92 lines
3.6 KiB
Python
92 lines
3.6 KiB
Python
#################################################################################################
|
|
#
|
|
# Copyright (c) 2017 - 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: BSD-3-Clause
|
|
#
|
|
# Redistribution and use in source and binary forms, with or without
|
|
# modification, are permitted provided that the following conditions are met:
|
|
#
|
|
# 1. Redistributions of source code must retain the above copyright notice, this
|
|
# list of conditions and the following disclaimer.
|
|
#
|
|
# 2. Redistributions in binary form must reproduce the above copyright notice,
|
|
# this list of conditions and the following disclaimer in the documentation
|
|
# and/or other materials provided with the distribution.
|
|
#
|
|
# 3. Neither the name of the copyright holder nor the names of its
|
|
# contributors may be used to endorse or promote products derived from
|
|
# this software without specific prior written permission.
|
|
#
|
|
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
|
|
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
|
|
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
|
|
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
|
|
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
|
|
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
|
|
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
|
|
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
|
|
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
#
|
|
#################################################################################################
|
|
|
|
import pycutlass
|
|
from pycutlass import *
|
|
from pycutlass.test import *
|
|
from pycutlass.test.gemm_testbed import GemmUniversalLauncher
|
|
|
|
if __name__ == '__main__':
|
|
pycutlass.get_memory_pool(2**32, 2**32)
|
|
pycutlass.compiler.nvcc()
|
|
|
|
math_inst = MathInstruction(
|
|
instruction_shape=[16, 8, 16],
|
|
element_a=cutlass.float16, element_b=cutlass.float16,
|
|
element_accumulator=cutlass.float32, opcode_class=cutlass.OpClass.TensorOp,
|
|
math_operation=MathOperation.multiply_add
|
|
)
|
|
|
|
tile_description = TileDescription(
|
|
threadblock_shape=[256, 128, 32],
|
|
stages=3, warp_count=[4, 2, 1],
|
|
math_instruction=math_inst
|
|
)
|
|
|
|
A = TensorDescription(
|
|
element=cutlass.float16, layout=cutlass.RowMajor,
|
|
alignment=4
|
|
)
|
|
B = TensorDescription(
|
|
element=cutlass.float16, layout=cutlass.RowMajor,
|
|
alignment=4
|
|
)
|
|
C = TensorDescription(
|
|
element=cutlass.float32, layout=cutlass.ColumnMajor,
|
|
alignment=4
|
|
)
|
|
|
|
element_epilogue = cutlass.float32
|
|
|
|
epilogue_functor = LinearCombination(cutlass.float32, 4, cutlass.float32, cutlass.float32)
|
|
|
|
swizzling_functor = cutlass.IdentitySwizzle1
|
|
|
|
operation = GemmOperationUniversal(
|
|
arch=80, tile_description=tile_description,
|
|
A=A, B=B, C=C, element_epilogue=element_epilogue,
|
|
epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
|
|
)
|
|
|
|
profiler = GemmUniversalLauncher(operation, verification=False, profiling=True)
|
|
python_runtime = profiler.run(
|
|
mode=cutlass.gemm.Mode.Gemm,
|
|
problem_size=cutlass.gemm.GemmCoord(4096, 4096, 4096)
|
|
)
|
|
|
|
cpp_runtime = profiler.run_cutlass_profiler(
|
|
mode=cutlass.gemm.Mode.Gemm,
|
|
problem_size=cutlass.gemm.GemmCoord(4096, 4096, 4096),
|
|
)
|
|
|
|
print(cpp_runtime / python_runtime)
|