446 lines
15 KiB
Python
446 lines
15 KiB
Python
import pycutlass
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from pycutlass import *
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from pycutlass.test import *
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import unittest
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from pycutlass.test.gemm_testbed import test_all_gemm
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class GemmF16Sm80(unittest.TestCase):
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def test_SM80_Device_Gemm_f32t_f32n_f32t_tensor_op_bf16_f32_128x128x32_64x64x32(self):
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math_inst = MathInstruction(
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instruction_shape=[16, 8, 16],
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element_a=cutlass.float16, element_b=cutlass.float16,
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element_accumulator=cutlass.float32, opcode_class=cutlass.OpClass.TensorOp,
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math_operation=MathOperation.multiply_add
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)
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tile_description = TileDescription(
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threadblock_shape=[128, 128, 32],
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stages=3, warp_count=[2, 2, 1],
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math_instruction=math_inst
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)
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A = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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B = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=8
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)
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C = TensorDescription(
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element=cutlass.float32, layout=cutlass.ColumnMajor,
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alignment=4
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)
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element_epilogue = cutlass.float32
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epilogue_functor = LinearCombination(
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C.element, C.alignment,
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math_inst.element_accumulator, element_epilogue)
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swizzling_functor = cutlass.BatchedIdentitySwizzle
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operation = GemmOperationUniversal(
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arch=80, tile_description=tile_description,
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A=A, B=B, C=C,
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epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor,
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direct_store=True
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)
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self.assertTrue(test_all_gemm(operation, "universal"))
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def test_SM80_Device_Gemm_f16n_f16n_f16t_tensor_op_f32_128x128x64_64x64x64(self):
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math_inst = MathInstruction(
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instruction_shape=[16, 8, 16],
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element_a=cutlass.float16, element_b=cutlass.float16,
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element_accumulator=cutlass.float32, opcode_class=cutlass.OpClass.TensorOp,
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math_operation=MathOperation.multiply_add
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)
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tile_description = TileDescription(
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threadblock_shape=[128, 128, 64],
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stages=3, warp_count=[2, 2, 1],
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math_instruction=math_inst
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)
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A = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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B = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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C = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=8
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)
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element_epilogue = cutlass.float32
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epilogue_functor = LinearCombination(
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C.element, C.alignment,
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math_inst.element_accumulator, element_epilogue)
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swizzling_functor = cutlass.IdentitySwizzle1
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operation = GemmOperationUniversal(
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arch=80, tile_description=tile_description,
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A=A, B=B, C=C,
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epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
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)
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self.assertTrue(test_all_gemm(operation, "universal"))
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def test_SM80_Device_Gemm_f16n_f16n_f32n_tensor_op_f32_128x256x64_64x64x64(self):
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math_inst = MathInstruction(
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instruction_shape=[16, 8, 16],
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element_a=cutlass.float16, element_b=cutlass.float16,
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element_accumulator=cutlass.float32, opcode_class=cutlass.OpClass.TensorOp,
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math_operation=MathOperation.multiply_add
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)
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tile_description = TileDescription(
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threadblock_shape=[128, 256, 64],
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stages=3, warp_count=[2, 4, 1],
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math_instruction=math_inst
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)
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A = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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B = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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C = TensorDescription(
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element=cutlass.float32, layout=cutlass.ColumnMajor,
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alignment=4
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)
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element_epilogue = cutlass.float32
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epilogue_functor = LinearCombination(
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C.element, C.alignment,
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math_inst.element_accumulator, element_epilogue)
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swizzling_functor = cutlass.IdentitySwizzle1
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operation = GemmOperationUniversal(
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arch=80, tile_description=tile_description,
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A=A, B=B, C=C,
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epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
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)
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self.assertTrue(test_all_gemm(operation, "universal"))
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def test_SM80_Device_Gemm_f16n_f16n_f32t_tensor_op_f32_256x128x64_64x64x64(self):
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math_inst = MathInstruction(
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instruction_shape=[16, 8, 16],
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element_a=cutlass.float16, element_b=cutlass.float16,
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element_accumulator=cutlass.float32, opcode_class=cutlass.OpClass.TensorOp,
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math_operation=MathOperation.multiply_add
