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dd3a77bc96
Signed-off-by: Edward Z. Yang <ezyang@meta.com> Pull Request resolved: https://github.com/pytorch/pytorch/pull/105928 Approved by: https://github.com/albanD
43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
from benchmark_core import _register_test
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from benchmark_pytorch import create_pytorch_op_test_case
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def generate_pt_test(configs, pt_bench_op):
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"""This function creates PyTorch op test based on the given operator"""
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_register_test(configs, pt_bench_op, create_pytorch_op_test_case, False)
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def generate_pt_gradient_test(configs, pt_bench_op):
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"""This function creates PyTorch op test based on the given operator"""
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_register_test(configs, pt_bench_op, create_pytorch_op_test_case, True)
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def generate_pt_tests_from_op_list(ops_list, configs, pt_bench_op):
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"""This function creates pt op tests one by one from a list of dictionaries.
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ops_list is a list of dictionary. Each dictionary includes
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the name of the operator and the math operation. Here is an example of using this API:
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unary_ops_configs = op_bench.config_list(
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attrs=[...],
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attr_names=["M", "N"],
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)
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unary_ops_list = op_bench.op_list(
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attr_names=["op_name", "op_func"],
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attrs=[
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["abs", torch.abs],
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],
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)
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class UnaryOpBenchmark(op_bench.TorchBenchmarkBase):
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def init(self, M, N, op_name, op_func):
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...
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def forward(self):
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...
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op_bench.generate_pt_tests_from_op_list(unary_ops_list, unary_ops_configs, UnaryOpBenchmark)
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"""
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for op in ops_list:
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_register_test(configs, pt_bench_op, create_pytorch_op_test_case, False, op)
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def generate_pt_gradient_tests_from_op_list(ops_list, configs, pt_bench_op):
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for op in ops_list:
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_register_test(configs, pt_bench_op, create_pytorch_op_test_case, True, op)
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