137 lines
3.8 KiB
Python
137 lines
3.8 KiB
Python
# Copyright (c) 2025 - 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: BSD-3-Clause
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are met:
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# 1. Redistributions of source code must retain the above copyright notice, this
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# list of conditions and the following disclaimer.
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# 2. Redistributions in binary form must reproduce the above copyright notice,
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# this list of conditions and the following disclaimer in the documentation
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# and/or other materials provided with the distribution.
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# 3. Neither the name of the copyright holder nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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from blackwell.tutorial_gemm import fp16_gemm_0
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from blackwell.tutorial_gemm import fp16_gemm_1
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from blackwell.tutorial_gemm import fp16_gemm_2
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from blackwell.tutorial_gemm import fp16_gemm_3
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from blackwell.tutorial_gemm import fp16_gemm_3_1
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from blackwell.tutorial_gemm import fp16_gemm_4
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from blackwell.tutorial_gemm import fp16_gemm_5
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from blackwell.tutorial_gemm import fp16_gemm_6
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import pytest
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from typing import Tuple
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@pytest.mark.parametrize(
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"mnk",
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[(512, 512, 256)],
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)
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@pytest.mark.parametrize("tolerance", [1e-01])
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def test_fp16_gemm_0(
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mnk: Tuple[int, int, int],
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tolerance: float,
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):
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fp16_gemm_0.run_dense_gemm(mnk, tolerance)
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@pytest.mark.parametrize(
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"mnk",
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[(512, 512, 256)],
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)
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@pytest.mark.parametrize("tolerance", [1e-01])
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def test_fp16_gemm_1(
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mnk: Tuple[int, int, int],
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tolerance: float,
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):
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fp16_gemm_1.run_dense_gemm(mnk, tolerance)
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@pytest.mark.parametrize(
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"mnk",
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[(512, 512, 256)],
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)
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@pytest.mark.parametrize("tolerance", [1e-01])
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def test_fp16_gemm_2(
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mnk: Tuple[int, int, int],
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tolerance: float,
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):
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fp16_gemm_2.run_dense_gemm(mnk, tolerance)
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@pytest.mark.parametrize(
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"mnk",
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[(512, 512, 256)],
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)
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@pytest.mark.parametrize("tolerance", [1e-01])
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def test_fp16_gemm_3(
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mnk: Tuple[int, int, int],
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tolerance: float,
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):
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fp16_gemm_3.run_dense_gemm(mnk, tolerance)
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@pytest.mark.parametrize(
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"mnk",
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[(512, 512, 256)],
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)
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@pytest.mark.parametrize("tolerance", [1e-01])
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def test_fp16_gemm_3_1(
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mnk: Tuple[int, int, int],
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tolerance: float,
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):
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fp16_gemm_3_1.run_dense_gemm(mnk, tolerance)
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@pytest.mark.parametrize(
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"mnk",
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[(512, 512, 256)],
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)
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@pytest.mark.parametrize("tolerance", [1e-01])
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def test_fp16_gemm_4(
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mnk: Tuple[int, int, int],
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tolerance: float,
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):
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fp16_gemm_4.run_dense_gemm(mnk, tolerance)
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@pytest.mark.parametrize(
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"mnk",
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[(512, 512, 256)],
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)
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@pytest.mark.parametrize("tolerance", [1e-01])
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def test_fp16_gemm_5(
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mnk: Tuple[int, int, int],
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tolerance: float,
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):
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fp16_gemm_5.run_dense_gemm(mnk, tolerance)
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@pytest.mark.parametrize(
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"mnk",
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[(512, 512, 256)],
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)
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@pytest.mark.parametrize("tolerance", [1e-01])
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def test_fp16_gemm_6(
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mnk: Tuple[int, int, int],
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tolerance: float,
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):
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fp16_gemm_6.run_dense_gemm(mnk, tolerance)
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