,
+    const at::Tensor& weight,
+    const at::Tensor& bia,
+    IntArrayRef padding_front_top_left,
+    IntArrayRef padding_back_bottom_right,
+    IntArrayRef stride,
+    IntArrayRef dilation,
+    int64_t groups,
+    Attr& attr,
+    const std::vector<sycl::event>& deps = {});
+
+TORCH_API sycl::event convolution_backward_weights(
+    at::Tensor& diff_weight,
+    at::Tensor& diff_bia,
+    const at::Tensor& diff_dst,
+    const at::Tensor& src,
+    IntArrayRef diff_weight_aten_size,
+    IntArrayRef padding_front_top_left,
+    IntArrayRef padding_back_bottom_right,
+    IntArrayRef stride,
+    IntArrayRef dilation,
+    int64_t groups,
+    const std::vector<sycl::event>& deps = {});
+
+TORCH_API sycl::event convolution_backward_data(
+    at::Tensor& diff_src,
+    const at::Tensor& diff_dst,
+    const at::Tensor& weight,
+    IntArrayRef padding_front_top_left,
+    IntArrayRef padding_back_bottom_right,
+    IntArrayRef stride,
+    IntArrayRef dilation,
+    int64_t groups,
+    bool bias_defined,
+    const std::vector<sycl::event>& deps = {});
+
+TORCH_API sycl::event deconvolution(
+    at::Tensor& dst,
+    const at::Tensor& src,
+    const at::Tensor& weight,
+    const at::Tensor& bia,
+    IntArrayRef stride,
+    IntArrayRef padding,
+    IntArrayRef dst_padding,
+    IntArrayRef dilation,
+    int64_t groups,
+    Attr& attr,
+    const std::vector<sycl::event>& deps = {});
+
+TORCH_API sycl::event deconvolution_backward_data(
+    at::Tensor& diff_src,
+    const at::Tensor& diff_dst,
+    const at::Tensor& weight,
+    IntArrayRef stride,
+    IntArrayRef padding,
+    IntArrayRef dilation,
+    int64_t groups,
+    bool bias_defined,
+    const std::vector<sycl::event>& deps = {});
+
+TORCH_API sycl::event deconvolution_backward_weights(
+    at::Tensor& diff_weight,
+    at::Tensor& diff_bia,
+    const at::Tensor& diff_dst,
+    const at::Tensor& src,
+    IntArrayRef stride,
+    IntArrayRef padding,
+    IntArrayRef dilation,
+    int64_t groups,
+    const std::vector<sycl::event>& deps = {});
+
+dnnl::memory::dims conv_dst_size(
+    int64_t ndim,
+    IntArrayRef src_tz,
+    IntArrayRef wgh_tz,
+    IntArrayRef padding_front_top_left,
+    IntArrayRef padding_back_bottom_right,
+    IntArrayRef stride,
+    IntArrayRef dilation);
+
+dnnl::memory::dims deconv_dst_size(
+    IntArrayRef src_size,
+    IntArrayRef wgh_size,
+    IntArrayRef padding,
+    IntArrayRef stride,
+    IntArrayRef dilation,
+    IntArrayRef dst_padding,
+    int64_t groups);
+
+at::Tensor quantized_convolution(
+    at::Tensor act,
+    double act_scale,
+    int64_t act_zero_point,
+    at::Tensor weight,
+    at::Tensor weight_scales,
+    at::Tensor weight_zero_points,
+    c10::optional<at::Tensor> bias,
+    torch::List<int64_t> stride,
+    torch::List<int64_t> padding,
+    torch::List<int64_t> dilation,
+    bool transposed,
+    int64_t groups,
+    at::Tensor output,
+    double inv_output_scale,
+    int64_t output_zero_point,
+    c10::optional<at::Tensor> accum,
+    double accum_scale,
+    int64_t accum_zero_point,
+    c10::optional<c10::ScalarType> output_dtype,
+    c10::optional<std::string_view> binary_attr,
+    c10::optional<at::Scalar> binary_alpha,
+    c10::optional<std::string_view> unary_attr,
+    torch::List<c10::optional<at::Scalar>> unary_scalars,
+    c10::optional<std::string_view> unary_algorithm);
+
+} // namespace at::native::onednn