97 lines
3.2 KiB
Python
97 lines
3.2 KiB
Python
import pycutlass
|
|
from pycutlass import *
|
|
from pycutlass.test import *
|
|
import unittest
|
|
|
|
from pycutlass.test.gemm_testbed import test_all_gemm
|
|
from pycutlass.utils.device import device_cc
|
|
|
|
|
|
@unittest.skipIf(device_cc() < 80, "Device compute capability is insufficient for SM80 tests.")
|
|
class GemmBF16TensorOpSm80(unittest.TestCase):
|
|
def SM80_Device_Gemm_bf16n_bf16n_f32t_tensor_op_f32_64x128x64_32x64x64(self):
|
|
math_inst = MathInstruction(
|
|
instruction_shape=[16, 8, 16],
|
|
element_a=cutlass.bfloat16, element_b=cutlass.bfloat16,
|
|
element_accumulator=cutlass.float32, opcode_class=cutlass.OpClass.TensorOp,
|
|
math_operation=MathOperation.multiply_add
|
|
)
|
|
|
|
tile_description = TileDescription(
|
|
threadblock_shape=[64, 128, 64],
|
|
stages=4, warp_count=[2, 2, 1],
|
|
math_instruction=math_inst
|
|
)
|
|
|
|
A = TensorDescription(
|
|
element=cutlass.bfloat16, layout=cutlass.ColumnMajor,
|
|
alignment=8
|
|
)
|
|
B = TensorDescription(
|
|
element=cutlass.bfloat16, layout=cutlass.ColumnMajor,
|
|
alignment=8
|
|
)
|
|
C = TensorDescription(
|
|
element=cutlass.float32, layout=cutlass.RowMajor,
|
|
alignment=4
|
|
)
|
|
|
|
epilogue_functor = LinearCombination(
|
|
C.element, C.alignment,
|
|
math_inst.element_accumulator, cutlass.float32)
|
|
|
|
swizzling_functor = cutlass.IdentitySwizzle1
|
|
|
|
operation = GemmOperationUniversal(
|
|
arch=80, tile_description=tile_description,
|
|
A=A, B=B, C=C,
|
|
epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
|
|
)
|
|
|
|
self.assertTrue(test_all_gemm(operation, "universal"))
|
|
|
|
def test_SM80_Device_Gemm_bf16t_bf16t_bf16t_tensor_op_f32_128x256x64_64x64x64(self):
|
|
math_inst = MathInstruction(
|
|
instruction_shape=[16, 8, 16],
|
|
element_a=cutlass.bfloat16, element_b=cutlass.bfloat16,
|
|
element_accumulator=cutlass.float32, opcode_class=cutlass.OpClass.TensorOp,
|
|
math_operation=MathOperation.multiply_add
|
|
)
|
|
|
|
tile_description = TileDescription(
|
|
threadblock_shape=[64, 128, 32],
|
|
stages=6, warp_count=[2, 2, 1],
|
|
math_instruction=math_inst
|
|
)
|
|
|
|
A = TensorDescription(
|
|
element=cutlass.bfloat16, layout=cutlass.RowMajor,
|
|
alignment=8
|
|
)
|
|
B = TensorDescription(
|
|
element=cutlass.bfloat16, layout=cutlass.RowMajor,
|
|
alignment=8
|
|
)
|
|
C = TensorDescription(
|
|
element=cutlass.bfloat16, layout=cutlass.RowMajor,
|
|
alignment=8
|
|
)
|
|
|
|
epilogue_functor = LinearCombination(
|
|
C.element, C.alignment,
|
|
math_inst.element_accumulator, cutlass.float32)
|
|
|
|
swizzling_functor = cutlass.IdentitySwizzle1
|
|
|
|
operation = GemmOperationUniversal(
|
|
arch=80, tile_description=tile_description,
|
|
A=A, B=B, C=C,
|
|
epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
|
|
)
|
|
|
|
self.assertTrue(test_all_gemm(operation, "multistage"))
|
|
|
|
if __name__ == '__main__':
|
|
pycutlass.get_memory_pool(2**24, 2**24)
|
|
unittest.main()
|