Vijay Thakkar
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_dgrad_implicit_gemm_f16nhwc_f16nhwc_f16nhwc_tensor_op_f16_sm80.cu
|
||||
from pycutlass.conv2d_operation import *
|
||||
from pycutlass import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_dgrad_implicit_gemm_f32nhwc_f32nhwc_f32nhwc_simt_f32_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass.conv2d_operation import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_fprop_implicit_gemm_tf32nhwc_tf32nhwc_f32nhwc_tensor_op_f32_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_fprop_few_channels_f16nhwc_f16nhwc_f16nhwc_tensor_op_f32_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass.test import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_fprop_fixed_channels_f16nhwc_f16nhwc_f16nhwc_tensor_op_f32_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass.test import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f16nhwc_tensor_op_f16_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_fprop_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_fprop_implicit_gemm_f32nhwc_f32nhwc_f32nhwc_simt_f32_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass.conv2d_operation import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_fprop_implicit_gemm_tf32nhwc_tf32nhwc_f32nhwc_tensor_op_f32_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_strided_dgrad_implicit_gemm_f16nhwc_f16nhwc_f32nhwc_tensor_op_f32_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_wgrad_implicit_gemm_f16nhwc_f16nhwc_f16nhwc_tensor_op_f16_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_wgrad_implicit_gemm_f16nhwc_f16nhwc_f16nhwc_tensor_op_f16_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_wgrad_implicit_gemm_f32nhwc_f32nhwc_f32nhwc_simt_f32_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass.conv2d_operation import *
|
||||
|
||||
+32
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
# test/unit/conv/device/conv2d_wgrad_implicit_gemm_tf32nhwc_tf32nhwc_f32nhwc_tensor_op_f32_sm80.cu
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
|
||||
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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
|
||||
import unittest
|
||||
from pycutlass.memory_manager import *
|
||||
|
||||
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
pushd $CUTLASS_PATH/examples/40_cutlass_py/customizable
|
||||
|
||||
python gemm.py -i 8 8 4 -ta float64 -tb float64 -tc float64 -tacc float64 -m multiply_add -op TensorOp -b 32 32 16 -s 4 -w 2 2 1 -cc 80 -la ColumnMajor -aa 1 -lb RowMajor -ab 1 -lc RowMajor -ac 1 -te float64 -ep LinearCombination -sw IdentitySwizzle1 -p 512 256 128 -alpha 1.0 -beta 0.5 -gm Gemm -k 1
|
||||
|
||||
@@ -1 +1,33 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
CUPY_CACHE_DIR=./ python test_frontend.py
|
||||
|
||||
@@ -29,13 +29,15 @@
|
||||
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
||||
#
|
||||
#################################################################################################
|
||||
## Test case for Pytorch
|
||||
|
||||
"""
|
||||
Test cases for frontends
|
||||
"""
|
||||
|
||||
import pycutlass
|
||||
import unittest
|
||||
from pycutlass import *
|
||||
from pycutlass.utils.device import device_cc
|
||||
import torch
|
||||
import cupy as cp
|
||||
|
||||
|
||||
class Test_Frontend(unittest.TestCase):
|
||||
@@ -49,9 +51,7 @@ class Test_Frontend(unittest.TestCase):
|
||||
cutlass.OpClass.Simt, MathOperation.multiply_add
|
||||
)
|
||||
|
||||
# Stages > 2 is supported only for compute capability 80 and beyond
|
||||
stages = 4 if cc >= 80 else 2
|
||||
|
||||
stages = 2
