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Adding OpGen backend to develop #330
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| # Makefile for the Ascend examples | ||
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| .PHONY: all | ||
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| all: | ||
| ascendcc -b 910B -c -o op.o op.cpp | ||
| ascendcc -I/home/yzelman/Packages/CANN/samples/cplusplus/level1_single_api/4_op_dev/6_ascendc_custom_op/kernel_invocation/kernel_template/ -b 910B -c -o op_host.o ../examples/ascend_host.cpp | ||
| ascendcc -o main.exe op.o op_host.o | ||
| LD_LIBRARY_PATH=/home/yzelman/Packages/CANN/x86_64/ascend-toolkit/latest/x86_64-linux/lib64/:/home/yzelman/Packages/CANN/x86_64/ascend-toolkit/latest/x86_64-linux/devlib/x86_64/ ./main.exe | ||
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| /* | ||
| * Copyright 2021 Huawei Technologies Co., Ltd. | ||
| * | ||
| * Licensed under the Apache License, Version 2.0 (the "License"); | ||
| * you may not use this file except in compliance with the License. | ||
| * You may obtain a copy of the License at | ||
| * | ||
| * http://www.apache.org/licenses/LICENSE-2.0 | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, | ||
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| * See the License for the specific language governing permissions and | ||
| * limitations under the License. | ||
| */ | ||
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| #include <iostream> | ||
| #include <sstream> | ||
| #include <vector> | ||
| #define DEBUG | ||
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| #include <alpAscend.hpp> | ||
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| using namespace alp; | ||
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| // alp::Grid< 1, 4 > note: | ||
| // - Thread dimensionality = 1, means that the 1D thread grid maps to first | ||
| // axis of the problem grid. A refinement of this API may make this | ||
| // configurable. | ||
| template < typename GridType > | ||
| void ascend_code( const GridType &grid, RC &rc ) { | ||
| rc = alp::RC::FAILED; | ||
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| Tensor Sin( alp::Datatype::FP16, make_axes( 0, 1, 2, 3 ) ); | ||
| Tensor Sout( alp::Datatype::FP16, make_axes( 0, 1, 2, 3 ) ); | ||
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| rc = grid.forEach( make_axes( 0 ), [ & ] () { | ||
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| auto S_block_in_ub = getView( Sin ); // T(1,2,3) | ||
| auto S_block_out_ub = getView( Sout ); // T(1,2,3) | ||
| Tensor localTensor_ub( alp::Datatype::FP16, make_axes( 1, 2 ) ); // T(1,2) | ||
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| rc = grid.forEach( make_axes( 1 ), [ & ] () { | ||
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| auto S_block_in = getView( S_block_in_ub ); // T(2,3) | ||
| auto S_block_out = getView( S_block_out_ub ); // T(2,3) | ||
| auto localTensor = getView( localTensor_ub ); // T(2) | ||
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| // T(2) T(2,3) | ||
| apply( localTensor, S_block_in, "max", make_axes( 3 ) ); | ||
| // T(2,3) T(2,3) T(2) | ||
| apply( S_block_out, S_block_in, localTensor, "minus", make_axes( 3 ) ); | ||
| // T(2,3) | ||
| foldl( S_block_out, "exp" ); | ||
| // T(2) T(2,3) | ||
| apply( localTensor, S_block_out, "add", make_axes( 3 ) ); | ||
| // T(2,3) T(2) | ||
| foldl( S_block_out, localTensor, "divide", make_axes( 3 ) ); | ||
| // T(2,3) | ||
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| } ); | ||
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| store( S_block_out ); | ||
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| } ); | ||
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| return; | ||
| } | ||
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| int main( int argc, char ** argv ) { | ||
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| // default options | ||
| bool printUsage = false; | ||
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| // input error checking | ||
| if( argc > 1 ) { | ||
| printUsage = true; | ||
| } | ||
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| // print help on error | ||
| if( printUsage ) { | ||
| std::cerr << "Usage: " << argv[ 0 ] << "\n"; | ||
| return 10; | ||
| } | ||
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| // start opgen | ||
| std::cout << "//This is AscendOpGen example " << argv[ 0 ] << "\n"; | ||
| alp::RC error_code = alp::RC::SUCCESS; | ||
| try { | ||
| error_code = alp::compile< 1, 4 >( ascend_code, "KernelSoftmax" ); | ||
| } catch( std::exception &e ) { | ||
| std::cerr << "alp::compile threw error: " << e.what() << "\n"; | ||
| return 20; | ||
| } | ||
| if( error_code != alp::RC::SUCCESS ) { | ||
| std::cerr << std::flush; | ||
| std::cout << "Codegen FAILED (" << alp::toString( error_code ) << ")" | ||
| << std::endl; | ||
| return 30; | ||
| } else { | ||
| std::cout << "//Codegen OK" << std::endl; | ||
| return 0; | ||
| } | ||
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| } | ||
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Why was this bump (C++11 to C++14) needed actually @aristeidis-mastoras ?