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129 lines
4.2 KiB
C++
129 lines
4.2 KiB
C++
// Copyright © Advanced Micro Devices, Inc., or its affiliates.
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// SPDX-License-Identifier: MIT
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#include "HipblasltMatrixLayout.hpp"
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#include "HipblasltUtils.hpp"
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#include <hipdnn_plugin_sdk/PluginException.hpp>
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namespace hipblaslt_plugin
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{
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HipblasltMatrixLayout::HipblasltMatrixLayout(
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const hipdnn_flatbuffers_sdk::flatbuffer_utilities::TensorAttributesWrapper& tensor)
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: _uid(tensor.uid())
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{
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const auto& dims = tensor.dims();
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const auto& strides = tensor.strides();
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const auto rank = dims.size();
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PLUGIN_THROW_IF_TRUE(rank < 2,
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HIPDNN_PLUGIN_STATUS_BAD_PARAM,
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"Tensor rank must be at least 2 for matrix layout. UID: "
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+ std::to_string(_uid));
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// Different types of matrices require different initialization of layout:
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// - If this is column-major matrix (strides[rank-2] == 1):
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// we need to use the dimensions and the strides as-is since hipBLASLT expects column-major layout.
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// - If this is row-major matrix (strides[rank-1] == 1):
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// we need to swap the dimensions and the strides.
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uint64_t rows;
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uint64_t cols;
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int64_t ld;
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if(strides[rank - 1] == 1) // row-major matrix
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{
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rows = static_cast<uint64_t>(dims[rank - 1]);
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cols = static_cast<uint64_t>(dims[rank - 2]);
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ld = strides[rank - 2]; // row stride
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}
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else if(strides[strides.size() - 2] == 1) // column-major matrix
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{
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rows = static_cast<uint64_t>(dims[rank - 2]);
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cols = static_cast<uint64_t>(dims[rank - 1]);
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ld = strides[rank - 1]; // column stride
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}
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else
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{
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throw hipdnn_plugin_sdk::HipdnnPluginException(
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HIPDNN_PLUGIN_STATUS_BAD_PARAM,
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"Unsupported matrix: only column major and row major matrices are supported");
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}
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THROW_ON_HIPBLASLT_FAILURE(
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hipblasLtMatrixLayoutCreate(&_matrixLayout,
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hipblaslt_utils::tensorDataTypeToHipDataType(tensor.dataType()),
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rows,
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cols,
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ld));
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}
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HipblasltMatrixLayout::HipblasltMatrixLayout(hipDataType dataType,
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uint64_t rows,
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uint64_t cols,
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int64_t ld)
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{
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THROW_ON_HIPBLASLT_FAILURE(
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hipblasLtMatrixLayoutCreate(&_matrixLayout, dataType, rows, cols, ld));
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}
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HipblasltMatrixLayout::HipblasltMatrixLayout(HipblasltMatrixLayout&& other) noexcept
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: _uid(other._uid)
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, _matrixLayout(other._matrixLayout)
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{
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other._matrixLayout = nullptr;
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}
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HipblasltMatrixLayout& HipblasltMatrixLayout::operator=(HipblasltMatrixLayout&& other) noexcept
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{
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if(this != &other)
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{
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if(_matrixLayout != nullptr)
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{
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LOG_ON_HIPBLASLT_FAILURE(hipblasLtMatrixLayoutDestroy(_matrixLayout));
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}
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_uid = other._uid;
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_matrixLayout = other._matrixLayout;
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other._matrixLayout = nullptr;
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}
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return *this;
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}
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HipblasltMatrixLayout::~HipblasltMatrixLayout()
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{
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if(_matrixLayout != nullptr)
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{
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LOG_ON_HIPBLASLT_FAILURE(hipblasLtMatrixLayoutDestroy(_matrixLayout));
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}
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}
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int64_t HipblasltMatrixLayout::uid() const
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{
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return _uid;
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}
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hipblasLtMatrixLayout_t HipblasltMatrixLayout::matrixLayout() const
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{
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return _matrixLayout;
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}
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void HipblasltMatrixLayout::setBatchCount(int64_t count)
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{
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PLUGIN_THROW_IF_NULL(_matrixLayout,
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HIPDNN_PLUGIN_STATUS_INTERNAL_ERROR,
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"Failed to set batch count: matrixLayout is nullptr");
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THROW_ON_HIPBLASLT_FAILURE(hipblasLtMatrixLayoutSetAttribute(
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_matrixLayout, HIPBLASLT_MATRIX_LAYOUT_BATCH_COUNT, &count, sizeof(count)));
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}
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void HipblasltMatrixLayout::setStridedBatchOffset(int64_t stride)
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{
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PLUGIN_THROW_IF_NULL(_matrixLayout,
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HIPDNN_PLUGIN_STATUS_INTERNAL_ERROR,
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"Failed to set strided batch offset: matrixLayout is nullptr");
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THROW_ON_HIPBLASLT_FAILURE(hipblasLtMatrixLayoutSetAttribute(
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_matrixLayout, HIPBLASLT_MATRIX_LAYOUT_STRIDED_BATCH_OFFSET, &stride, sizeof(stride)));
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}
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} // namespace hipblaslt_plugin
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