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
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
|
import operator_benchmark as op_bench
import torch
"""Microbenchmarks for Chunk operator"""
# Configs for PT Chunk operator
chunk_short_configs = op_bench.config_list(
attr_names=["M", "N", "chunks"],
attrs=[
[8, 8, 2],
[256, 512, 2],
[512, 512, 2],
],
cross_product_configs={
'device': ['cpu', 'cuda'],
},
tags=["short"],
)
chunks_long_configs = op_bench.cross_product_configs(
M=[128, 1024],
N=[128, 1024],
chunks=[2, 4],
device=['cpu', 'cuda'],
tags=['long']
)
class ChunkBenchmark(op_bench.TorchBenchmarkBase):
def init(self, M, N, chunks, device):
self.inputs = {
"input_one": torch.rand(M, N, device=device),
"chunks": chunks
}
self.set_module_name("chunk")
def forward(self, input_one, chunks: int):
return torch.chunk(input_one, chunks)
op_bench.generate_pt_test(chunk_short_configs + chunks_long_configs,
ChunkBenchmark)
if __name__ == "__main__":
op_bench.benchmark_runner.main()
|
