376 lines
11 KiB
CMake
376 lines
11 KiB
CMake
# Copyright (c) 2017-2021, 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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# * Redistributions of source code must retain the above copyright notice, this list of
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# conditions and the following disclaimer.
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# * Redistributions in binary form must reproduce the above copyright notice, this list of
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# conditions and the following disclaimer in the documentation and/or other materials
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# provided with the distribution.
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# * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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# to endorse or promote products derived from this software without specific prior written
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# permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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# FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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# STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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add_custom_target(
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cutlass_test_unit_gemm_device
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DEPENDS
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cutlass_test_unit_gemm_device_simt
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cutlass_test_unit_gemm_device_tensorop_sm70
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cutlass_test_unit_gemm_device_tensorop_sm75
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cutlass_test_unit_gemm_device_tensorop_f16_sm80
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cutlass_test_unit_gemm_device_tensorop_f32_sm80
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cutlass_test_unit_gemm_device_tensorop_f32_tf32_sm80
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cutlass_test_unit_gemm_device_tensorop_f64
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cutlass_test_unit_gemm_device_tensorop_s32_sm80
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cutlass_test_unit_gemm_device_wmma
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cutlass_test_unit_gemm_device_tensorop_planar_complex
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cutlass_test_unit_gemm_device_sparse_tensorop_sm80
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cutlass_test_unit_gemv_device
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)
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add_custom_target(
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test_unit_gemm_device
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DEPENDS
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test_unit_gemm_device_simt
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test_unit_gemm_device_tensorop_sm70
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test_unit_gemm_device_tensorop_sm75
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test_unit_gemm_device_tensorop_f16_sm80
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test_unit_gemm_device_tensorop_f32_sm80
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test_unit_gemm_device_tensorop_f32_tf32_sm80
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test_unit_gemm_device_tensorop_f64
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test_unit_gemm_device_tensorop_s32_sm80
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test_unit_gemm_device_wmma
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test_unit_gemm_device_tensorop_planar_complex
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test_unit_gemm_device_sparse_tensorop_sm80
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test_unit_gemv_device
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_simt
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BATCH_SOURCES ON
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BATCH_SIZE 4
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simt_sgemm_nt_sm80.cu
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simt_sgemm_tn_sm80.cu
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simt_cgemm_nn_sm50.cu
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simt_cgemm_nt_sm50.cu
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simt_cgemm_tn_sm50.cu
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simt_cgemm_tt_sm50.cu
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simt_qgemm_nn_sm50.cu
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simt_qgemm_nt_sm50.cu
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simt_qgemm_tn_sm50.cu
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simt_qgemm_tt_sm50.cu
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simt_dgemm_nn_sm50.cu
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simt_dgemm_nt_sm50.cu
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simt_dgemm_tn_sm50.cu
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simt_dgemm_tt_sm50.cu
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simt_hgemm_nn_sm50.cu
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simt_hgemm_nt_sm50.cu
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simt_hgemm_tn_sm50.cu
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simt_hgemm_tt_sm50.cu
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simt_igemm_nn_sm50.cu
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simt_igemm_nt_sm50.cu
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simt_igemm_tn_sm50.cu