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)
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tile_description = TileDescription(
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threadblock_shape=[256, 128, 64],
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stages=3, warp_count=[4, 2, 1],
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math_instruction=math_inst
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)
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A = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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B = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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C = TensorDescription(
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element=cutlass.float32, layout=cutlass.RowMajor,
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alignment=4
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)
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element_epilogue = cutlass.float32
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epilogue_functor = LinearCombination(
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C.element, C.alignment,
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math_inst.element_accumulator, element_epilogue)
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swizzling_functor = cutlass.IdentitySwizzle1
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operation = GemmOperationUniversal(
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arch=80, tile_description=tile_description,
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A=A, B=B, C=C,
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epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
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)
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self.assertTrue(test_all_gemm(operation, "universal"))
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def test_SM80_Device_Gemm_f16n_f16t_f16t_tensor_op_f16_sliced_k_128x64x64_64x64x32(self):
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math_inst = MathInstruction(
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instruction_shape=[16, 8, 16],
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element_a=cutlass.float16, element_b=cutlass.float16,
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element_accumulator=cutlass.float16, opcode_class=cutlass.OpClass.TensorOp,
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math_operation=MathOperation.multiply_add
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)
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tile_description = TileDescription(
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threadblock_shape=[128, 64, 64],
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stages=3, warp_count=[2, 1, 1],
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math_instruction=math_inst
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)
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A = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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B = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=8
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)
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C = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=4
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)
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element_epilogue = cutlass.float16
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epilogue_functor = LinearCombination(
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C.element, C.alignment,
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math_inst.element_accumulator, element_epilogue)
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swizzling_functor = cutlass.IdentitySwizzle1
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operation = GemmOperationUniversal(
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arch=80, tile_description=tile_description,
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A=A, B=B, C=C,
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epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
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)
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self.assertTrue(test_all_gemm(operation, "universal"))
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def test_SM80_Device_GemmUniversal_f16n_f16t_f32t_tensor_op_f32_64x64x32_32x32x32(self):
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math_inst = MathInstruction(
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instruction_shape=[16, 8, 16],
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element_a=cutlass.float16, element_b=cutlass.float16,
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element_accumulator=cutlass.float16, opcode_class=cutlass.OpClass.TensorOp,
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math_operation=MathOperation.multiply_add
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)
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tile_description = TileDescription(
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threadblock_shape=[64, 64, 32],
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stages=10, warp_count=[2, 2, 1],
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math_instruction=math_inst
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)
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A = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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B = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=8
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)
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C = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=4
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)
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element_epilogue = cutlass.float16
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epilogue_functor = LinearCombination(
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C.element, C.alignment,
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math_inst.element_accumulator, element_epilogue)
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swizzling_functor = cutlass.IdentitySwizzle1
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operation = GemmOperationUniversal(
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arch=80, tile_description=tile_description,
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A=A, B=B, C=C,
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epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
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)
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self.assertTrue(test_all_gemm(operation, "universal"))
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def test_SM80_Device_Gemm_f16n_f16t_f32t_tensor_op_f32_256x128x64_64x64x64(self):
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math_inst = MathInstruction(
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instruction_shape=[16, 8, 16],
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element_a=cutlass.float16, element_b=cutlass.float16,
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element_accumulator=cutlass.float32, opcode_class=cutlass.OpClass.TensorOp,
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math_operation=MathOperation.multiply_add
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)
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tile_description = TileDescription(
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threadblock_shape=[256, 128, 64],
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stages=3, warp_count=[4, 2, 1],
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math_instruction=math_inst
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)
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A = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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B = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=8
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)
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C = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=8
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)
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element_epilogue = cutlass.float32
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epilogue_functor = LinearCombination(
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C.element, C.alignment,
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math_inst.element_accumulator, element_epilogue)
