50 lines
1.9 KiB
C++
50 lines
1.9 KiB
C++
// Copyright (C) 2018-2025 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#pragma once
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#include "openvino/op/op.hpp"
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namespace ov {
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namespace op {
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namespace v1 {
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/// \brief BatchToSpace permutes data from the batch dimension of the data tensor into
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/// spatial dimensions.
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///
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/// \note Values from the batch dimension are moved in spatial blocks dimensions.
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///
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/// Output node produces a tensor with shape:
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/// `[batch / (block_shape[0] * block_shape[1] * ... * block_shape[N - 1]),
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/// D_1 * block_shape[1] - crops_begin[1] - crops_end[1],
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/// D_2 * block_shape[2] - crops_begin[2] - crops_end[2], ...,
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/// D_{N - 1} * block_shape[N - 1] - crops_begin[N - 1] - crops_end[N - 1]`
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/// of the same type as `data` input.
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/// \ingroup ov_ops_cpp_api
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class OPENVINO_API BatchToSpace : public Op {
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public:
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OPENVINO_OP("BatchToSpace", "opset2", op::Op);
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BatchToSpace() = default;
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/// \brief Constructs a BatchToSpace operation.
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///
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/// \param data Node producing the data tensor
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/// \param block_shape The sizes of the block of values to be moved
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/// \param crops_begin Specifies the amount to crop from the beginning along each
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/// axis of `data` input
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/// \param crops_end Specifies the amount to crop from the ending along each axis of
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/// `data` input.
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BatchToSpace(const Output<Node>& data,
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const Output<Node>& block_shape,
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const Output<Node>& crops_begin,
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const Output<Node>& crops_end);
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bool evaluate(TensorVector& outputs, const TensorVector& inputs) const override;
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bool has_evaluate() const override;
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void validate_and_infer_types() override;
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std::shared_ptr<Node> clone_with_new_inputs(const OutputVector& new_args) const override;
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bool visit_attributes(AttributeVisitor& visitor) override;
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};
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} // namespace v1
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} // namespace op
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} // namespace ov
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