is_matmul Class — pytorch Architecture
Architecture documentation for the is_matmul class in Attr.h from the pytorch codebase.
Entity Profile
Source Code
aten/src/ATen/native/mkldnn/xpu/detail/Attr.h lines 196–217
template <bool is_matmul = false>
Attr& append_post_binary(dnnl::algorithm algo, const at::Tensor& binary) {
auto binary_ = binary.is_quantized() ? at::dequantize(binary) : binary;
bool binary_is_channels_last =
(binary_.suggest_memory_format() == at::MemoryFormat::ChannelsLast ||
binary_.suggest_memory_format() == at::MemoryFormat::ChannelsLast3d);
if constexpr (!is_matmul) {
binary_ = binary_is_channels_last ? binary_ : binary_.contiguous();
}
dnnl::memory::desc md = get_onednn_md(binary_);
auto expected_md = dnnl::memory::desc(
md.get_dims(), md.get_data_type(), dnnl::memory::format_tag::any);
if constexpr (is_matmul) {
ops_params_.push_back(PostOpParam(binary_, md, md, algo, kind_t::binary));
} else {
ops_params_.push_back(
PostOpParam(binary_, md, expected_md, algo, kind_t::binary));
}
return *this;
}
Source
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free