|
||||
tile_description = TileDescription(
|
||||
[128, 128, 8], stages, [2, 4, 1],
|
||||
math_inst
|
||||
@@ -84,6 +84,11 @@ class Test_Frontend(unittest.TestCase):
|
||||
|
||||
|
||||
def test_torch_frontend(self):
|
||||
try:
|
||||
import torch
|
||||
except:
|
||||
self.assertTrue(False, "Unable to import torch")
|
||||
|
||||
problem_size = cutlass.gemm.GemmCoord(512, 256, 128)
|
||||
|
||||
tensor_A = torch.ceil(torch.empty(size=(problem_size.m(), problem_size.k()), dtype=torch.float32, device="cuda").uniform_(-8.5, 7.5))
|
||||
@@ -111,6 +116,11 @@ class Test_Frontend(unittest.TestCase):
|
||||
self.assertTrue(torch.equal(tensor_D, tensor_D_ref))
|
||||
|
||||
def test_cupy_frontend(self):
|
||||
try:
|
||||
import cupy as cp
|
||||
except:
|
||||
self.assertTrue(False, "Unable to import cupy")
|
||||
|
||||
cp.cuda.set_allocator(rmm.rmm_cupy_allocator)
|
||||
|
||||
problem_size = cutlass.gemm.GemmCoord(512, 256, 128)
|
||||
@@ -139,7 +149,6 @@ class Test_Frontend(unittest.TestCase):
|
||||
self.assertTrue(cp.array_equal(tensor_D, tensor_D_ref))
|
||||
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
pycutlass.get_memory_pool(2**32, 2**32)
|
||||
unittest.main()
|
||||
|
||||
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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 *
|
||||
@@ -92,5 +124,5 @@ class GemmBF16TensorOpSm80(unittest.TestCase):
|
||||
self.assertTrue(test_all_gemm(operation, "multistage"))
|
||||
|
||||
if __name__ == '__main__':
|
||||
pycutlass.get_memory_pool(2**24, 2**24)
|
||||
pycutlass.get_memory_pool(2**30, 2**30)
|
||||
unittest.main()
|
||||
|
||||
@@ -0,0 +1,138 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
from functools import partial
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
from pycutlass import library
|
||||
from pycutlass.test import *
|
||||
import unittest
|
||||
|
||||
from pycutlass.test.utils import LayoutCombination, get_name
|
||||
from pycutlass.test.gemm_testbed import test_all_gemm
|
||||
from pycutlass.utils.device import device_cc
|
||||
|
||||
|
||||
name_fn = partial(get_name, element_a=cutlass.bfloat16, element_b=cutlass.bfloat16, arch=90)
|
||||
|
||||
def add_test(cls, layouts, alignments, element_output, element_accumulator, element_epilogue,
|
||||
cluster_shape, threadblock_shape, stages, opclass, persistent=False):
|
||||
"""
|
||||
Create a test-running function with the given specification and set it as a method of `cls`.
|
||||
|
||||
:param cls: class to which the generated method will be added
|
||||
:type cls: type
|
||||
:param layouts: indexable container of layouts of A, B, and C operands
|
||||
:param alignments: indexable container of alingments of A, B, and C operands
|
||||
:param element_output: data type of the output element
|
||||
:param element_accumulator: data type used in accumulation
|
||||
:param element_epilogue: data type used in computing the epilogue
|
||||
:param cluster_shape: indexable container of dimensions of threadblock cluster to be launched
|
||||
:param threadblock_shape: indexable container of dimensions of threadblock tiles
|
||||
:param stages: number of pipeline stages to use in the kernel
|
||||
:type stages: int
|
||||
:param opclass: class of operation being performed (e.g., SIMT, Tensor Core)
|
||||
:type opclass: cutlass.OpClass
|
||||
:param persistent: whether this is a persistent warp-specialized kernel
|
||||
:type persistent: bool
|
||||
"""
|
||||
|
||||
def run(self):
|
||||
"""
|
||||
Dynamically-generated function that constructs a GEMM operation and verifies it against
|
||||
multiple test cases.
