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160 lines (146 loc) · 7.31 KB
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// Copyright (C) 2018-2026 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#include "openvino/reference/experimental_detectron_proposal_single_image.hpp"
#include "evaluate_node.hpp"
#include "evaluates_map.hpp"
template <ov::element::Type_t ET>
bool evaluate(const std::shared_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>& op,
ov::TensorVector& outputs,
const ov::TensorVector& inputs) {
const auto attrs = op->get_attrs();
size_t post_nms_count = 0;
if (attrs.post_nms_count < 0) {
OPENVINO_THROW("The attribute post_nms_count of the operation "
"ExperimentalDetectronGenerateProposalsSingleImage must be a "
"nonnegative integer.");
} else {
post_nms_count = static_cast<size_t>(attrs.post_nms_count);
}
const ov::Shape output_rois_shape = ov::Shape{post_nms_count, 4};
const ov::Shape output_scores_shape = ov::Shape{post_nms_count};
const auto output_type = op->get_input_element_type(0);
const auto& im_info_shape = inputs[0].get_shape();
const auto& anchors_shape = inputs[1].get_shape();
const auto& deltas_shape = inputs[2].get_shape();
const auto& scores_shape = inputs[3].get_shape();
const auto im_info_data = get_floats(inputs[0], im_info_shape);
const auto anchors_data = get_floats(inputs[1], anchors_shape);
const auto deltas_data = get_floats(inputs[2], deltas_shape);
const auto scores_data = get_floats(inputs[3], scores_shape);
std::vector<float> output_rois(ov::shape_size(output_rois_shape));
std::vector<float> output_scores(ov::shape_size(output_scores_shape));
outputs[0].set_shape(output_rois_shape);
outputs[1].set_shape(output_scores_shape);
ov::reference::experimental_detectron_proposals_single_image(im_info_data.data(),
anchors_data.data(),
deltas_data.data(),
scores_data.data(),
attrs,
im_info_shape,
anchors_shape,
deltas_shape,
scores_shape,
output_rois.data(),
output_scores.data());
ov::reference::experimental_detectron_proposals_single_image_postprocessing(outputs[0].data(),
outputs[1].data(),
output_type,
output_rois,
output_scores,
output_rois_shape,
output_scores_shape);
return true;
}
template <>
bool evaluate_node<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(std::shared_ptr<ov::Node> node,
ov::TensorVector& outputs,
const ov::TensorVector& inputs) {
auto element_type = node->get_output_element_type(0);
if (ov::is_type<ov::op::v1::Select>(node) || ov::is_type<ov::op::util::BinaryElementwiseComparison>(node))
element_type = node->get_input_element_type(1);
switch (element_type) {
case ov::element::boolean:
return evaluate<ov::element::boolean>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::bf16:
return evaluate<ov::element::bf16>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::f16:
return evaluate<ov::element::f16>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::f64:
return evaluate<ov::element::f64>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::f32:
return evaluate<ov::element::f32>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::i4:
return evaluate<ov::element::i4>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::i8:
return evaluate<ov::element::i8>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::i16:
return evaluate<ov::element::i16>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::i32:
return evaluate<ov::element::i32>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::i64:
return evaluate<ov::element::i64>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::u1:
return evaluate<ov::element::u1>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::u4:
return evaluate<ov::element::u4>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::u8:
return evaluate<ov::element::u8>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::u16:
return evaluate<ov::element::u16>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::u32:
return evaluate<ov::element::u32>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
case ov::element::u64:
return evaluate<ov::element::u64>(
ov::as_type_ptr<ov::op::v6::ExperimentalDetectronGenerateProposalsSingleImage>(node),
outputs,
inputs);
default:
OPENVINO_THROW("Unhandled data type ", node->get_element_type().get_type_name(), " in evaluate_node()");
}
}