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simt_igemm_tt_sm50.cu
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simt_int8_igemm_sm61_sliced_k.cu
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simt_int8_igemm_sm61.cu
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simt_sgemm_nn_sm50.cu
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simt_sgemm_nt_sm50.cu
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simt_sgemm_tn_sm50.cu
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simt_sgemm_tt_sm50.cu
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simt_zgemm_nn_sm50.cu
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simt_zgemm_nt_sm50.cu
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simt_zgemm_tn_sm50.cu
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simt_zgemm_tt_sm50.cu
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gemm_splitk_simt_sm50.cu
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_tensorop_sm70
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BATCH_SOURCES ON
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BATCH_SIZE 4
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gemm_f16n_f16n_f32t_volta_tensor_op_f32_sm70.cu
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gemm_f16n_f16t_f32t_volta_tensor_op_f32_sm70.cu
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gemm_f16t_f16n_f32t_volta_tensor_op_f32_sm70.cu
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gemm_f16t_f16t_f32t_volta_tensor_op_f32_sm70.cu
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gemm_f16n_f16n_f16t_volta_tensor_op_f32_sm70.cu
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gemm_f16n_f16t_f16t_volta_tensor_op_f16_sm70.cu
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gemm_f16t_f16n_f16t_volta_tensor_op_f16_sm70.cu
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gemm_splitk_tensor_op_sm70.cu
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_tensorop_sm75
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BATCH_SOURCES ON
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BATCH_SIZE 4
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gemm_universal_f16n_f16t_f32t_tensor_op_f32_sm75.cu
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gemm_f16t_f16n_f16t_tensor_op_f16_sm75.cu
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gemm_f16n_f16t_f16t_tensor_op_f16_sm75.cu
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gemm_f16n_f16t_f16t_tensor_op_f16_slicedk_sm75.cu
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gemm_f16t_f16n_f16t_tensor_op_f16_slicedk_sm75.cu
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gemm_f16n_f16n_f16t_tensor_op_f32_sm75.cu
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gemm_f16n_f16n_f32t_tensor_op_f32_sm75.cu
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gemm_f16n_f16t_f32t_tensor_op_f32_sm75.cu
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gemm_f16t_f16n_f32t_tensor_op_f32_sm75.cu
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gemm_f16t_f16t_f32t_tensor_op_f32_sm75.cu
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gemm_f16n_f16n_f32n_tensor_op_f32_sm75.cu
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gemm_f16t_f16t_f32n_tensor_op_f32_sm75.cu
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gemm_s8n_s8t_s8n_tensor_op_s32_sm75.cu
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gemm_s8t_s8n_s32t_tensor_op_s32_sm75.cu
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gemm_s8t_s8n_s32n_tensor_op_s32_sm75.cu
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gemm_s8t_s8n_s8t_tensor_op_s32_sm75.cu
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gemm_s8t_s8n_s8n_tensor_op_s32_sm75.cu
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gemm_s4n_s4t_s4n_tensor_op_s32_sm75.cu
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gemm_s4t_s4n_s32t_tensor_op_s32_sm75.cu
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gemm_s4t_s4n_s32n_tensor_op_s32_sm75.cu
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gemm_b1t_b1n_s32t_tensor_op_s32_sm75.cu
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gemm_b1t_b1n_s32n_tensor_op_s32_sm75.cu
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gemm_splitk_serial_tensor_op_sm75.cu
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gemm_splitk_tensor_op_sm75.cu
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_tensorop_f16_sm80
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BATCH_SOURCES ON
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BATCH_SIZE 4
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gemm_f16t_f16n_f16t_tensor_op_f16_slicedk_sm80.cu
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gemm_f16n_f16t_f16t_tensor_op_f16_slicedk_sm80.cu
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_tensorop_f32_sm80
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BATCH_SOURCES ON
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BATCH_SIZE 4
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gemm_f16n_f16n_f16t_tensor_op_f32_sm80.cu
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gemm_f16n_f16n_f32n_tensor_op_f32_sm80.cu
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gemm_f16n_f16n_f32t_tensor_op_f32_sm80.cu
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gemm_f16n_f16t_f16t_tensor_op_f16_sm80.cu
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gemm_f16n_f16t_f32t_tensor_op_f32_sm80.cu
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gemm_f16t_f16n_f16t_tensor_op_f16_sm80.cu
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gemm_f16t_f16n_f32t_tensor_op_f32_sm80.cu
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gemm_f16t_f16t_f32n_tensor_op_f32_sm80.cu
