[enkilee]

PR Category

Execute Infrastructure

PR Types

Improvements

Description

在 PaddleAPITest中，运行报错。
但是用代码直接运行，是可以的。
如下：

import paddle

paddle.device.set_device("gpu")
x = paddle.to_tensor(0, dtype='float32')
y = paddle.to_tensor(0, dtype='int32')
res = paddle.ldexp(x, y)
print(res)

结果：

W0529 03:50:15.910976 10840 gpu_resources.cc:114] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 12.0, Runtime API Version: 11.8
Tensor(shape=[], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       0.)

import paddle

paddle.device.set_device("gpu")
x = paddle.to_tensor([0], dtype='float32')
y = paddle.to_tensor([0], dtype='int32')
res = paddle.ldexp(x, y)
print(res)

结果：

W0529 03:56:33.115897 12246 gpu_resources.cc:114] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 12.0, Runtime API Version: 11.8
Tensor(shape=[1], dtype=float32, place=Place(gpu:0), stop_gradient=True,
       [0.])

故添加单测。

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[DanielSun11]

PaddleAPITest报错说明仍然存在错误。

import paddle

paddle.device.set_device("gpu")
x = paddle.to_tensor(0, dtype='float32')
y = paddle.to_tensor(0, dtype='int32')
res = paddle.ldexp(x, y)
print(res)

import paddle

paddle.device.set_device("gpu")
x = paddle.to_tensor([0], dtype='float32')
y = paddle.to_tensor([0], dtype='int32')
res = paddle.ldexp(x, y)
print(res)

这两个测试都不是0-size Tensor建议尝试

np_x = np.ones([3,0])
x = paddle.to_tensor(np_x)

构造0 size Tensor。问题尚未解决，请尝试修改

[DanielSun11]

问题尚未解决

[enkilee]

恩，原因是在pow这里，pow有问题。

[paddle-ci-bot]

Sorry to inform you that 40ba4a0's CIs have passed for more than 7 days. To prevent PR conflicts, you need to re-run all CIs manually.

[luotao1]

@enkilee 敏师傅，要不要更新下

[luotao1]

恩，原因是在pow这里，pow有问题。

可能等下面PR合入后，可以merge下develop

• [0-size Tensor No.278、280] Add 0-size Tensor support for __pow__ #73204

[luotao1]

敏师傅，pow的PR合入了，可以再更新试试

[enkilee]

敏师傅，pow的PR合入了，可以再更新试试

co63co师傅做好了ldexp了，我把PR关了。