#pragma once
#include "megdnn/oprs.h"
#include "src/common/utils.h"
namespace megdnn {
namespace naive {
class BNForwardImpl final : public BNForward {
public:
using BNForward::BNForward;
void exec(
_megdnn_tensor_in src, _megdnn_tensor_in bn_scale,
_megdnn_tensor_in bn_bias, _megdnn_tensor_out mean,
_megdnn_tensor_out variance, _megdnn_tensor_out batch_mean,
_megdnn_tensor_out batch_inv_variance, _megdnn_tensor_out reserve,
_megdnn_tensor_out dst, _megdnn_workspace workspace) override;
size_t get_workspace_in_bytes(
const TensorLayout&, const TensorLayout&, const TensorLayout&,
const TensorLayout&, const TensorLayout&, const TensorLayout&,
const TensorLayout&, const TensorLayout&, const TensorLayout&) override {
return 0;
}
size_t get_reserve_in_bytes(const TensorLayout&) override { return 0; }
};
class BNBackwardImpl final : public BNBackward {
public:
using BNBackward::BNBackward;
void exec(
_megdnn_tensor_in x, _megdnn_tensor_in dy,
_megdnn_tensor_in saved_batch_mean,
_megdnn_tensor_in saved_batch_inv_variance, _megdnn_tensor_in bn_scale,
_megdnn_tensor_in reserve, _megdnn_tensor_out d_bn_scale,
_megdnn_tensor_out d_bn_bias, _megdnn_tensor_out dx,
_megdnn_workspace workspace) override;
size_t get_workspace_in_bytes(
const TensorLayout& x, const TensorLayout&, const TensorLayout&,
const TensorLayout&, const TensorLayout& bn_scale, const TensorLayout&,
const TensorLayout&, const TensorLayout&, const TensorLayout&) override;
size_t get_reserve_in_bytes(const TensorLayout&) override { return 0; }
private:
WorkspaceBundle get_workspace_bundle(
size_t x_size, size_t param_size, void* raw_ptr = nullptr);
};
} }