[enkilee]

PR Category

Execute Infrastructure

PR Types

Improvements

Description

当前PR为增加单测

cpu:

python engineV2.py --api_config='paddle.log(Tensor([0, 1],"float32"), )' --paddle_only=True --test_cpu=True

Main process id: 3483775
Options: {'api_config_file': '', 'api_config_file_pattern': '', 'api_config': 'paddle.log(Tensor([0, 1],"float32"), )', 'paddle_only': 'True', 'paddle_cinn': False, 'accuracy': False, 'test_amp': False, 'num_gpus': 0, 'num_workers_per_gpu': 1, 'gpu_ids': '', 'required_memory': 10.0, 'test_cpu': True, 'use_cached_numpy': False, 'log_dir': ''}
Test begin: paddle.log(Tensor([0, 1],"float32"), )
[Pass] paddle.log(Tensor([0, 1],"float32"), )
Done.

ython engineV2.py --api_config='paddle.log(Tensor([0, 2, 3],"float32"), name="Categorical_log_prob",)'  --paddle_only=True --test_cpu=True
Main process id: 5373
Options: {'api_config_file': '', 'api_config_file_pattern': '', 'api_config': 'paddle.log(Tensor([0, 2, 3],"float32"), name="Categorical_log_prob",)', 'paddle_only': 'True', 'paddle_cinn': False, 'accuracy': False, 'test_amp': False, 'num_gpus': 0, 'num_workers_per_gpu': 1, 'gpu_ids': '', 'required_memory': 10.0, 'test_cpu': True, 'use_cached_numpy': False, 'log_dir': ''}
Test begin: paddle.log(Tensor([0, 2, 3],"float32"), name="Categorical_log_prob",)
W0527 08:21:15.502329  5373 gpu_resources.cc:114] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 12.0, Runtime API Version: 11.8
[Pass] paddle.log(Tensor([0, 2, 3],"float32"), name="Categorical_log_prob",)
Done.

gpu:

