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import benchmark_caffe2 as op_bench_c2
import operator_benchmark as op_bench
from benchmark_caffe2 import Caffe2BenchmarkBase # noqa: F401
from caffe2.python import core
"""Microbenchmarks for BatchBoxCox operator."""
# Configs for C2 BatchBoxCox operator
batch_box_cox_long_configs = op_bench.cross_product_configs(
M=[32, 64, 128], N=range(32, 128, 32), dtype=["float", "double"], tags=["long"]
)
batch_box_cox_short_configs = op_bench.config_list(
attrs=[
[16, 16, "float"],
[16, 16, "double"],
[64, 64, "float"],
[64, 64, "double"],
],
attr_names=["M", "N", "dtype"],
tags=["short"],
)
class BatchBoxCoxBenchmark(op_bench_c2.Caffe2BenchmarkBase):
def init(self, M, N, dtype):
self.data = self.tensor([M, N], dtype)
self.lambda1 = self.tensor([N], dtype)
self.lambda2 = self.tensor([N], dtype)
self.output = self.tensor([1, 1], dtype)
self.set_module_name("batch_box_cox")
def forward(self):
op = core.CreateOperator("BatchBoxCox", [self.data, self.lambda1, self.lambda2], self.output)
return op
op_bench_c2.generate_c2_test(
batch_box_cox_long_configs + batch_box_cox_short_configs, BatchBoxCoxBenchmark
)
if __name__ == "__main__":
op_bench.benchmark_runner.main()
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