|
||||
"""
|
||||
element_A = cutlass.bfloat16
|
||||
element_B = cutlass.bfloat16
|
||||
inst_shape = [1, 1, 1] if opclass == cutlass.OpClass.Simt else None
|
||||
warp_count = [2, 2, 1] if opclass == cutlass.OpClass.Simt else None
|
||||
math_inst = MathInstruction(
|
||||
instruction_shape=inst_shape,
|
||||
element_a=element_A, element_b=element_B, element_accumulator=element_accumulator,
|
||||
opcode_class=opclass, math_operation=MathOperation.multiply_add
|
||||
)
|
||||
|
||||
tile_description = TileDescription(
|
||||
threadblock_shape=threadblock_shape,
|
||||
cluster_shape=cluster_shape,
|
||||
stages=stages, warp_count=warp_count,
|
||||
math_instruction=math_inst,
|
||||
persistent=persistent
|
||||
)
|
||||
|
||||
A = TensorDescription(element=element_A, layout=layouts[0], alignment=alignments[0])
|
||||
B = TensorDescription(element=element_B, layout=layouts[1], alignment=alignments[1])
|
||||
C = TensorDescription(element=element_output, layout=layouts[2], alignment=alignments[2])
|
||||
|
||||
epilogue_functor = LinearCombination(C.element, C.alignment, math_inst.element_accumulator, element_epilogue)
|
||||
|
||||
swizzling_functor = cutlass.IdentitySwizzle1
|
||||
|
||||
operation = GemmOperationUniversal(
|
||||
arch=90, 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"))
|
||||
|
||||
if persistent:
|
||||
suffix = "_persistent"
|
||||
else:
|
||||
suffix = ""
|
||||
|
||||
name = name_fn(layouts, alignments, element_output, element_accumulator,
|
||||
element_epilogue, cluster_shape, threadblock_shape, stages, opclass=opclass, suffix=suffix)
|
||||
setattr(cls, name, run)
|
||||
|
||||
return run
|
||||
|
||||
|
||||
@unittest.skipIf(device_cc() < 90, "Device compute capability is insufficient for SM90 tests.")
|
||||
class GemmBF16Sm90(unittest.TestCase):
|
||||
"""
|
||||
Wrapper class to which tests will be added dynamically in __main__
|
||||
"""
|
||||
pass
|
||||
|
||||
|
||||
add_test_tensorop = partial(add_test, opclass=cutlass.OpClass.TensorOp)
|
||||
add_test_simt = partial(add_test, opclass=cutlass.OpClass.Simt)
|
||||
|
||||
add_test_tensorop(GemmBF16Sm90, LayoutCombination.NNN, [8, 8, 8], cutlass.bfloat16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 32], 3)
|
||||
add_test_tensorop(GemmBF16Sm90, LayoutCombination.NNN, [4, 4, 8], cutlass.bfloat16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 32], 5)
|
||||
add_test_tensorop(GemmBF16Sm90, LayoutCombination.TNN, [8, 8, 8], cutlass.bfloat16, cutlass.float32, cutlass.float32, [2, 1, 1], [128, 128, 32], None)
|
||||
add_test_tensorop(GemmBF16Sm90, LayoutCombination.TNN, [8, 8, 8], cutlass.bfloat16, cutlass.float32, cutlass.float32, [2, 1, 1], [128, 128, 32], None, persistent=True)
|
||||
add_test_simt(GemmBF16Sm90, LayoutCombination.NNN, [1, 1, 1], cutlass.bfloat16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 8], 2)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
pycutlass.get_memory_pool(2**30, 2**30)
|
||||
unittest.main()
|
||||
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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 *
|
||||
@@ -443,5 +475,5 @@ class GemmF16Sm80(unittest.TestCase):
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
pycutlass.get_memory_pool(2**24, 2**24)
|
||||
pycutlass.get_memory_pool(2**30, 2**30)
|
||||
unittest.main()
|
||||
|
||||
@@ -0,0 +1,182 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
from functools import partial
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
from pycutlass import library
|
||||
from pycutlass.test import *
|
||||
import unittest
|
||||
|
||||
from pycutlass.test.utils import LayoutCombination, get_name
|
||||
from pycutlass.test.gemm_testbed import test_all_gemm
|
||||
from pycutlass.utils.device import device_cc
|
||||
|
||||
|
||||
# Partial specialziation for naming tests
|
||||
name_fn = partial(get_name, element_a=cutlass.float16, element_b=cutlass.float16, arch=90)
|
||||
|
||||
|
||||
def add_test(cls, layouts, alignments, element_output, element_accumulator, element_epilogue,
|
||||
cluster_shape, threadblock_shape, stages, opclass, persistent=False):
|
||||
"""
|
||||
Create a test-running function with the given specification and set it as a method of `cls`.
