#pragma once
#include "megdnn/oprs.h"
#include "src/naive/convolution/opr_impl.h"
#include "src/naive/elemwise/opr_impl.h"
#include "src/naive/pooling/opr_impl.h"
namespace megdnn {
namespace naive {
class ConvBiasForwardImpl : public ConvBiasForward {
public:
using ConvBiasForward::ConvBiasForward;
void exec(
_megdnn_tensor_in src, _megdnn_tensor_in filter, _megdnn_tensor_in bias,
_megdnn_tensor_in z, _megdnn_tensor_out dst,
const PreprocessedFilter* preprocessed_filter,
_megdnn_workspace workspace) override;
std::vector<Algorithm*> get_all_algorithms(
const TensorLayout& src, const TensorLayout& filter,
const TensorLayout& bias, const TensorLayout& z,
const TensorLayout& dst) override;
std::vector<Algorithm*> get_all_algorithms_safe(
const TensorLayout& src, const TensorLayout& filter,
const TensorLayout& bias, const TensorLayout& z,
const TensorLayout& dst) override;
Algorithm* get_algorithm_heuristic(
const TensorLayout& src, const TensorLayout& filter,
const TensorLayout& bias, const TensorLayout& z, const TensorLayout& dst,
size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,
const AlgoAttribute& negative_attr) override;
size_t get_workspace_in_bytes(
const TensorLayout& src, const TensorLayout& filter,
const TensorLayout& bias, const TensorLayout& z, const TensorLayout& dst,
const PreprocessedFilter* preprocessed_filter) override;
size_t get_preprocess_workspace_in_bytes(
const TensorLayout&, const TensorLayout&, const TensorLayout&,
const TensorLayout&, const TensorLayout&) override {
return 0;
}
SmallVector<TensorLayout> deduce_preprocessed_filter_layout(
const TensorLayout&, const TensorLayout&, const TensorLayout&,
const TensorLayout&, const TensorLayout&) override {
return {};
}
void exec_preprocess(
const TensorLayout&, _megdnn_tensor_in, _megdnn_tensor_in,
const TensorLayout&, const TensorLayout&, PreprocessedFilter*,
_megdnn_workspace) override {}
const char* get_algorithm_set_name() const override;
Algorithm* get_algorithm_from_desc(const AlgorithmDesc&) override;
};
void handle_z_inp_and_activation_naive(
param::ConvBias::NonlineMode nonline_mode, const TensorND& conv_bias_tensor,
const TensorND& z_tensor, const TensorND& dst_tensor, dt_byte* workspace_ptr);
} }