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https://github.com/ROCm/composable_kernel.git
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18e083003f
* Add DirectLoad tparam & clean up headers. * Add convolution traits. * Update inline documentation. * Add more convolution specialization and gemm padding types. * Add additional helper functions & more tests to conv traits. * Fix tests cmake file. * Add case insensitive string comparison * Fix function name overlapping with variable name. * Unify pipeline version and scheduler enums. * Fix includes. * Update test conv traits with unified enums. * Update concepts etc with update unified enum * Fix ckb conv fwd test - unified enum usage. * Dump changes. * Add ostream overloads for all enum classes. * Update detailed() function in ConvDescription * Fix handling union based conv direction. * Add test & update conv description. * Refine tree view. * Update copyrights * Fix merge artifacts * Update detailed tree conv description * Fix clang-format
170 lines
9.2 KiB
C++
170 lines
9.2 KiB
C++
// SPDX-License-Identifier: MIT
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// Copyright (c) Advanced Micro Devices, Inc. All rights reserved.
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#include <gtest/gtest.h>
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#include <gmock/gmock.h>
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#include <ck_tile/builder/conv_builder.hpp>
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#include <ck_tile/builder/reflect/conv_description.hpp>
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#include "testing_utils.hpp"
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#include "impl/conv_signature_types.hpp"
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#include "impl/conv_algorithm_types.hpp"
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namespace {
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namespace ckb = ck_tile::builder;
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namespace ckr = ck_tile::reflect::conv;
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namespace ckt = ck_tile::test;
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// Defines the signature of the convolution operation to be tested.
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// This includes dimensionality, direction, data layout, and data type.
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struct ConvSignature
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{
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int spatial_dim = 2;
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ckb::ConvDirection direction = ckb::ConvDirection::FORWARD;
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ckb::GroupConvLayout layout = ckb::GroupConvLayout2D::GNHWC_GKYXC_GNHWK;
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ckb::DataType data_type = ckb::DataType::FP16;
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ckb::ElementwiseOperation elementwise_operation = ckb::ElementwiseOperation::PASS_THROUGH;
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ckb::GroupConvDeviceOp device_operation =
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ckb::FwdGroupConvDeviceOperation::DeviceGroupedConvFwdMultipleABD_Xdl_CShuffle_V3;
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};
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static_assert(ckb::ConvSignatureDescriptor<ConvSignature>);
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struct DefaultAlgorithm
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{
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ckb::test::ThreadBlock thread_block{.block_size = 256,
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.tile_size = {.m = 256, .n = 256, .k = 32}};
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ckb::test::GridwiseXdlGemm gridwise_gemm{.ak1 = 8,
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.bk1 = 8,
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.m_per_xdl = 16,
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.n_per_xdl = 16,
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.m_xdl_per_wave = 4,
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.n_xdl_per_wave = 4};
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ckb::test::BlockTransferABC block_transfer{
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.block_transfer_a = {.k0 = 4, .m_n = 256, .k1 = 8},
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.block_transfer_b = {.k0 = 4, .m_n = 256, .k1 = 8},
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.thread_cluster_dims_c = {.m_block = 1,
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.m_wave_per_xdl = 32,
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.n_block = 1,
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.n_wave_per_xdl = 8},
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.lds_transfer_a = {.src_vector_dim = 2,
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.src_scalar_per_vector = 8,
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.lds_dst_scalar_per_vector = 8,
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.is_direct_load = true,
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.lds_padding = false},
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.lds_transfer_b = {.src_vector_dim = 2,
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.src_scalar_per_vector = 8,
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.lds_dst_scalar_per_vector = 8,
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.is_direct_load = true,
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.lds_padding = false},
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.epilogue_c = {.m_per_wave_per_shuffle = 1,
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.n_per_wave_per_shuffle = 1,
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.scalar_per_vector = 8},
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.block_transfer_access_order_a = {.order = {0, 1, 2}},
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.block_transfer_access_order_b = {.order = {0, 1, 2}},
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.src_access_order_a = {.order = {0, 1, 2}},
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.src_access_order_b = {.order = {0, 1, 2}}};
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ckb::ConvFwdSpecialization fwd_specialization = ckb::ConvFwdSpecialization::DEFAULT;
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ckb::GemmSpecialization gemm_specialization = ckb::GemmSpecialization::Default;
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ckb::test::BlockGemm block_gemm{.pipeline_version = ckb::PipelineVersion::V4,
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.scheduler = ckb::PipelineScheduler::INTRAWAVE};
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};
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static_assert(ckb::ConvAlgorithmDescriptor<DefaultAlgorithm>);
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TEST(ConvDescriptionTest, DefaultInstanceHasBriefDescription)
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{
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static constexpr const ConvSignature SIGNATURE;
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static constexpr const DefaultAlgorithm ALGORITHM;
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using Builder = ckb::ConvBuilder<SIGNATURE, ALGORITHM>;
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EXPECT_THAT(ckr::Describe<Builder>().brief(), ckt::StringEqWithDiff("2D Forward convolution"));
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}
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TEST(ConvDescriptionTest, DefaultInstanceHasDetailedDescription)
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{
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static constexpr const ConvSignature SIGNATURE;