|
||||
|
||||
:param cls: class to which the generated method will be added
|
||||
:type cls: type
|
||||
:param layouts: indexable container of layouts of A, B, and C operands
|
||||
:param alignments: indexable container of alingments of A, B, and C operands
|
||||
:param element_output: data type of the output element
|
||||
:param element_accumulator: data type used in accumulation
|
||||
:param element_epilogue: data type used in computing the epilogue
|
||||
:param cluster_shape: indexable container of dimensions of threadblock cluster to be launched
|
||||
:param threadblock_shape: indexable container of dimensions of threadblock tiles
|
||||
:param stages: number of pipeline stages to use in the kernel
|
||||
:type stages: int
|
||||
:param opclass: class of operation being performed (e.g., SIMT, Tensor Core)
|
||||
:type opclass: cutlass.OpClass
|
||||
:param persistent: whether this is a persistent warp-specialized kernel
|
||||
:type persistent: bool
|
||||
"""
|
||||
|
||||
def run(self):
|
||||
"""
|
||||
Dynamically-generated function that constructs a GEMM operation and verifies it against
|
||||
multiple test cases.
|
||||
"""
|
||||
|
||||
element_A = cutlass.float16
|
||||
element_B = cutlass.float16
|
||||
inst_shape = [1, 1, 1] if opclass == cutlass.OpClass.Simt else None
|
||||
warp_count = [2, 2, 1] if opclass == cutlass.OpClass.Simt else None
|
||||
math_inst = MathInstruction(
|
||||
instruction_shape=inst_shape,
|
||||
element_a=element_A, element_b=element_B, element_accumulator=element_accumulator,
|
||||
opcode_class=opclass, math_operation=MathOperation.multiply_add
|
||||
)
|
||||
|
||||
tile_description = TileDescription(
|
||||
threadblock_shape=threadblock_shape,
|
||||
cluster_shape=cluster_shape,
|
||||
stages=stages, warp_count=warp_count,
|
||||
math_instruction=math_inst,
|
||||
persistent=persistent
|
||||
)
|
||||
|
||||
A = TensorDescription(element=element_A, layout=layouts[0], alignment=alignments[0])
|
||||
B = TensorDescription(element=element_B, layout=layouts[1], alignment=alignments[1])
|
||||
C = TensorDescription(element=element_output, layout=layouts[2], alignment=alignments[2])
|
||||
|
||||
epilogue_functor = LinearCombination(C.element, C.alignment, math_inst.element_accumulator, element_epilogue)
|
||||
|
||||
swizzling_functor = cutlass.IdentitySwizzle1
|
||||
|
||||
operation = GemmOperationUniversal(
|
||||
arch=90, 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"))
|
||||
|
||||
if persistent:
|
||||
suffix = "_persistent"
|
||||
else:
|
||||
suffix = ""
|
||||
|
||||
name = name_fn(layouts, alignments, element_output, element_accumulator,
|
||||
element_epilogue, cluster_shape, threadblock_shape, stages, opclass=opclass, suffix=suffix)
|
||||
setattr(cls, name, run)
|
||||
|
||||
return run
|
||||
|
||||
|
||||
@unittest.skipIf(device_cc() < 90, "Device compute capability is insufficient for SM90 tests.")
