83 lines
2.7 KiB
C++
83 lines
2.7 KiB
C++
// Copyright (C) 2018-2025 Intel Corporation
|
|
// SPDX-License-Identifier: Apache-2.0
|
|
//
|
|
|
|
#pragma once
|
|
|
|
#include "openvino/op/op.hpp"
|
|
#include "openvino/op/util/attr_types.hpp"
|
|
|
|
namespace ov {
|
|
namespace op {
|
|
namespace v0 {
|
|
/// \brief DepthToSpace permutes data from the depth dimension of the input blob into
|
|
/// spatial dimensions.
|
|
///
|
|
/// \note Values from the depth dimension (assuming NCHW layout) are moved in
|
|
/// spatial blocks to the height and width dimensions.
|
|
///
|
|
/// Output node produces a tensor with shape:
|
|
/// [N, C/(blocksize * blocksize), H * blocksize, W * blocksize]
|
|
/// \ingroup ov_ops_cpp_api
|
|
class OPENVINO_API DepthToSpace : public Op {
|
|
public:
|
|
OPENVINO_OP("DepthToSpace", "opset1");
|
|
|
|
enum class DepthToSpaceMode {
|
|
// The input depth is divided to [block_size, ..., block_size, new_depth]
|
|
BLOCKS_FIRST,
|
|
// The input depth is divided to [new_depth, block_size, ..., block_size]
|
|
DEPTH_FIRST
|
|
};
|
|
|
|
DepthToSpace() = default;
|
|
/// \brief Constructs a DepthToSpace operation.
|
|
///
|
|
/// \param data Node producing the input tensor
|
|
/// \param mode Specifies how the input depth dimension is split to block
|
|
/// coordinates
|
|
/// \param block_size The size of the block of values to be moved
|
|
DepthToSpace(const Output<Node>& data, const DepthToSpaceMode& mode, std::size_t block_size = 1);
|
|
|
|
DepthToSpace(const Output<Node>& data, const std::string& mode, std::size_t block_size = 1);
|
|
bool visit_attributes(AttributeVisitor& visitor) override;
|
|
|
|
void set_block_size(size_t block_size);
|
|
|
|
const std::size_t& get_block_size() const {
|
|
return m_blocksize;
|
|
}
|
|
|
|
void set_mode(DepthToSpaceMode mode);
|
|
|
|
DepthToSpaceMode get_mode() const {
|
|
return m_mode;
|
|
}
|
|
std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
|
|
void validate_and_infer_types() override;
|
|
bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
|
|
bool has_evaluate() const override;
|
|
|
|
protected:
|
|
std::size_t m_blocksize;
|
|
DepthToSpaceMode m_mode;
|
|
};
|
|
} // namespace v0
|
|
} // namespace op
|
|
|
|
OPENVINO_API
|
|
std::ostream& operator<<(std::ostream& s, const op::v0::DepthToSpace::DepthToSpaceMode& type);
|
|
|
|
template <>
|
|
class OPENVINO_API AttributeAdapter<op::v0::DepthToSpace::DepthToSpaceMode>
|
|
: public EnumAttributeAdapterBase<op::v0::DepthToSpace::DepthToSpaceMode> {
|
|
public:
|
|
AttributeAdapter(op::v0::DepthToSpace::DepthToSpaceMode& value)
|
|
: EnumAttributeAdapterBase<op::v0::DepthToSpace::DepthToSpaceMode>(value) {}
|
|
|
|
OPENVINO_RTTI("AttributeAdapter<ov::op::v0::DepthToSpace::DepthToSpaceMode>");
|
|
~AttributeAdapter() override;
|
|
};
|
|
|
|
} // namespace ov
|