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@kuizhiqing kuizhiqing commented Dec 8, 2021

PR types

New features

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APIs

Describe

new api/op repeat_interleave

examples

x = paddle.to_tensor([[1, 2, 3], [4, 5, 6]]) repeats = paddle.to_tensor([3, 2, 1], dtype='int32') paddle.repeat_interleave(x, repeats, 1) # [[1, 1, 1, 2, 2, 3], # [4, 4, 4, 5, 5, 6]] paddle.repeat_interleave(x, 2, 0) # [[1, 2, 3], [1, 2, 3], [4, 5, 6], [4, 5, 6]] paddle.repeat_interleave(x, 2, None) # [1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6] 

performance v.s. PyTorch

input(shape) output(shape) paddle(s) torch(s)
[100, 2, 40] [100, 7, 40] 6.16 8.20
[100, 5, 40] [100, 29, 40] 6.41 8.34
[100,30,40] [100, 154, 40] 6.97 8.44
[100, 50, 40] [100, 229, 40] 7.64 8.59
[100, 100, 40] [100, 470, 40] 8.88 10.22
[100, 1000, 40] [100, 4589, 40] 31.57 37.41
[100, 1000, 40] [445, 1000, 40] 28.26 35.51
[100, 1000, 40] [100, 1000, 179] 30.05 37.00
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paddle-bot-old bot commented Dec 8, 2021

Thanks for your contribution!
Please wait for the result of CI firstly. See Paddle CI Manual for details.

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CLAassistant commented Dec 10, 2021

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@jeff41404
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shall we add example of API in Describe ?

x (Tensor): The input Tensor to be operated. The data of ``x`` can be one of float32, float64, int32, int64.
repeats (Tensor or int): The number of repetitions for each element. repeats is broadcasted to fit the shape of the given axis.
axis (int, optional): The dimension in which we manipulate. Default: if None, the output tensor is flatten.
name(str, optional): The default value is None. Normally there is no
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if None -> None

Returns:
Tensor: A Tensor with same data type as ``x``.
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示例代码要显式的写 Examples:

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@jeff41404 jeff41404 left a comment

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LGTM

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@xymyeah xymyeah left a comment

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LGTM

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@Superjomn Superjomn left a comment

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LGTM

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@TCChenlong TCChenlong left a comment

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TODO: Fix API Docs

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@ForFishes ForFishes left a comment

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LGTM

@ForFishes ForFishes merged commit a7de0e6 into PaddlePaddle:develop Dec 17, 2021
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