|
||||
class GemmF16Sm90(unittest.TestCase):
|
||||
"""
|
||||
Wrapper class to which tests will be added dynamically in __main__
|
||||
"""
|
||||
pass
|
||||
|
||||
|
||||
add_test_tensorop = partial(add_test, opclass=cutlass.OpClass.TensorOp)
|
||||
add_test_simt = partial(add_test, opclass=cutlass.OpClass.Simt)
|
||||
|
||||
# Tests with 1x1x1 clusters
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.NNN, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 32], 3)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.NNT, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.NTN, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.NTT, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TNN, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TNT, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTT, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TNT, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [64, 128, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TNT, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 64, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TNT, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [64, 64, 64], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TNT, [4, 4, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TNT, [4, 4, 8], cutlass.float16, cutlass.float16, cutlass.float16, [1, 1, 1], [128, 128, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TNT, [8, 8, 8], cutlass.float16, cutlass.float16, cutlass.float16, [1, 1, 1], [128, 128, 32], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TNT, [8, 8, 8], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [64, 64, 64], 5)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TNT, [2, 2, 2], cutlass.float16, cutlass.float16, cutlass.float16, [1, 1, 1], [128, 128, 32], None)
|
||||
|
||||
# Tests with different cluster shapes
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [2, 2, 1], [64, 128, 64], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TNN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [2, 2, 1], [64, 128, 64], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.NTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [2, 2, 1], [64, 128, 64], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.NNN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [2, 2, 1], [64, 128, 64], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [1, 4, 1], [64, 128, 64], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [2, 4, 1], [64, 128, 64], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [4, 1, 1], [64, 128, 64], None)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [4, 2, 1], [64, 128, 64], None)
|
||||
|
||||
# Tests for persistent warp-specialized threadblocks
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [1, 1, 1], [64, 128, 64], None, persistent=True)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [2, 1, 1], [64, 128, 64], None, persistent=True)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 64], None, persistent=True)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [2, 1, 1], [128, 128, 64], None, persistent=True)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [1, 2, 1], [64, 128, 64], None, persistent=True)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [2, 2, 1], [64, 128, 64], None, persistent=True)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [1, 4, 1], [64, 128, 64], None, persistent=True)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [2, 4, 1], [64, 128, 64], None, persistent=True)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [4, 1, 1], [64, 128, 64], None, persistent=True)
|
||||
add_test_tensorop(GemmF16Sm90, LayoutCombination.TTN, [8, 8, 8], cutlass.float32, cutlass.float32, cutlass.float32, [4, 4, 1], [64, 128, 64], None, persistent=True)
|
||||
|
||||
# Tests using SIMT
|
||||
add_test_simt(GemmF16Sm90, LayoutCombination.NNN, [1, 1, 1], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 128, 8], 2)
|
||||
add_test_simt(GemmF16Sm90, LayoutCombination.TNN, [1, 1, 1], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [64, 128, 8], 2)
|
||||
add_test_simt(GemmF16Sm90, LayoutCombination.NTN, [1, 1, 1], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [128, 64, 8], 2)
|
||||
add_test_simt(GemmF16Sm90, LayoutCombination.TTN, [1, 1, 1], cutlass.float16, cutlass.float32, cutlass.float32, [1, 1, 1], [64, 64, 8], 2)
|
||||
add_test_simt(GemmF16Sm90, LayoutCombination.NNT, [1, 1, 1], cutlass.float16, cutlass.float16, cutlass.float16, [1, 1, 1], [128, 128, 8], 2)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
pycutlass.get_memory_pool(2**30, 2**30)
|
||||
unittest.main()
|
||||
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.memory_manager import get_allocated_size
|
||||
|
||||
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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 *
|
||||
@@ -98,5 +130,5 @@ class GemmF64TensorOpSm80(unittest.TestCase):
|
||||
self.assertTrue(test_all_gemm(operation, "universal"))
|
||||
|
||||
if __name__ == '__main__':
|
||||
pycutlass.get_memory_pool(2**24, 2**24)
|
||||
pycutlass.get_memory_pool(2**30, 2**30)
|
||||
unittest.main()
|
||||
|
||||
@@ -0,0 +1,124 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
from functools import partial
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
from pycutlass import library
|
||||
from pycutlass.test import *
|
||||
import unittest
|
||||
|
||||
from pycutlass.test.utils import LayoutCombination, get_name
|
||||
from pycutlass.test.gemm_testbed import test_all_gemm
|
||||
from pycutlass.utils.device import device_cc
|
||||
|
||||
|
||||
name_fn = partial(get_name, element_a=cutlass.float64, element_b=cutlass.float64, arch=90)
|
||||
|
||||
def add_test(cls, layouts, alignments, element_output, element_accumulator, element_epilogue,
|
||||
cluster_shape, threadblock_shape, stages, opclass):
|
||||
"""
|
||||
Create a test-running function with the given specification and set it as a method of `cls`.
