Add 3D+ input support for fp8 rowwise GEMM #2845
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This pull request was exported from Phabricator. Differential Revision: D59671644 |
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Summary: Pull Request resolved: pytorch#2845 The input activation can be 3D+, with first dimension as batch dimension. - 1. If the input tensor is {M, K}, the output tensor is {M, N}. - 2. If the input tensor is {b, M, K}, the output tensor is {b, M, N}. This Diff adds the support, to match nn.Linear function / matmul supports. Differential Revision: D59671644
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This pull request was exported from Phabricator. Differential Revision: D59671644 |
jianyuh
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Summary: Pull Request resolved: pytorch#2845 The input activation can be 3D+, with first dimension as batch dimension. - 1. If the input tensor is {M, K}, the output tensor is {M, N}. - 2. If the input tensor is {b, M, K}, the output tensor is {b, M, N}. This Diff adds the support, to match nn.Linear function / matmul supports. Differential Revision: D59671644
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Summary: Pull Request resolved: pytorch#2845 The input activation can be 3D+, with first dimension as batch dimension. - 1. If the input tensor is {M, K}, the output tensor is {M, N}. - 2. If the input tensor is {b, M, K}, the output tensor is {b, M, N}. This Diff adds the support, to match nn.Linear function / matmul supports. Reviewed By: sijiac, jiawenliu64, jwfromm Differential Revision: D59671644
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Summary: Pull Request resolved: pytorch#2845 The input activation can be 3D+, with first dimension as batch dimension. - 1. If the input tensor is {M, K}, the output tensor is {M, N}. - 2. If the input tensor is {b, M, K}, the output tensor is {b, M, N}. This Diff adds the support, to match nn.Linear function / matmul supports. Additionally, this Diff adds a FP8 architecture check: ``` functools.lru_cache def check_fp8_arch() -> None: arch_major = torch.cuda.get_device_properties(torch.cuda.current_device()).major arch_minor = torch.cuda.get_device_properties(torch.cuda.current_device()).minor if torch.version.cuda and arch_major < 9: raise Exception("FP8 can only work on Nvidia H100+ GPUs with sm90+ support!") if torch.version.hip and (arch_major < 9 or arch_minor < 4): raise Exception( "FP8 can only work on Nvidia MI300x+ GPUs with gfx942+ support!" ) ``` Reviewed By: sijiac, jiawenliu64, jwfromm Differential Revision: D59671644
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Summary:
The input activation can be 3D+, with first dimension as batch dimension.
This Diff adds the support, to match nn.Linear function / matmul supports.
Differential Revision: D59671644