2025-05-27 08:07:32.114727 Worker PID: 3216, Assigned GPU ID: 0
2025-05-27 08:07:32.116576 GPU 0 3216 test begin: paddle.log(Tensor([0, 100, 4],"float32"), )
W0527 08:07:41.031105  3216 gpu_resources.cc:114] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 12.0, Runtime API Version: 11.8
[Pass] paddle.log(Tensor([0, 100, 4],"float32"), )
2025-05-27 08:07:41.295067 GPU 0 3216 test begin: paddle.log(Tensor([0, 10164, 4],"float32"), )
[Pass] paddle.log(Tensor([0, 10164, 4],"float32"), )
2025-05-27 08:07:41.398893 GPU 0 3216 test begin: paddle.log(Tensor([0, 16],"float32"), )
[Pass] paddle.log(Tensor([0, 16],"float32"), )
2025-05-27 08:07:41.582868 GPU 0 3216 test begin: paddle.log(Tensor([0, 1],"float32"), )
[Pass] paddle.log(Tensor([0, 1],"float32"), )
2025-05-27 08:07:41.763330 GPU 0 3216 test begin: paddle.log(Tensor([0, 2, 300, 2],"float16"), )
[Pass] paddle.log(Tensor([0, 2, 300, 2],"float16"), )
2025-05-27 08:07:41.949025 GPU 0 3216 test begin: paddle.log(Tensor([0, 2, 300, 2],"float32"), )
[Pass] paddle.log(Tensor([0, 2, 300, 2],"float32"), )
2025-05-27 08:07:42.130497 GPU 0 3216 test begin: paddle.log(Tensor([0, 2, 3],"float32"), name="Categorical_log_prob", )
[Pass] paddle.log(Tensor([0, 2, 3],"float32"), name="Categorical_log_prob", )
2025-05-27 08:07:42.310728 GPU 0 3216 test begin: paddle.log(Tensor([0, 2],"float32"), name="Categorical_log_prob", )
[Pass] paddle.log(Tensor([0, 2],"float32"), name="Categorical_log_prob", )
2025-05-27 08:07:42.484663 GPU 0 3216 test begin: paddle.log(Tensor([0, 3],"float32"), name="Categorical_log_prob", )
[Pass] paddle.log(Tensor([0, 3],"float32"), name="Categorical_log_prob", )
2025-05-27 08:07:42.666959 GPU 0 3216 test begin: paddle.log(Tensor([0, 6],"float32"), name="Uniform_entropy", )
[Pass] paddle.log(Tensor([0, 6],"float32"), name="Uniform_entropy", )
2025-05-27 08:07:42.843080 GPU 0 3216 test begin: paddle.log(Tensor([0, 6],"float64"), name="Uniform_entropy", )
[Pass] paddle.log(Tensor([0, 6],"float64"), name="Uniform_entropy", )
2025-05-27 08:07:43.044196 GPU 0 3216 test begin: paddle.log(Tensor([0],"float32"), )
[Pass] paddle.log(Tensor([0],"float32"), )
2025-05-27 08:07:43.227147 GPU 0 3216 test begin: paddle.log(Tensor([0],"float32"), name="Categorical_log_prob", )
[Pass] paddle.log(Tensor([0],"float32"), name="Categorical_log_prob", )
2025-05-27 08:07:43.407388 GPU 0 3216 test begin: paddle.log(Tensor([0],"float64"), )
[Pass] paddle.log(Tensor([0],"float64"), )
2025-05-27 08:07:43.603193 GPU 0 3216 test begin: paddle.log(Tensor([1, 0, 300, 2],"float16"), )
[Pass] paddle.log(Tensor([1, 0, 300, 2],"float16"), )
2025-05-27 08:07:43.814351 GPU 0 3216 test begin: paddle.log(Tensor([1, 0, 300, 2],"float32"), )
[Pass] paddle.log(Tensor([1, 0, 300, 2],"float32"), )
2025-05-27 08:07:44.006270 GPU 0 3216 test begin: paddle.log(Tensor([1, 0, 4],"float32"), )
[Pass] paddle.log(Tensor([1, 0, 4],"float32"), )
2025-05-27 08:07:44.175760 GPU 0 3216 test begin: paddle.log(Tensor([1, 0],"float32"), )
[Pass] paddle.log(Tensor([1, 0],"float32"), )
2025-05-27 08:07:44.392704 GPU 0 3216 test begin: paddle.log(Tensor([1, 100, 0],"float32"), )
[Pass] paddle.log(Tensor([1, 100, 0],"float32"), )
2025-05-27 08:07:44.555662 GPU 0 3216 test begin: paddle.log(Tensor([1, 10164, 0],"float32"), )
[Pass] paddle.log(Tensor([1, 10164, 0],"float32"), )
2025-05-27 08:07:44.731746 GPU 0 3216 test begin: paddle.log(Tensor([1, 2, 0, 2],"float16"), )
