#pragma once
#include "megdnn/oprs.h"
#include "src/common/algo_base.h"
#include "src/common/metahelper.h"
#include "src/cuda/deformable_conv/opr_impl.h"
#include "src/cuda/utils.h"
#include <unordered_map>
namespace megdnn {
namespace cuda {
class DeformableConvForwardImpl::AlgoBase : public Algorithm {
protected:
~AlgoBase() = default;
public:
enum class AlgoType : uint32_t {
CUDA_MATMUL,
};
using Mapper = std::unordered_map<AlgorithmDesc, AlgoBase*>;
AlgoBase() : Algorithm() { m_handle_type = Handle::HandleType::CUDA; }
struct SizeArgs {
DeformableConvForwardImpl* opr;
HandleImpl* handle;
const TensorLayout& im_layout;
CanonizedFilterMeta filter_meta;
const TensorLayout& offset_layout;
const TensorLayout& mask_layout;
const TensorLayout& dst_layout;
std::string to_string() const;
SizeArgs(
DeformableConvForwardImpl* opr, const TensorLayout& im,
const TensorLayout& filter, const TensorLayout& offset,
const TensorLayout& mask, const TensorLayout& dst);
SizeArgs(
DeformableConvForwardImpl* opr, const TensorLayout& im,
const CanonizedFilterMeta& filter, const TensorLayout& offset,
const TensorLayout& mask, const TensorLayout& dst);
};
struct ExecArgs : public SizeArgs {
const TensorND &im_tensor, filter_tensor, offset_tensor, mask_tensor,
dst_tensor;
Workspace workspace;
ExecArgs(
DeformableConvForwardImpl* opr, _megdnn_tensor_in im,
_megdnn_tensor_in filter, _megdnn_tensor_in offset,
_megdnn_tensor_in mask, _megdnn_tensor_out dst,
_megdnn_workspace workspace);
};
virtual bool is_available(const SizeArgs& args) const = 0;
virtual size_t get_workspace_in_bytes(const SizeArgs& args) const = 0;
virtual void exec(const ExecArgs& args) const = 0;
bool is_available_wk(const SizeArgs& args, size_t limit) {
return is_available(args) && get_workspace_in_bytes(args) <= limit;
}
bool is_available_attribute(
const SizeArgs& args,
const AlgoAttribute& positive_attr = AlgoAttribute::REPRODUCIBLE,
const AlgoAttribute& negative_attr = AlgoAttribute::DEFAULT,
size_t limit = std::numeric_limits<size_t>::max()) {
return contain_attribute_all(positive_attr) &&
!contain_attribute_any(negative_attr) && is_available_wk(args, limit);
}
AlgoBase& check_workspace(const SizeArgs& args, const Workspace& workspace) {
auto req = get_workspace_in_bytes(args);
megdnn_assert(
req <= workspace.size,
"deformable_conv fwd algo %s: required workspace %zu "
"bytes, got %zu",
name(), req, workspace.size);
return *this;
}
};
class DeformableConvForwardImpl::AlgoMatmul final : public AlgoBase {
private:
static WorkspaceBundle get_bundle(const SizeArgs& args);
public:
bool is_available(const SizeArgs& args) const override;
size_t get_workspace_in_bytes(const SizeArgs& args) const override;
void exec(const ExecArgs& args) const override;
AlgoAttribute attribute() const override { return AlgoAttribute::REPRODUCIBLE; }
std::vector<SearchItem> get_subopr_list(
const TensorLayoutArray& layouts, const OperatorBase* opr) const override;
const char* name() const override { return "MATMUL"; }
MEGDNN_DECL_ALGO_TYPE(CUDA_MATMUL)
};
class DeformableConvForwardImpl::AlgoPack : NonCopyableObj {
AlgoBase::Mapper m_all_algos_map;
public:
AlgoPack();
AlgoMatmul algo_matmul;
std::vector<AlgoBase*> all_algos;
const AlgoBase::Mapper& all_algos_map() const { return m_all_algos_map; }
};
} }