LinearPackedContext Class — pytorch Architecture
Architecture documentation for the LinearPackedContext class in Mm.h from the pytorch codebase.
Entity Profile
Source Code
aten/src/ATen/native/vulkan/ops/Mm.h lines 56–96
class LinearPackedContext final : virtual public VulkanPackedContext,
public torch::jit::CustomClassHolder {
private:
c10::impl::GenericList unpacked_;
public:
LinearPackedContext(
const Tensor& weight,
const std::optional<Tensor>& bias,
const bool use_batch = false);
/*
* Assigns a name to each index in the unpacked list.
*/
struct Unpacked final {
static constexpr uint32_t Weight = 0u;
static constexpr uint32_t Bias = 1u;
static constexpr uint32_t NumArgs = 2u;
};
/*
* Assigns a name to each index in the packed list.
*/
struct Packed final {
static constexpr uint32_t Weight = 0u;
static constexpr uint32_t Bias = 1u;
static constexpr uint32_t WeightSizes = 2u;
static constexpr uint32_t BiasDefined = 3u;
static constexpr uint32_t NumArgs = 4u;
};
static LinearPackedContext pack(c10::impl::GenericList);
const c10::impl::GenericList unpack() const override {
TORCH_CHECK(!unpacked_.empty(), "unpacked_ does not have any elements!");
return unpacked_;
}
};
Source
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free