#pragma once
#include "megdnn/oprs.h"
#include "src/rocm/miopen_wrapper.h"
namespace megdnn {
namespace rocm {
class PoolingForwardImpl final : public PoolingForward {
public:
using PoolingForward::PoolingForward;
void exec(
_megdnn_tensor_in src, _megdnn_tensor_out dst,
_megdnn_workspace workspace) override;
size_t get_workspace_in_bytes(const TensorLayout&, const TensorLayout&) override;
const char* get_algorithm_set_name() const override;
Algorithm* get_algorithm_from_desc(const AlgorithmDesc& desc) override;
AlgorithmInfo get_algorithm_info_heuristic(
const TensorLayout& src, const TensorLayout& dst,
size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,
const AlgoAttribute& negative_attr) {
return get_algorithm_heuristic(
src, dst, workspace_limit_in_bytes, positive_attr, negative_attr)
->info();
}
class AlgoBase;
class AlgoMIOpen;
class AlgoPack;
static const AlgoPack& algo_pack() { return sm_algo_pack; }
protected:
std::vector<Algorithm*> get_all_algorithms(
const TensorLayout& src, const TensorLayout& dst) override;
std::vector<Algorithm*> get_all_algorithms_safe(
const TensorLayout& src, const TensorLayout& dst) override;
Algorithm* get_algorithm_heuristic(
const TensorLayout& src, const TensorLayout& dst,
size_t workspace_limit_in_bytes, const AlgoAttribute& positive_attr,
const AlgoAttribute& negative_attr) override;
private:
static AlgoPack sm_algo_pack;
};
class PoolingBackwardImpl final : public PoolingBackward {
public:
using PoolingBackward::PoolingBackward;
void exec(
_megdnn_tensor_in src, _megdnn_tensor_in dst, _megdnn_tensor_in diff,
_megdnn_tensor_out grad, _megdnn_workspace workspace) override;
size_t get_workspace_in_bytes(
const TensorLayout& src, const TensorLayout& dst, const TensorLayout& diff,
const TensorLayout& grad) override;
const char* get_algorithm_set_name() const override;
Algorithm* get_algorithm_from_desc(const AlgorithmDesc& desc) override;
AlgorithmInfo get_algorithm_info_heuristic(
const TensorLayout& src, const TensorLayout& dst, const TensorLayout& diff,
const TensorLayout& grad, size_t workspace_limit_in_bytes,
const AlgoAttribute& positive_attr, const AlgoAttribute& negative_attr) {
return get_algorithm_heuristic(
src, dst, diff, grad, workspace_limit_in_bytes, positive_attr,
negative_attr)
->info();
}
class AlgoBase;
class AlgoMIOpen;
class AlgoPack;
static const AlgoPack& algo_pack() { return sm_algo_pack; }
protected:
std::vector<Algorithm*> get_all_algorithms(
const TensorLayout& src, const TensorLayout& dst, const TensorLayout& diff,
const TensorLayout& grad) override;
std::vector<Algorithm*> get_all_algorithms_safe(
const TensorLayout& src, const TensorLayout& dst, const TensorLayout& diff,
const TensorLayout& grad) override;
Algorithm* get_algorithm_heuristic(
const TensorLayout& src, const TensorLayout& dst, const TensorLayout& diff,
const TensorLayout& grad, size_t workspace_limit_in_bytes,
const AlgoAttribute& positive_attr,
const AlgoAttribute& negative_attr) override;
private:
static AlgoPack sm_algo_pack;
};
} }