Cutlass 1.3 Release (#42)
CUTLASS 1.3 Release - Efficient GEMM kernel targeting Volta Tensor Cores via mma.sync instruction added in CUDA 10.1.
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# Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
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# Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
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#
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# Redistribution and use in source and binary forms, with or without modification, are permitted
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# provided that the following conditions are met:
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/***************************************************************************************************
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* Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
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* Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
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* provided that the following conditions are met:
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#include "cutlass/gemm/gemm.h"
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#include "cutlass/gemm/sgemm_traits.h"
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#pragma warning( disable : 4503)
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/*
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This example demonstrates how to use cutlass to compute a batched strided gemm.
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In this example, both A and B matrix are non-transpose and column major matrix
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