derek.holloway
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111 lines
4.7 KiB
C++
111 lines
4.7 KiB
C++
// Copyright © Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#pragma once
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#include <cstdint>
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#include <vector>
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#include <hipdnn_data_sdk/utilities/ShapeUtilities.hpp>
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#include <hipdnn_flatbuffers_sdk/data_objects/graph_generated.h>
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namespace hipdnn_integration_tests::test_utils
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{
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// Use the canonical implementation from data_sdk.
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using hipdnn_data_sdk::utilities::generateStrides;
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// Creates a minimal graph with a ConvolutionFwd node and separate input/output data types.
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// Uses symmetric padding (prePadding == postPadding == padding).
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// inputDataType applies to x and w tensors; outputDataType applies to y tensor.
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inline flatbuffers::FlatBufferBuilder
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createConvFwdGraph(int64_t xUid,
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int64_t wUid,
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int64_t yUid,
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const std::vector<int64_t>& xDims,
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const std::vector<int64_t>& wDims,
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const std::vector<int64_t>& yDims,
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const std::vector<int64_t>& xStrides,
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const std::vector<int64_t>& wStrides,
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const std::vector<int64_t>& yStrides,
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const std::vector<int64_t>& padding,
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const std::vector<int64_t>& convStride,
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const std::vector<int64_t>& dilation,
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hipdnn_flatbuffers_sdk::data_objects::DataType inputDataType,
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hipdnn_flatbuffers_sdk::data_objects::DataType outputDataType)
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{
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using namespace hipdnn_flatbuffers_sdk::data_objects;
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flatbuffers::FlatBufferBuilder builder;
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std::vector<flatbuffers::Offset<TensorAttributes>> tensors;
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tensors.push_back(
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CreateTensorAttributesDirect(builder, xUid, "x", inputDataType, &xStrides, &xDims));
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tensors.push_back(
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CreateTensorAttributesDirect(builder, wUid, "w", inputDataType, &wStrides, &wDims));
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tensors.push_back(
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CreateTensorAttributesDirect(builder, yUid, "y", outputDataType, &yStrides, &yDims));
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auto convAttrs = CreateConvolutionFwdAttributesDirect(builder,
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xUid,
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wUid,
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yUid,
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&padding,
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&padding,
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&convStride,
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&dilation,
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ConvMode::CROSS_CORRELATION);
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std::vector<flatbuffers::Offset<Node>> nodes;
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nodes.push_back(CreateNodeDirect(builder,
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"conv_fwd_node",
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DataType::FLOAT,
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NodeAttributes::ConvolutionFwdAttributes,
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convAttrs.Union()));
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auto graph = CreateGraphDirect(builder,
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"ConvFwdTestGraph",
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inputDataType,
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outputDataType,
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DataType::FLOAT,
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&tensors,
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&nodes);
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builder.Finish(graph);
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return builder;
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}
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// Convenience overload: single dataType used for all tensors (x, w, and y).
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inline flatbuffers::FlatBufferBuilder
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createConvFwdGraph(int64_t xUid,
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int64_t wUid,
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int64_t yUid,
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const std::vector<int64_t>& xDims,
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const std::vector<int64_t>& wDims,
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const std::vector<int64_t>& yDims,
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const std::vector<int64_t>& xStrides,
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const std::vector<int64_t>& wStrides,
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const std::vector<int64_t>& yStrides,
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const std::vector<int64_t>& padding,
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const std::vector<int64_t>& convStride,
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const std::vector<int64_t>& dilation,
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hipdnn_flatbuffers_sdk::data_objects::DataType dataType)
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{
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return createConvFwdGraph(xUid,
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wUid,
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yUid,
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xDims,
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wDims,
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yDims,
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xStrides,
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wStrides,
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yStrides,
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padding,
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convStride,
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dilation,
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dataType,
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dataType);
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}
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} // namespace hipdnn_integration_tests::test_utils
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