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refine the full_like Op test=develop #25294

Merged
merged 15 commits into from
Jul 9, 2020
Merged

refine the full_like Op test=develop #25294

merged 15 commits into from
Jul 9, 2020

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wangchaochaohu
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@wangchaochaohu wangchaochaohu commented Jul 1, 2020

PR types

Function optimization

PR changes

Ops

Describe

refine the full_like API for 2.0

old

paddle.tensor.full_like(input, fill_value, out=None, dtype=None, device=None, stop_gradient=True, name=None)

new

 paddle.tensor.full_like(x, fill_value, dtype=None, name=None)

python/paddle/tensor/creation.py Outdated Show resolved Hide resolved
python/paddle/tensor/creation.py Outdated Show resolved Hide resolved
python/paddle/tensor/creation.py Outdated Show resolved Hide resolved
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paddle-bot-old bot commented Jul 7, 2020

Thanks for your contribution!
Please add test = develop in your commit message to trigger CI to ensure your PR can be merged.
See Paddle CI Manual for details.

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paddle-bot-old bot commented Jul 7, 2020

Thanks for your contribution!
Please add test = develop in your commit message to trigger CI to ensure your PR can be merged.
See Paddle CI Manual for details.

zhupengyang
zhupengyang previously approved these changes Jul 8, 2020
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LGTM

wawltor
wawltor previously approved these changes Jul 8, 2020
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LGTM

@wangchaochaohu wangchaochaohu dismissed stale reviews from wawltor and zhupengyang via aa2d41b July 8, 2020 08:27
zhupengyang
zhupengyang previously approved these changes Jul 8, 2020
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LGTM

fill_value(bool|float|int|Variable): The value to fill the tensor with. Default value is 0.
Note: this value shouldn't exceed the range of the output data type.
dtype(np.dtype|core.VarDesc.VarType|str, optional): The data type of output. The data type can be one
of bool, float16, float32, float64, int32, int64 .The default value is None, which means the output
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int64 .The default value

格式有问题,句点应该跟着前面的词

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已修改

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@lanxianghit lanxianghit left a comment

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LGTM

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@swtkiwi swtkiwi left a comment

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LGTM

@wangchaochaohu wangchaochaohu merged commit 090a331 into PaddlePaddle:develop Jul 9, 2020
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5 participants