mirror of
https://github.com/pytorch/pytorch.git
synced 2025-10-20 12:54:11 +08:00
c0ed38e644
See https://github.com/pytorch/pytorch/pull/129751#issue-2380881501. Most changes are auto-generated by linter. You can review these PRs via: ```bash git diff --ignore-all-space --ignore-blank-lines HEAD~1 ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/129754 Approved by: https://github.com/ezyang
74 lines
2.0 KiB
Python
74 lines
2.0 KiB
Python
import operator_benchmark as op_bench
|
|
|
|
import torch
|
|
|
|
|
|
qcomparators_configs = op_bench.cross_product_configs(
|
|
N=(8, 64),
|
|
dtype=(torch.quint8, torch.qint8, torch.qint32),
|
|
contig=(False, True),
|
|
other_scalar=(False, True),
|
|
out_variant=(False, True),
|
|
tags=("short",),
|
|
)
|
|
|
|
qcomparators_ops = op_bench.op_list(
|
|
attrs=(
|
|
("eq", torch.eq),
|
|
("ne", torch.ne),
|
|
("lt", torch.lt),
|
|
("gt", torch.gt),
|
|
("le", torch.le),
|
|
("ge", torch.ge),
|
|
),
|
|
attr_names=("op_name", "op_func"),
|
|
)
|
|
|
|
|
|
class QComparatorBenchmark(op_bench.TorchBenchmarkBase):
|
|
def init(self, N, dtype, contig, other_scalar, out_variant, op_func):
|
|
# TODO: Consider more diverse shapes
|
|
f_input = (torch.rand(N, N) - 0.5) * 256
|
|
scale = 1.0
|
|
zero_point = 0
|
|
|
|
q_input_a = torch.quantize_per_tensor(
|
|
f_input, scale=scale, zero_point=zero_point, dtype=dtype
|
|
)
|
|
q_input_b = q_input_a.clone()
|
|
|
|
if not contig:
|
|
permute_dims = list(range(f_input.ndim))[::-1]
|
|
q_input_a = q_input_a.permute(permute_dims)
|
|
|
|
self.qop = op_func
|
|
self.inputs = {
|
|
"q_input_a": q_input_a,
|
|
"q_input_b": q_input_b,
|
|
"out_variant": out_variant,
|
|
"other_scalar": other_scalar,
|
|
}
|
|
|
|
def forward(self, q_input_a, q_input_b, out_variant: bool, other_scalar: bool):
|
|
if out_variant:
|
|
if other_scalar:
|
|
return self.qop(q_input_a, 42, out=torch.tensor(True, dtype=torch.bool))
|
|
else:
|
|
return self.qop(
|
|
q_input_a, q_input_b, out=torch.tensor(True, dtype=torch.bool)
|
|
)
|
|
else:
|
|
if other_scalar:
|
|
return self.qop(q_input_a, 42)
|
|
else:
|
|
return self.qop(q_input_a, q_input_b)
|
|
|
|
|
|
op_bench.generate_pt_tests_from_op_list(
|
|
qcomparators_ops, qcomparators_configs, QComparatorBenchmark
|
|
)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
op_bench.benchmark_runner.main()
|