1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
|
from pt import configs
import operator_benchmark as op_bench
import torch
import torch.nn as nn
"""Microbenchmarks for Linear operator."""
class LinearBenchmark(op_bench.TorchBenchmarkBase):
def init(self, N, IN, OUT, device):
self.inputs = {"input_one": torch.rand(N, IN, device=device)}
self.linear = nn.Linear(IN, OUT).to(device=device)
self.set_module_name("linear")
def forward(self, input_one):
return self.linear(input_one)
op_bench.generate_pt_test(
configs.linear_configs_short + configs.linear_configs_long, LinearBenchmark
)
if __name__ == "__main__":
op_bench.benchmark_runner.main()
|
