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87 lines
3.9 KiB
C++
87 lines
3.9 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/BlockScaleDequantizeAttributes.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 block scale dequantize operation descriptor from BlockScaleDequantizeAttributes.
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// Tensor descriptors are created/deduplicated via ensureAndSetTensorRef.
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inline Error createBlockScaleDequantizeOperation(
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const graph::BlockScaleDequantizeAttributes& 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(
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HIPDNN_BACKEND_OPERATION_BLOCK_SCALE_DEQUANTIZE_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 block scale dequantize 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_DEQUANTIZE_XDESC,
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attributes.get_x(),
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tensorDescs,
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"block_scale_dequantize X"));
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HIPDNN_CHECK_ERROR(
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ensureAndSetTensorRef(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_DEQUANTIZE_SCALE_DESC,
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attributes.get_scale(),
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tensorDescs,
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"block_scale_dequantize SCALE"));
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HIPDNN_CHECK_ERROR(ensureAndSetTensorRef(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_DEQUANTIZE_YDESC,
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attributes.get_y(),
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tensorDescs,
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"block_scale_dequantize Y"));
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// Set block_size as int32 (matches backend and FBS schema type)
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HIPDNN_CHECK_ERROR(setDescriptorAttrVec(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_DEQUANTIZE_BLOCK_SIZE,
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HIPDNN_TYPE_INT32,
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attributes.get_block_size(),
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"block_scale_dequantize block_size"));
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// Set is_negative_scale
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HIPDNN_CHECK_ERROR(
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setDescriptorAttrScalar(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_DEQUANTIZE_NEG_SCALE,
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HIPDNN_TYPE_BOOLEAN,
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attributes.get_is_negative_scale(),
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"block_scale_dequantize is_negative_scale"));
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// Set compute data type
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HIPDNN_CHECK_ERROR(
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setDescriptorAttrDataType(opDesc.get(),
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HIPDNN_ATTR_OPERATION_BLOCK_SCALE_DEQUANTIZE_MATH_PREC,
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attributes.compute_data_type,
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"block_scale_dequantize compute data type"));
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// Set operation name if provided
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auto& opName = attributes.get_name();
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if(!opName.empty())
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{
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HIPDNN_CHECK_ERROR(setDescriptorAttrString(opDesc.get(),
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HIPDNN_ATTR_OPERATION_NAME_EXT,
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opName,
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"block scale dequantize operation name"));
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}
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// Finalize operation descriptor
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HIPDNN_CHECK_ERROR(
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finalizeDescriptor(opDesc.get(), "block_scale_dequantize 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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