Home / Class/ BatchNormPackedContext Class — pytorch Architecture

BatchNormPackedContext Class — pytorch Architecture

Architecture documentation for the BatchNormPackedContext class in Batchnorm.h from the pytorch codebase.

Entity Profile

Source Code

aten/src/ATen/native/vulkan/ops/Batchnorm.h lines 14–47

class BatchNormPackedContext final : virtual public VulkanPackedContext,
                                     public torch::jit::CustomClassHolder {
 private:
  c10::impl::GenericList unpacked_;

 public:
  BatchNormPackedContext(
      const std::optional<Tensor>& weight_opt,
      const std::optional<Tensor>& bias_opt,
      const std::optional<Tensor>& running_mean_opt,
      const std::optional<Tensor>& running_var_opt,
      double eps);

  /*
   * Assigns a name to each index in the packed/unpacked list.
   */
  struct ListArgs final {
    static constexpr uint32_t kWeight = 0u;
    static constexpr uint32_t kBias = 1u;
    static constexpr uint32_t kRunningMean = 2u;
    static constexpr uint32_t kRunningVar = 3u;
    static constexpr uint32_t kEps = 4u;

    static constexpr uint32_t kNumArgs = 5u;
  };

  static BatchNormPackedContext pack(c10::impl::GenericList);

  const c10::impl::GenericList unpack() const override {
    TORCH_CHECK(!unpacked_.empty(), "unpacked_ does not have any elements!");

    return unpacked_;
  }
};

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