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gemm_f16t_f16t_f32t_tensor_op_f32_sm80.cu
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gemm_bf16n_bf16n_f32t_tensor_op_f32_sm80.cu
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gemm_bf16t_bf16t_bf16t_tensor_op_f32_sm80.cu
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_tensorop_f32_tf32_sm80
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BATCH_SOURCES ON
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BATCH_SIZE 4
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gemm_tf32t_tf32n_f32t_tensor_op_f32_sm80.cu
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gemm_tf32n_tf32t_f32t_tensor_op_f32_sm80.cu
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gemm_tf32n_tf32n_f32t_tensor_op_f32_sm80.cu
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gemm_tf32t_tf32t_f32t_tensor_op_f32_sm80.cu
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gemm_universal_cf32n_cf32n_cf32n_tensor_op_f32_sm80.cu
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gemm_cf32n_cf32t_cf32t_tensor_op_tf32_f32_sm80.cu
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gemm_cf32t_cf32n_cf32t_tensor_op_tf32_f32_sm80.cu
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gemm_f32n_f32n_f32t_tensor_op_f32_sm80.cu
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gemm_f32n_f32n_f32t_tensor_op_bf16_f32_sm80.cu
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_tensorop_f64
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BATCH_SOURCES ON
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BATCH_SIZE 4
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gemm_f64n_f64t_f64t_tensor_op_f64_sm80.cu
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gemm_f64t_f64n_f64t_tensor_op_f64_sm80.cu
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gemm_universal_cf64n_cf64t_cf64t_tensor_op_f64_sm80.cu
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gemm_universal_cf64n_cf64t_cf64t_tensor_op_f64_gaussian_sm80.cu
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gemm_cf64n_cf64t_cf64t_tensor_op_f64_sm80.cu
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gemm_cf64t_cf64n_cf64t_tensor_op_f64_sm80.cu
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gemm_cf64n_cf64t_cf64t_tensor_op_f64_gaussian_sm80.cu
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gemm_cf64t_cf64n_cf64t_tensor_op_f64_gaussian_sm80.cu
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_tensorop_s32_sm80
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BATCH_SOURCES ON
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BATCH_SIZE 4
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gemm_s8t_s8n_s32t_tensor_op_s32_sm80.cu
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gemm_s8t_s8n_s32n_tensor_op_s32_sm80.cu
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gemm_s8t_s8n_s8n_tensor_op_s32_sm80.cu
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gemm_s8t_s8n_s8t_tensor_op_s32_sm80.cu
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gemm_s4t_s4n_s32n_tensor_op_s32_sm80.cu
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gemm_s4t_s4n_s32t_tensor_op_s32_sm80.cu
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gemm_b1t_b1n_s32n_tensor_op_s32_sm80.cu
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gemm_b1t_b1n_s32t_tensor_op_s32_sm80.cu
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gemm_s8n_s8t_s8n_tensor_op_s32_sm80.cu
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gemm_s4n_s4t_s4n_tensor_op_s32_sm80.cu
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_wmma
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BATCH_SOURCES ON
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BATCH_SIZE 4
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# wmma floating point tests
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gemm_f16t_f16n_f16t_wmma_tensor_op_f16_sm70.cu
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gemm_f16n_f16t_f16t_wmma_tensor_op_f16_sm70.cu
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gemm_f16t_f16t_f16t_wmma_tensor_op_f16_sm70.cu
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gemm_f16n_f16n_f16t_wmma_tensor_op_f16_sm70.cu
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gemm_f16t_f16n_f16n_wmma_tensor_op_f16_sm70.cu
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gemm_f16n_f16t_f16n_wmma_tensor_op_f16_sm70.cu
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gemm_f16t_f16t_f16n_wmma_tensor_op_f16_sm70.cu
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gemm_f16n_f16n_f16n_wmma_tensor_op_f16_sm70.cu
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gemm_f16t_f16n_f32t_wmma_tensor_op_f32_sm70.cu
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gemm_f16n_f16t_f32t_wmma_tensor_op_f32_sm70.cu
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gemm_f16t_f16t_f32t_wmma_tensor_op_f32_sm70.cu
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gemm_f16n_f16n_f32t_wmma_tensor_op_f32_sm70.cu
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gemm_f16t_f16n_f32n_wmma_tensor_op_f32_sm70.cu
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gemm_f16n_f16t_f32n_wmma_tensor_op_f32_sm70.cu
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gemm_f16t_f16t_f32n_wmma_tensor_op_f32_sm70.cu
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gemm_f16n_f16n_f32n_wmma_tensor_op_f32_sm70.cu
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gemm_f16t_f16n_f16t_wmma_tensor_op_f32_sm70.cu
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gemm_f16n_f16t_f16t_wmma_tensor_op_f32_sm70.cu
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gemm_f16t_f16t_f16t_wmma_tensor_op_f32_sm70.cu
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gemm_f16n_f16n_f16t_wmma_tensor_op_f32_sm70.cu