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swizzling_functor = cutlass.IdentitySwizzle1
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operation = GemmOperationUniversal(
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arch=80, tile_description=tile_description,
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A=A, B=B, C=C,
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epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
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)
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self.assertTrue(test_all_gemm(operation, "universal"))
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def test_test_SM80_Device_Gemm_f16t_f16n_f16t_tensor_op_f16_sliced_k_128x64x64_64x64x32(self):
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math_inst = MathInstruction(
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instruction_shape=[16, 8, 16],
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element_a=cutlass.float16, element_b=cutlass.float16,
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element_accumulator=cutlass.float32, opcode_class=cutlass.OpClass.TensorOp,
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math_operation=MathOperation.multiply_add
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)
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tile_description = TileDescription(
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threadblock_shape=[128, 64, 64],
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stages=3, warp_count=[2, 1, 1],
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math_instruction=math_inst
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)
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A = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=8
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)
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B = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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C = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=4
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)
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element_epilogue = cutlass.float32
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epilogue_functor = LinearCombination(
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C.element, C.alignment,
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math_inst.element_accumulator, element_epilogue)
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swizzling_functor = cutlass.IdentitySwizzle1
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operation = GemmOperationUniversal(
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arch=80, tile_description=tile_description,
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A=A, B=B, C=C,
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epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
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)
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self.assertTrue(test_all_gemm(operation, "universal"))
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def test_SM80_Device_Gemm_f16t_f16t_f32n_tensor_op_f32_128x256x64_64x64x64(self):
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math_inst = MathInstruction(
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instruction_shape=[16, 8, 16],
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element_a=cutlass.float16, element_b=cutlass.float16,
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element_accumulator=cutlass.float32, opcode_class=cutlass.OpClass.TensorOp,
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math_operation=MathOperation.multiply_add
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)
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tile_description = TileDescription(
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threadblock_shape=[128, 256, 64],
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stages=3, warp_count=[2, 4, 1],
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math_instruction=math_inst
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)
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A = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=8
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)
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B = TensorDescription(
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element=cutlass.float16, layout=cutlass.RowMajor,
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alignment=8
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)
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C = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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element_epilogue = cutlass.float32
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epilogue_functor = LinearCombination(
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C.element, C.alignment,
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math_inst.element_accumulator, element_epilogue)
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swizzling_functor = cutlass.IdentitySwizzle1
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operation = GemmOperationUniversal(
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arch=80, tile_description=tile_description,
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A=A, B=B, C=C,
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epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
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)
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self.assertTrue(test_all_gemm(operation, "universal"))
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def test_SM80_Device_Gemm_f16t_f16t_f32t_tensor_op_f32_128x256x64_64x64x64(self):
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math_inst = MathInstruction(
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instruction_shape=[16, 8, 16],
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element_a=cutlass.float16, element_b=cutlass.float16,
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element_accumulator=cutlass.float32, opcode_class=cutlass.OpClass.TensorOp,
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math_operation=MathOperation.multiply_add
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)
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tile_description = TileDescription(
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threadblock_shape=[128, 256, 64],
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stages=3, warp_count=[2, 4, 1],
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math_instruction=math_inst
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)
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A = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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B = TensorDescription(
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element=cutlass.float16, layout=cutlass.ColumnMajor,
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alignment=8
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)
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C = TensorDescription(
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element=cutlass.float32, layout=cutlass.ColumnMajor,
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alignment=4
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)
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element_epilogue = cutlass.float32
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epilogue_functor = LinearCombination(
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C.element, C.alignment,
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math_inst.element_accumulator, element_epilogue)
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swizzling_functor = cutlass.IdentitySwizzle1
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operation = GemmOperationUniversal(
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arch=80, tile_description=tile_description,
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A=A, B=B, C=C,
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epilogue_functor=epilogue_functor, swizzling_functor=swizzling_functor
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)
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self.assertTrue(test_all_gemm(operation, "universal"))
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if __name__ == '__main__':
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pycutlass.get_memory_pool(2**24, 2**24)
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unittest.main()
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