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[ONNX] QLinearConvolution (openvinotoolkit#7210)
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,68 @@ | ||
| // Copyright (C) 2018-2021 Intel Corporation | ||
| // SPDX-License-Identifier: Apache-2.0 | ||
| // | ||
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| // Disabled in CMakeList | ||
| // Update to higher opset required | ||
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| #include "op/qlinear_conv.hpp" | ||
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| #include <cstddef> | ||
| #include <memory> | ||
| #include <vector> | ||
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| #include "conv.hpp" | ||
| #include "dequantize_linear.hpp" | ||
| #include "exceptions.hpp" | ||
| #include "ngraph/opsets/opset6.hpp" | ||
| #include "onnx_import/core/null_node.hpp" | ||
| #include "quantize_linear.hpp" | ||
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| namespace ngraph { | ||
| namespace onnx_import { | ||
| namespace op { | ||
| namespace set_1 { | ||
| OutputVector qlinear_conv(const Node& node) { | ||
| const OutputVector& inputs = node.get_ng_inputs(); | ||
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| auto x = inputs.at(0); | ||
| auto x_scale = inputs.at(1); | ||
| auto x_zero_point = inputs.at(2); | ||
| auto w = inputs.at(3); | ||
| auto w_scale = inputs.at(4); | ||
| auto w_zero_point = inputs.at(5); | ||
| auto y_scale = inputs.at(6); | ||
| auto y_zero_point = inputs.at(7); | ||
| Output<ngraph::Node> B = inputs.size() > 8 ? inputs.at(8) : std::make_shared<NullNode>()->output(0); | ||
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| x = set_13::detail::dequantize_linear(x, | ||
| x_scale, | ||
| std::make_shared<opset6::Convert>(x_zero_point, element::f32), | ||
| 1, | ||
| node)[0]; | ||
| w = set_13::detail::dequantize_linear(w, | ||
| w_scale, | ||
| std::make_shared<opset6::Convert>(w_zero_point, element::f32), | ||
| 1, | ||
| node)[0]; | ||
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| if (!ngraph::op::is_null(B)) { | ||
| B = std::make_shared<opset6::Multiply>(std::make_shared<opset6::Convert>(B, x_scale.get_element_type()), | ||
| std::make_shared<opset6::Multiply>(x_scale, w_scale)) | ||
| ->output(0); | ||
| } | ||
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| auto result = detail::conv(node, x, w, B)[0]; | ||
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| result = op::detail::make_fake_quantize(y_scale, y_zero_point, result); | ||
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| return {result}; | ||
| } | ||
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| } // namespace set_1 | ||
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| } // namespace op | ||
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| } // namespace onnx_import | ||
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| } // namespace ngraph |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,31 @@ | ||
| // Copyright (C) 2018-2021 Intel Corporation | ||
| // SPDX-License-Identifier: Apache-2.0 | ||
| // | ||
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| // Disabled in CMakeList | ||
| // Update to higher opset required | ||
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| #pragma once | ||
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| #include "ngraph/node.hpp" | ||
| #include "onnx_import/core/node.hpp" | ||
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| namespace ngraph { | ||
| namespace onnx_import { | ||
| namespace op { | ||
| namespace set_1 { | ||
| /// \brief Performs ONNX QLinearConv operation. | ||
| /// | ||
| /// \param node The ONNX node object representing this operation. | ||
| /// | ||
| /// \return The vector containing Ngraph nodes producing output of ONNX quantizied | ||
| /// convolution operation. | ||
| OutputVector qlinear_conv(const Node& node); | ||
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| } // namespace set_1 | ||
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| } // namespace op | ||
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| } // namespace onnx_import | ||
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| } // namespace ngraph |
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