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gemm_f16t_f16n_f16n_wmma_tensor_op_f32_sm70.cu
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gemm_f16n_f16t_f16n_wmma_tensor_op_f32_sm70.cu
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gemm_f16t_f16t_f16n_wmma_tensor_op_f32_sm70.cu
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gemm_f16n_f16n_f16n_wmma_tensor_op_f32_sm70.cu
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# wmma int8 tests
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gemm_s8t_s8n_s32t_wmma_tensor_op_s32_sm72.cu
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gemm_s8t_s8n_s32n_wmma_tensor_op_s32_sm72.cu
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gemm_s8t_s8n_s8t_wmma_tensor_op_s32_sm72.cu
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gemm_s8t_s8n_s8n_wmma_tensor_op_s32_sm72.cu
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# wmma uint8 tests
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gemm_u8t_u8n_s32t_wmma_tensor_op_s32_sm72.cu
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# wmma sub byptes (s4 and b1) tests
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gemm_s4t_s4n_s32n_wmma_tensor_op_s32_sm75.cu
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gemm_s4t_s4n_s32t_wmma_tensor_op_s32_sm75.cu
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gemm_b1t_b1n_s32n_wmma_tensor_op_s32_sm75.cu
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gemm_b1t_b1n_s32t_wmma_tensor_op_s32_sm75.cu
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# wmma floating point tests (using singestage pipeline)
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gemm_f16t_f16n_f16t_singlestage_wmma_tensor_op_f16_sm70.cu
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gemm_f16t_f16n_f16n_singlestage_wmma_tensor_op_f16_sm70.cu
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gemm_f16t_f16n_f32t_singlestage_wmma_tensor_op_f32_sm70.cu
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_tensorop_planar_complex
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BATCH_SOURCES ON
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BATCH_SIZE 4
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gemm_planar_complex_f16_f16_f32_tensor_op_sm70.cu
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gemm_planar_complex_f16_f16_f32_tensor_op_sm75.cu
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gemm_planar_complex_f16_f16_f32_tensor_op_sm80.cu
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_sparse_tensorop_sm80
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BATCH_SOURCES ON
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BATCH_SIZE 4
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gemm_f16n_f16n_f16t_tensor_op_f32_sparse_sm80.cu
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gemm_f16n_f16n_f32t_tensor_op_f32_sparse_sm80.cu
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gemm_f16n_f16t_f16t_tensor_op_f16_sparse_sm80.cu
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gemm_f16n_f16t_f32t_tensor_op_f32_sparse_sm80.cu
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gemm_f16t_f16n_f16t_tensor_op_f16_sparse_sm80.cu
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gemm_f16t_f16n_f32t_tensor_op_f32_sparse_sm80.cu
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gemm_f16t_f16t_f32t_tensor_op_f32_sparse_sm80.cu
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gemm_f32t_f32n_f32t_tensor_op_f32_sparse_sm80.cu
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gemm_f32n_f32t_f32t_tensor_op_f32_sparse_sm80.cu
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gemm_f32t_f32t_f32t_tensor_op_f32_sparse_sm80.cu
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gemm_f32n_f32n_f32t_tensor_op_f32_sparse_sm80.cu
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gemm_s8t_s8n_s32t_tensor_op_s32_sparse_sm80.cu
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gemm_s4t_s4n_s32t_tensor_op_s32_sparse_sm80.cu
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemv_device
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BATCH_SOURCES ON
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BATCH_SIZE 4
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gemv.cu
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)
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if (NOT CUDA_COMPILER MATCHES "[Cc]lang")
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add_dependencies(
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cutlass_test_unit_gemm_device
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cutlass_test_unit_gemm_device_gemm_with_fused_epilogue_tensorop
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)
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add_dependencies(
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test_unit_gemm_device
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test_unit_gemm_device_gemm_with_fused_epilogue_tensorop
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)
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cutlass_test_unit_add_executable(
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cutlass_test_unit_gemm_device_gemm_with_fused_epilogue_tensorop
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gemm_with_reduction_f16n_f16n_f16n_tensorop_f32_sm75.cu
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gemm_with_broadcast_f16n_f16n_f16n_tensorop_f32_sm75.cu
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gemm_with_reduction_f16t_f16n_f16n_tensorop_f32_sm80.cu
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)
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endif()
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