[Pass] paddle.log(Tensor([1, 2, 0, 2],"float16"), )
2025-05-27 08:07:44.926290 GPU 0 3216 test begin: paddle.log(Tensor([1, 2, 0, 2],"float32"), )
[Pass] paddle.log(Tensor([1, 2, 0, 2],"float32"), )
2025-05-27 08:07:45.100193 GPU 0 3216 test begin: paddle.log(Tensor([1, 2, 300, 0],"float16"), )
[Pass] paddle.log(Tensor([1, 2, 300, 0],"float16"), )
2025-05-27 08:07:45.272753 GPU 0 3216 test begin: paddle.log(Tensor([1, 2, 300, 0],"float32"), )
[Pass] paddle.log(Tensor([1, 2, 300, 0],"float32"), )
2025-05-27 08:07:45.452124 GPU 0 3216 test begin: paddle.log(Tensor([3, 0, 3],"float32"), name="Categorical_log_prob", )
[Pass] paddle.log(Tensor([3, 0, 3],"float32"), name="Categorical_log_prob", )
2025-05-27 08:07:45.636470 GPU 0 3216 test begin: paddle.log(Tensor([3, 0],"float32"), name="Categorical_log_prob", )
[Pass] paddle.log(Tensor([3, 0],"float32"), name="Categorical_log_prob", )
2025-05-27 08:07:45.837101 GPU 0 3216 test begin: paddle.log(Tensor([3, 2, 0],"float32"), name="Categorical_log_prob", )
[Pass] paddle.log(Tensor([3, 2, 0],"float32"), name="Categorical_log_prob", )
2025-05-27 08:07:46.012415 GPU 0 3216 test begin: paddle.log(Tensor([5, 0],"float32"), name="Uniform_entropy", )
[Pass] paddle.log(Tensor([5, 0],"float32"), name="Uniform_entropy", )
2025-05-27 08:07:46.185724 GPU 0 3216 test begin: paddle.log(Tensor([5, 0],"float64"), name="Uniform_entropy", )
[Pass] paddle.log(Tensor([5, 0],"float64"), name="Uniform_entropy", )
2025-05-27 08:07:46.345100 GPU 0 3216 test begin: paddle.log(x=Tensor([0, 2, 3],"float64"), )
[Pass] paddle.log(x=Tensor([0, 2, 3],"float64"), )
2025-05-27 08:07:46.539098 GPU 0 3216 test begin: paddle.log(x=Tensor([0, 2, 3],"float64"), name="test_log", )
[Pass] paddle.log(x=Tensor([0, 2, 3],"float64"), name="test_log", )
2025-05-27 08:07:46.721764 GPU 0 3216 test begin: paddle.log(x=Tensor([0, 2],"float32"), )
[Pass] paddle.log(x=Tensor([0, 2],"float32"), )
2025-05-27 08:07:46.903643 GPU 0 3216 test begin: paddle.log(x=Tensor([0, 2],"float64"), )
[Pass] paddle.log(x=Tensor([0, 2],"float64"), )
2025-05-27 08:07:47.079234 GPU 0 3216 test begin: paddle.log(x=Tensor([0],"float64"), )
[Pass] paddle.log(x=Tensor([0],"float64"), )
2025-05-27 08:07:47.277642 GPU 0 3216 test begin: paddle.log(x=Tensor([2, 0, 3],"float64"), )
[Pass] paddle.log(x=Tensor([2, 0, 3],"float64"), )
2025-05-27 08:07:47.432213 GPU 0 3216 test begin: paddle.log(x=Tensor([2, 0, 3],"float64"), name="test_log", )
[Pass] paddle.log(x=Tensor([2, 0, 3],"float64"), name="test_log", )
2025-05-27 08:07:47.610011 GPU 0 3216 test begin: paddle.log(x=Tensor([2, 0],"float32"), )
[Pass] paddle.log(x=Tensor([2, 0],"float32"), )
2025-05-27 08:07:47.805536 GPU 0 3216 test begin: paddle.log(x=Tensor([2, 0],"float64"), )
[Pass] paddle.log(x=Tensor([2, 0],"float64"), )
2025-05-27 08:07:47.965151 GPU 0 3216 test begin: paddle.log(x=Tensor([2, 2, 0],"float64"), )
[Pass] paddle.log(x=Tensor([2, 2, 0],"float64"), )
2025-05-27 08:07:48.134744 GPU 0 3216 test begin: paddle.log(x=Tensor([2, 2, 0],"float64"), name="test_log", )
[Pass] paddle.log(x=Tensor([2, 2, 0],"float64"), name="test_log", )

[paddle-bot]

你的PR提交成功，感谢你对开源项目的贡献!
请关注后续CI自动化测试结果，详情请参考Paddle-CI手册。
Your PR has been submitted. Thanks for your contribution!
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[DanielSun11]

补充一下GPU和CPU的PaddleAPI测试结果，CPU测试可使用python engineV2.py --api_config='xxxx' --paddle_only=True --test_cpu=True

[DanielSun11]

LGTM

[wanghuancoder]

LGTM