|
||||
|
||||
:param cls: class to which the generated method will be added
|
||||
:type cls: type
|
||||
:param layouts: indexable container of layouts of A, B, and C operands
|
||||
:param alignments: indexable container of alingments of A, B, and C operands
|
||||
:param element_output: data type of the output element
|
||||
:param element_accumulator: data type used in accumulation
|
||||
:param element_epilogue: data type used in computing the epilogue
|
||||
:param cluster_shape: indexable container of dimensions of threadblock cluster to be launched
|
||||
:param threadblock_shape: indexable container of dimensions of threadblock tiles
|
||||
:param stages: number of pipeline stages to use in the kernel
|
||||
:type stages: int
|
||||
:param opclass: class of operation being performed (e.g., SIMT, Tensor Core)
|
||||
:type opclass: cutlass.OpClass
|
||||
"""
|
||||
|
||||
def run(self):
|
||||
"""
|
||||
Dynamically-generated function that constructs a GEMM operation and verifies it against
|
||||
multiple test cases.
|
||||
"""
|
||||
element_A = cutlass.float64
|
||||
element_B = cutlass.float64
|
||||
inst_shape = [1, 1, 1] if opclass == cutlass.OpClass.Simt else None
|
||||
warp_count = [2, 2, 1] if opclass == cutlass.OpClass.Simt else None
|
||||
math_inst = MathInstruction(
|
||||
instruction_shape=inst_shape,
|
||||
element_a=element_A, element_b=element_B, element_accumulator=element_accumulator,
|
||||
opcode_class=opclass, math_operation=MathOperation.multiply_add
|
||||
)
|
||||
|
||||
tile_description = TileDescription(
|
||||
threadblock_shape=threadblock_shape,
|
||||
cluster_shape=cluster_shape,
|
||||
stages=stages, warp_count=warp_count,
|
||||
math_instruction=math_inst
|
||||
)
|
||||
|
||||
A = TensorDescription(element=element_A, layout=layouts[0], alignment=alignments[0])
|
||||
B = TensorDescription(element=element_B, layout=layouts[1], alignment=alignments[1])
|
||||
C = TensorDescription(element=element_output, layout=layouts[2], alignment=alignments[2])
|
||||
|
||||
epilogue_functor = LinearCombination(C.element, C.alignment, math_inst.element_accumulator, element_epilogue)
|
||||
|
||||
swizzling_functor = cutlass.IdentitySwizzle1
|
||||
|
||||
operation = GemmOperationUniversal(
|
||||
arch=90, 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"))
|
||||
|
||||
name = name_fn(layouts, alignments, element_output, element_accumulator,
|
||||
element_epilogue, cluster_shape, threadblock_shape, stages, opclass=opclass)
|
||||
setattr(cls, name, run)
|
||||
|
||||
return run
|
||||
|
||||
|
||||
@unittest.skipIf(device_cc() < 90, "Device compute capability is insufficient for SM90 tests.")
|
||||
class GemmF64Sm90(unittest.TestCase):
|
||||
"""
|
||||
Wrapper class to which tests will be added dynamically in __main__
|
||||
"""
|
||||
pass
|
||||
|
||||
|
||||
add_test_simt = partial(add_test, opclass=cutlass.OpClass.Simt)
|
||||
add_test_simt(GemmF64Sm90, LayoutCombination.NNN, [1, 1, 1], cutlass.float64, cutlass.float64, cutlass.float64, [1, 1, 1], [64, 64, 32], 2)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
pycutlass.get_memory_pool(2**30, 2**30)
|
||||
unittest.main()
|
||||
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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 *
|
||||
@@ -199,5 +231,5 @@ class GemmGroupedSm80(unittest.TestCase):
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
pycutlass.get_memory_pool(2**26, 2**26)
|
||||
pycutlass.get_memory_pool(2**30, 2**30)
|
||||
unittest.main()
|
||||
|
||||
@@ -1,3 +1,35 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.epilogue import LinearCombinationClamp
|
||||
@@ -225,5 +257,5 @@ class GemmS8TensorOpF32Sm80(unittest.TestCase):
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
pycutlass.get_memory_pool(2**24, 2**24)
|
||||
pycutlass.get_memory_pool(2**30, 2**30)
|
||||
unittest.main()
|
||||
|
||||
@@ -0,0 +1,154 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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.
