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98 lines
4.2 KiB
C++
98 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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#pragma once
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#include <hipdnn_frontend/attributes/BlockScaleQuantizeAttributes.hpp>
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#include <hipdnn_frontend/detail/DescriptorHelpers.hpp>
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namespace hipdnn_frontend::detail
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{
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// Builds a blockscalequantize operation descriptor from BlockScaleQuantizeAttributes.
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// Tensor descriptors are created/deduplicated via ensureAndSetTensorRef.
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inline Error createBlockScaleQuantizeOperation(
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const graph::BlockScaleQuantizeAttributes& attributes,
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std::unordered_map<int64_t, ScopedHipdnnBackendDescriptor>& tensorDescs,
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std::vector<ScopedHipdnnBackendDescriptor>& operations)
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{
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// Create operation descriptor
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ScopedHipdnnBackendDescriptor opDesc(HIPDNN_BACKEND_OPERATION_BLOCK_SCALE_QUANTIZE_DESCRIPTOR);
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if(!opDesc.valid())
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{
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return {ErrorCode::HIPDNN_BACKEND_ERROR,
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"Failed to create blockscalequantize operation descriptor"};
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}
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// Create tensor descriptors (if needed) and set them on the operation
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HIPDNN_CHECK_ERROR(ensureAndSetTensorRef(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_QUANTIZE_XDESC,
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attributes.get_x(),
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tensorDescs,
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"blockscalequantize X_EXT"));
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HIPDNN_CHECK_ERROR(ensureAndSetTensorRef(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_QUANTIZE_YDESC,
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attributes.get_y(),
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tensorDescs,
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"blockscalequantize Y_EXT"));
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HIPDNN_CHECK_ERROR(ensureAndSetTensorRef(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_QUANTIZE_SCALE_DESC,
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attributes.get_scale(),
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tensorDescs,
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"blockscalequantize SCALE_EXT"));
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// Set block scale quantize parameters
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if(!attributes.get_block_size().has_value())
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{
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return {ErrorCode::ATTRIBUTE_NOT_SET, "blockscalequantize block_size is required"};
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}
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const int32_t blockSize = attributes.get_block_size().value();
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HIPDNN_CHECK_ERROR(
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setDescriptorAttrScalar(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_QUANTIZE_BLOCK_SIZE,
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HIPDNN_TYPE_INT32,
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blockSize,
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"blockscalequantize block_size"));
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if(attributes.get_axis().has_value())
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{
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const int64_t axis = attributes.get_axis().value();
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HIPDNN_CHECK_ERROR(
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setDescriptorAttrScalar(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_QUANTIZE_AXIS_EXT,
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HIPDNN_TYPE_INT64,
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axis,
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"blockscalequantize axis"));
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}
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const bool transpose = attributes.get_transpose();
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HIPDNN_CHECK_ERROR(
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setDescriptorAttrScalar(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_QUANTIZE_TRANSPOSE_EXT,
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HIPDNN_TYPE_BOOLEAN,
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transpose,
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"blockscalequantize transpose"));
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HIPDNN_CHECK_ERROR(
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setDescriptorAttrDataType(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_QUANTIZE_MATH_PREC,
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attributes.compute_data_type,
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"blockscalequantize MATH_PREC"));
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// Set operation name
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const auto& opName = attributes.get_name();
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if(!opName.empty())
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{
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HIPDNN_CHECK_ERROR(setDescriptorAttrString(
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opDesc.get(), HIPDNN_ATTR_OPERATION_NAME_EXT, opName, "operation name"));
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}
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// Finalize operation descriptor
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HIPDNN_CHECK_ERROR(finalizeDescriptor(opDesc.get(), "blockscalequantize operation descriptor"));
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operations.push_back(std::move(opDesc));
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return {};
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}
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} // namespace hipdnn_frontend::detail
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