[0-size Tensor No.243、326] Add 0-size Tensor support for quantile

[enkilee]

PR Category

Execute Infrastructure

PR Types

Improvements

Description

PaddleAPITest 测试没问题，故只增加单测。

aistudio@jupyter-115720-9209764:~/PaddleAPITest$ python engineV2.py --api_config='paddle.Tensor.quantile(Tensor([0, 6, 3, 4, 2, 5],"float64"), q=list[0.25,0.5,0.75,], axis=3, keepdim=False, )' --paddle_only=True Main process id: 1737 Options: {'api_config_file': '', 'api_config_file_pattern': '', 'api_config': 'paddle.Tensor.quantile(Tensor([0, 6, 3, 4, 2, 5],"float64"), q=list[0.25,0.5,0.75,], axis=3, keepdim=False, )', 'paddle_only': True, 'paddle_cinn': False, 'accuracy': False, 'test_amp': False, 'num_gpus': -1, 'num_workers_per_gpu': 1, 'gpu_ids': '', 'required_memory': 10.0, 'test_cpu': False, 'use_cached_numpy': False, 'log_dir': '', 'atol': 0.01, 'rtol': 0.01, 'test_tol': False} 2025-06-24 09:12:07.542422 test begin: paddle.Tensor.quantile(Tensor([0, 6, 3, 4, 2, 5],"float64"), q=list[0.25,0.5,0.75,], axis=3, keepdim=False, ) W0624 09:12:12.619387 1737 gpu_resources.cc:114] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 12.0, Runtime API Version: 11.8 W0624 09:12:12.625291 1737 multiply_fwd_func.cc:76] got different data type, run type promotion automatically, this may cause data type been changed. [Pass] paddle.Tensor.quantile(Tensor([0, 6, 3, 4, 2, 5],"float64"), q=list[0.25,0.5,0.75,], axis=3, keepdim=False, ) Done. aistudio@jupyter-115720-9209764:~/PaddleAPITest$ python engineV2.py --api_config='paddle.Tensor.quantile(Tensor([0, 6, 3, 4, 2, 5],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, )' --paddle_only=True Main process id: 2151 Options: {'api_config_file': '', 'api_config_file_pattern': '', 'api_config': 'paddle.Tensor.quantile(Tensor([0, 6, 3, 4, 2, 5],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, )', 'paddle_only': True, 'paddle_cinn': False, 'accuracy': False, 'test_amp': False, 'num_gpus': -1, 'num_workers_per_gpu': 1, 'gpu_ids': '', 'required_memory': 10.0, 'test_cpu': False, 'use_cached_numpy': False, 'log_dir': '', 'atol': 0.01, 'rtol': 0.01, 'test_tol': False} 2025-06-24 09:16:48.550517 test begin: paddle.Tensor.quantile(Tensor([0, 6, 3, 4, 2, 5],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, ) W0624 09:16:53.955935 2151 gpu_resources.cc:114] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 12.0, Runtime API Version: 11.8 W0624 09:16:53.966104 2151 multiply_fwd_func.cc:76] got different data type, run type promotion automatically, this may cause data type been changed. [Pass] paddle.Tensor.quantile(Tensor([0, 6, 3, 4, 2, 5],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, ) Done. aistudio@jupyter-115720-9209764:~/PaddleAPITest$ python engineV2.py --api_config='paddle.Tensor.quantile(Tensor([3, 6, 3, 0, 2, 5],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, )' --paddle_only=True Main process id: 2291 Options: {'api_config_file': '', 'api_config_file_pattern': '', 'api_config': 'paddle.Tensor.quantile(Tensor([3, 6, 3, 0, 2, 5],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, )', 'paddle_only': True, 'paddle_cinn': False, 'accuracy': False, 'test_amp': False, 'num_gpus': -1, 'num_workers_per_gpu': 1, 'gpu_ids': '', 'required_memory': 10.0, 'test_cpu': False, 'use_cached_numpy': False, 'log_dir': '', 'atol': 0.01, 'rtol': 0.01, 'test_tol': False} 2025-06-24 09:17:29.143692 test begin: paddle.Tensor.quantile(Tensor([3, 6, 3, 0, 2, 5],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, ) W0624 09:17:34.096621 2291 gpu_resources.cc:114] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 12.0, Runtime API Version: 11.8 W0624 09:17:34.200186 2291 multiply_fwd_func.cc:76] got different data type, run type promotion automatically, this may cause data type been changed. [Pass] paddle.Tensor.quantile(Tensor([3, 6, 3, 0, 2, 5],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, ) Done. aistudio@jupyter-115720-9209764:~/PaddleAPITest$ python engineV2.py --api_config='paddle.Tensor.quantile(Tensor([3, 6, 3, 4, 2, 0],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, )' --paddle_only=True Main process id: 2460 Options: {'api_config_file': '', 'api_config_file_pattern': '', 'api_config': 'paddle.Tensor.quantile(Tensor([3, 6, 3, 4, 2, 0],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, )', 'paddle_only': True, 'paddle_cinn': False, 'accuracy': False, 'test_amp': False, 'num_gpus': -1, 'num_workers_per_gpu': 1, 'gpu_ids': '', 'required_memory': 10.0, 'test_cpu': False, 'use_cached_numpy': False, 'log_dir': '', 'atol': 0.01, 'rtol': 0.01, 'test_tol': False} 2025-06-24 09:18:16.960638 test begin: paddle.Tensor.quantile(Tensor([3, 6, 3, 4, 2, 0],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, ) W0624 09:18:21.705543 2460 gpu_resources.cc:114] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 12.0, Runtime API Version: 11.8 W0624 09:18:21.709724 2460 multiply_fwd_func.cc:76] got different data type, run type promotion automatically, this may cause data type been changed. [Pass] paddle.Tensor.quantile(Tensor([3, 6, 3, 4, 2, 0],"float64"), q=tuple(0.11,0.5,0.73,0.9,), axis=4, keepdim=False, ) Done.

[enkilee]

/re-run all-failed

[DanielSun11]

LGTM