|
||||
#
|
||||
#################################################################################################
|
||||
|
||||
from functools import partial
|
||||
import pycutlass
|
||||
from pycutlass import *
|
||||
from pycutlass import library
|
||||
from pycutlass.test import *
|
||||
import unittest
|
||||
|
||||
from pycutlass.test.utils import LayoutCombination, get_name
|
||||
from pycutlass.test.gemm_testbed import test_all_gemm
|
||||
from pycutlass.utils.device import device_cc
|
||||
|
||||
|
||||
name_fn = partial(get_name, element_a=cutlass.float16, element_b=cutlass.float16, arch=90)
|
||||
|
||||
def add_test(cls, layouts, alignments, element_output, element_accumulator, element_epilogue,
|
||||
cluster_shape, threadblock_shape, stages, opclass, persistent=False):
|
||||
"""
|
||||
Create a test-running function with the given specification and set it as a method of `cls`.
|
||||
|
||||
:param cls: class to which the generated method will be added
|
||||
:type cls: type
|
||||
:param layouts: indexable container of layouts of A, B, and C operands
|
||||
:param alignments: indexable container of alingments of A, B, and C operands
|
||||
:param element_output: data type of the output element
|
||||
:param element_accumulator: data type used in accumulation
|
||||
:param element_epilogue: data type used in computing the epilogue
|
||||
:param cluster_shape: indexable container of dimensions of threadblock cluster to be launched
|
||||
:param threadblock_shape: indexable container of dimensions of threadblock tiles
|
||||
:param stages: number of pipeline stages to use in the kernel
|
||||
:type stages: int
|
||||
:param opclass: class of operation being performed (e.g., SIMT, Tensor Core)
|
||||
:type opclass: cutlass.OpClass
|
||||
:param persistent: whether this is a persistent warp-specialized kernel
|
||||
:type persistent: bool
|
||||
"""
|
||||
|
||||
def run(self):
|
||||
"""
|
||||
Dynamically-generated function that constructs a GEMM operation and verifies it against
|
||||
multiple test cases.
|
||||
"""
|
||||
element_A = cutlass.int8
|
||||
element_B = cutlass.int8
|
||||
inst_shape = [1, 1, 1] if opclass == cutlass.OpClass.Simt else None
|
||||
warp_count = [2, 2, 1] if opclass == cutlass.OpClass.Simt else None
|
||||
math_inst = MathInstruction(
|
||||
instruction_shape=inst_shape,
|
||||
element_a=element_A, element_b=element_B, element_accumulator=element_accumulator,
|
||||
opcode_class=opclass, math_operation=MathOperation.multiply_add
|
||||
)
|
||||
|
||||
tile_description = TileDescription(
|
||||
threadblock_shape=threadblock_shape,
|
||||
cluster_shape=cluster_shape,
|
||||
stages=stages, warp_count=warp_count,
|
||||
math_instruction=math_inst,
|
||||
persistent=persistent
|
||||
)
|
||||
|
||||
A = TensorDescription(element=element_A, layout=layouts[0], alignment=alignments[0])
|
||||
B = TensorDescription(element=element_B, layout=layouts[1], alignment=alignments[1])
|
||||
C = TensorDescription(element=element_output, layout=layouts[2], alignment=alignments[2])
|
||||
|
||||
if opclass == cutlass.OpClass.Simt:
|
||||
epilogue_functor_cls = LinearCombinationClamp
|
||||
else:
|
||||
epilogue_functor_cls = LinearCombination
|
||||
epilogue_functor = epilogue_functor_cls(C.element, C.alignment, math_inst.element_accumulator, element_epilogue)
|
||||
|
||||
swizzling_functor = cutlass.IdentitySwizzle1
|
||||
|
||||
operation = GemmOperationUniversal(
|
||||
arch=90, 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"))
|
||||
|
||||
if persistent:
|
||||
suffix = "_persistent"
|
||||
else:
|
||||
suffix = ""
|
||||
|
||||
name = name_fn(layouts, alignments, element_output, element_accumulator,
|
||||
element_epilogue, cluster_shape, threadblock_shape, stages, opclass=opclass, suffix=suffix)
|
||||
setattr(cls, name, run)
|
||||
|
||||
return run
|
||||
|
||||
|
||||
@unittest.skipIf(device_cc() < 90, "Device compute capability is insufficient for SM90 tests.")
