forked from ccf-ai-infra/TileOPs-Metax
22 lines
694 B
Python
22 lines
694 B
Python
import torch
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from workloads.workload_base import WorkloadBase
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class InstanceNormTest(WorkloadBase):
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def __init__(self, n: int, c: int, spatial: tuple,
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dtype: torch.dtype, eps: float = 1e-5):
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self.n = n
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self.c = c
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self.spatial = spatial
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self.dtype = dtype
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self.eps = eps
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def gen_inputs(self) -> tuple[torch.Tensor, torch.Tensor, torch.Tensor]:
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shape = (self.n, self.c, *self.spatial)
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x = torch.randn(shape, dtype=self.dtype, device="cuda")
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weight = torch.randn(self.c, dtype=self.dtype, device="cuda")
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bias = torch.randn(self.c, dtype=self.dtype, device="cuda")
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return x, weight, bias
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