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import operator_benchmark as op_bench
import torch
"""
Microbenchmarks for the gelu operators.
"""
gelu_configs_long = op_bench.cross_product_configs(
N=[1, 4],
C=[3],
H=[16, 256],
W=[16, 256],
device=['cpu'],
tags=['long']
)
class GeluBenchmark(op_bench.TorchBenchmarkBase):
def init(self, N, C, H, W, device):
self.inputs = {
"input": torch.rand(N, C, H, W, device=device)
}
def forward(self, input):
return torch.nn.functional.gelu(input)
op_bench.generate_pt_test(gelu_configs_long, GeluBenchmark)
if __name__ == "__main__":
op_bench.benchmark_runner.main()
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