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60 lines
2.0 KiB
C++
60 lines
2.0 KiB
C++
// Copyright (c) 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 <hipdnn_frontend/Types.hpp>
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#include <hipdnn_frontend/attributes/MatmulAttributes.hpp>
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#include <hipdnn_frontend/detail/DescriptorUnpackHelpers.hpp>
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#include <memory>
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#include <unordered_map>
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namespace hipdnn_frontend::detail
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{
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/// Unpacks a matmul operation from a backend operation descriptor.
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/// Populates the MatmulAttributes with tensors (using tensorMap for sharing)
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/// and the compute data type.
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[[nodiscard]] inline Error unpackMatmulOperation(
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hipdnnBackendDescriptor_t opDesc,
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std::unordered_map<int64_t, std::shared_ptr<graph::TensorAttributes>>& tensorMap,
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graph::MatmulAttributes& attributes)
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{
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// Unpack A tensor
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std::shared_ptr<graph::TensorAttributes> aTensor;
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HIPDNN_CHECK_ERROR(unpackAndRegisterTensor(
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opDesc, HIPDNN_ATTR_OPERATION_MATMUL_ADESC, tensorMap, aTensor, "matmul A tensor"));
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attributes.set_a(aTensor);
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// Unpack B tensor
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std::shared_ptr<graph::TensorAttributes> bTensor;
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HIPDNN_CHECK_ERROR(unpackAndRegisterTensor(
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opDesc, HIPDNN_ATTR_OPERATION_MATMUL_BDESC, tensorMap, bTensor, "matmul B tensor"));
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attributes.set_b(bTensor);
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// Unpack C tensor
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std::shared_ptr<graph::TensorAttributes> cTensor;
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HIPDNN_CHECK_ERROR(unpackAndRegisterTensor(
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opDesc, HIPDNN_ATTR_OPERATION_MATMUL_CDESC, tensorMap, cTensor, "matmul C tensor"));
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attributes.set_c(cTensor);
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// Unpack compute data type
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auto [dt, dtErr]
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= unpackGraphDataType(opDesc, HIPDNN_ATTR_MATMUL_COMP_TYPE, "matmul compute data type");
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if(dtErr.is_bad())
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{
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return dtErr;
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}
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attributes.set_compute_data_type(dt);
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// Unpack operation name
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std::string opName;
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HIPDNN_CHECK_ERROR(
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getDescriptorAttrString(opDesc, HIPDNN_ATTR_OPERATION_NAME_EXT, opName, "operation name"));
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attributes.set_name(opName);
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return {};
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}
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} // namespace hipdnn_frontend::detail
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