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static constexpr const DefaultAlgorithm ALGORITHM;
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using Builder = ckb::ConvBuilder<SIGNATURE, ALGORITHM>;
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EXPECT_THAT(ckr::Describe<Builder>().detailed(),
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ckt::StringEqWithDiff( //
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"2D Forward Convolution Kernel\n"
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"├─ Signature\n"
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"│ ├─ Tensor Type: FP16\n"
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"│ ├─ Memory Layout: GNHWC_GKYXC_GNHWK\n"
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"│ ├─ Input elementwise operation: PASS_THROUGH\n"
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"│ ├─ Weights elementwise operation: PASS_THROUGH\n"
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"│ └─ Output elementwise operation: PASS_THROUGH\n"
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"├─ Algorithm\n"
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"│ ├─ Thread block size: 256\n"
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"│ ├─ Data tile size: 256×256×32\n"
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"│ ├─ Gemm padding: DEFAULT\n"
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"│ ├─ Convolution specialization: DEFAULT\n"
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"│ ├─ Pipeline version: V4\n"
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"│ ├─ Pipeline scheduler: INTRAWAVE\n"
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"│ ├─ Warp Gemm parameters: \n"
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"│ │ ├─ subtile size: 16×16\n"
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"│ │ └─ Number of warp gemm iterations: 4×4\n"
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"│ ├─ Memory access:\n"
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"│ │ ├─ A Tile transfer: \n"
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"│ │ │ ├─ Tile dimensions: 4×256×8×\n"
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"│ │ │ ├─ The innermost K subdimension size: 8\n"
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"│ │ │ ├─ Spatial thread distribution over the data tile: 0×1×2\n"
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"│ │ │ ├─ The order of accessing data tile axes: 0×1×2\n"
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"│ │ │ ├─ Vectorized memory access axis index (with contiguous memory): 2\n"
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"│ │ │ ├─ Vector access (GMEM read) instruction size: 8\n"
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"│ │ │ ├─ Vector access (LDS write) instruction size: 8\n"
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"│ │ │ └─ LDS data layout padding (to prevent bank conflicts): 8\n"
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"│ │ ├─ B Tile transfer: \n"
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"│ │ │ ├─ Tile dimensions: 4×256×8×\n"
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"│ │ │ ├─ The innermost K subdimension size: 8\n"
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"│ │ │ ├─ Spatial thread distribution over the data tile: 0×1×2\n"
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"│ │ │ ├─ The order of accessing data tile axes: 0×1×2\n"
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"│ │ │ ├─ Vectorized memory access axis index (with contiguous memory): 2\n"
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"│ │ │ ├─ Vector access (GMEM read) instruction size: 8\n"
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"│ │ │ ├─ Vector access (LDS write) instruction size: 8\n"
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"│ │ │ └─ LDS data layout padding (to prevent bank conflicts): 8\n"
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"│ │ └─ C Tile transfer: \n"
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"│ │ ├─ Data shuffle (number of gemm instructions per iteration): 1×1\n"
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"│ │ ├─ Spatial thread distribution used to store data: 1×32×1×8\n"
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"│ │ └─ Vector access (GMEM write) instruction size: 8\n"
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"│ └─ \n"
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"└─ "));
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}
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// NOTE: BackwardDataInstanceHasDetailedDescription test is disabled because ConvFactory
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// does not have a specialization for backward data convolutions. The test fails with:
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// "implicit instantiation of undefined template 'ck_tile::builder::ConvFactory<...>'"
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//
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// To enable this test, a ConvFactory specialization for backward data operations must be
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// implemented first.
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//
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// TEST(ConvDescriptionTest, BackwardDataInstanceHasDetailedDescription)
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// {
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// struct BackwardDataSignature
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// {
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// int spatial_dim = 2;
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// ckb::ConvDirection direction = ckb::ConvDirection::BACKWARD_DATA;
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// ckb::GroupConvLayout layout = ckb::GroupConvLayout2D::GNHWC_GKYXC_GNHWK;
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// ckb::DataType data_type = ckb::DataType::FP16;
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// ckb::ElementwiseOperation elementwise_operation =
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// ckb::ElementwiseOperation::PASS_THROUGH; ckb::GroupConvDeviceOp device_operation =
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// ckb::BwdDataGroupConvDeviceOperation::DeviceGroupedConvBwdDataMultipleD_Xdl_CShuffle_v1;
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// };
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// static_assert(ckb::ConvSignatureDescriptor<BackwardDataSignature>);
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//
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// static constexpr const BackwardDataSignature SIGNATURE;
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// static constexpr const DefaultAlgorithm ALGORITHM;
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// using Builder = ckb::ConvBuilder<SIGNATURE, ALGORITHM>;
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//
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// // Verify Brief works
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// EXPECT_THAT(ckr::Describe<Builder>().brief(),
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// ckt::StringEqWithDiff("2D Backward Data convolution"));
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//
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// // Verify detailed works - to be updated once ConvFactory is implemented
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// EXPECT_THAT(ckr::Describe<Builder>().detailed(),
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// ckt::StringEqWithDiff("PLACEHOLDER"));
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// }
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} // namespace
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