Roderick Wuandmgoin
2c9d68f80b
Signed-off-by: Roderick-Wu <roderickwu2003@gmail.com> Signed-off-by: Roderick Wu <roderickwu2003@gmail.com> Signed-off-by: mgoin <mgoin64@gmail.com> Co-authored-by: mgoin <mgoin64@gmail.com>
30 lines
1022 B
Python
30 lines
1022 B
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import torch
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from tests.kernels.utils import opcheck
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from vllm import _custom_ops as ops # noqa: F401
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def test_gptq_shuffle_opcheck():
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weight = torch.randint(
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-2000000, 2000000, (1792, 4096), device="cuda", dtype=torch.int32
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)
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bit = 4
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opcheck(torch.ops._C.gptq_shuffle, (weight, bit))
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def test_gptq_gemm_opcheck():
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a = torch.rand((240, 4096), device="cuda", dtype=torch.float16)
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weight = torch.randint(
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-2000000, 2000000, (512, 6144), device="cuda", dtype=torch.int32
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)
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zeros = torch.zeros((32, 768), device="cuda", dtype=torch.int32)
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scales = torch.rand((32, 6144), device="cuda", dtype=torch.float16)
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use_exllama = True
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bit = 4
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# Test both GPTQv1 and GPTQv2 format
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opcheck(torch.ops._C.gptq_gemm, (a, weight, zeros, scales, use_exllama, True, bit))
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opcheck(torch.ops._C.gptq_gemm, (a, weight, zeros, scales, use_exllama, False, bit))
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