|
||||
class GemmS8Sm90(unittest.TestCase):
|
||||
"""
|
||||
Wrapper class to which tests will be added dynamically in __main__
|
||||
"""
|
||||
pass
|
||||
|
||||
|
||||
add_test_tensorop = partial(add_test, opclass=cutlass.OpClass.TensorOp)
|
||||
add_test_simt = partial(add_test, opclass=cutlass.OpClass.Simt)
|
||||
|
||||
# Tests with 1x1x1 clusters
|
||||
add_test_tensorop(GemmS8Sm90, LayoutCombination.TNN, [16, 16, 16], cutlass.int8, cutlass.int32, cutlass.int32, [1, 1, 1], [128, 128, 128], 3)
|
||||
add_test_tensorop(GemmS8Sm90, LayoutCombination.TNT, [16, 16, 16], cutlass.int8, cutlass.int32, cutlass.int32, [1, 1, 1], [128, 128, 128], None)
|
||||
add_test_tensorop(GemmS8Sm90, LayoutCombination.TNT, [16, 16, 8], cutlass.int8, cutlass.int32, cutlass.int32, [1, 1, 1], [128, 128, 128], None)
|
||||
add_test_tensorop(GemmS8Sm90, LayoutCombination.TNT, [16, 16, 16], cutlass.int8, cutlass.int32, cutlass.int32, [1, 1, 1], [64, 128, 128], None)
|
||||
add_test_tensorop(GemmS8Sm90, LayoutCombination.TNT, [16, 16, 16], cutlass.int8, cutlass.int32, cutlass.int32, [1, 1, 1], [128, 64, 32], None)
|
||||
add_test_tensorop(GemmS8Sm90, LayoutCombination.TNT, [4, 4, 16], cutlass.int8, cutlass.int32, cutlass.int32, [1, 1, 1], [128, 128, 128], None)
|
||||
|
||||
# Tests with different cluster shapes
|
||||
add_test_tensorop(GemmS8Sm90, LayoutCombination.TNT, [16, 16, 16], cutlass.int8, cutlass.int32, cutlass.int32, [2, 2, 1], [128, 128, 128], None)
|
||||
add_test_tensorop(GemmS8Sm90, LayoutCombination.TNT, [16, 16, 16], cutlass.int8, cutlass.int32, cutlass.int32, [1, 4, 1], [128, 128, 128], None)
|
||||
add_test_tensorop(GemmS8Sm90, LayoutCombination.TNT, [16, 16, 16], cutlass.int8, cutlass.int32, cutlass.int32, [4, 4, 1], [128, 128, 128], None)
|
||||
|
||||
# Tests with persistent warp-specialized threadblocks
|
||||
add_test_tensorop(GemmS8Sm90, LayoutCombination.TNT, [16, 16, 16], cutlass.int8, cutlass.int32, cutlass.int32, [2, 1, 1], [128, 128, 128], None, persistent=True)
|
||||
|
||||
# Tests for SIMT
|
||||
add_test_simt(GemmS8Sm90, LayoutCombination.TNN, [1, 1, 1], cutlass.int8, cutlass.int32, cutlass.int32, [1, 1, 1], [64, 32, 8], 2)
|
||||
|
||||
if __name__ == '__main__':
|
||||
pycutlass.get_memory_pool(2**30, 2**30)
|
||||
unittest.main()
|
||||
@@ -1,8 +1,40 @@
|
||||
#################################################################################################
|
||||
#
|
||||
# Copyright (c) 2017 - 2023 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
|
||||
import unittest
|
||||
|
||||
if __name__ == '__main__':
|
||||
pycutlass.get_memory_pool(2**26, 2**26)
|
||||
pycutlass.get_memory_pool(2**30, 2**30)
|
||||
loader = unittest.TestLoader()
|
||||
tests = loader.discover('./', 'gemm_*.py')
|
||||
testRunner = unittest.runner.TextTestRunner()
|
||||
|
||||
Reference in New Issue
Block a user