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修改COPY-FROM No. 18 static #5964

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merged 11 commits into from
Jul 5, 2023
Merged

修改COPY-FROM No. 18 static #5964

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45 changes: 5 additions & 40 deletions docs/api/paddle/static/InputSpec_cn.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -24,15 +24,7 @@ InputSpec
代码示例
::::::::::::

.. code-block:: python

from paddle.static import InputSpec

input = InputSpec([None, 784], 'float32', 'x')
label = InputSpec([None, 1], 'int64', 'label')
print(input) # InputSpec(shape=(-1, 784), dtype=paddle.float32, name=x)
print(label) # InputSpec(shape=(-1, 1), dtype=paddle.int64, name=label)

COPY-FROM: paddle.static.InputSpec

方法
::::::::::::
Expand All @@ -53,15 +45,7 @@ from_tensor(tensor, name=None)

**代码示例**

.. code-block:: python

import numpy as np
import paddle
from paddle.static import InputSpec

x = paddle.to_tensor(np.ones([2, 2], np.float32))
x_spec = InputSpec.from_tensor(x, name='x')
print(x_spec) # InputSpec(shape=(2, 2), dtype=paddle.float32, name=x)
COPY-FROM: paddle.static.InputSpec.from_tensor


from_numpy(ndarray, name=None)
Expand All @@ -81,14 +65,7 @@ from_numpy(ndarray, name=None)

**代码示例**

.. code-block:: python

import numpy as np
from paddle.static import InputSpec

x = np.ones([2, 2], np.float32)
x_spec = InputSpec.from_numpy(x, name='x')
print(x_spec) # InputSpec(shape=(2, 2), dtype=paddle.float32, name=x)
COPY-FROM: paddle.static.InputSpec.from_numpy


batch(batch_size)
Expand All @@ -106,13 +83,7 @@ batch(batch_size)

**代码示例**

.. code-block:: python

from paddle.static import InputSpec

x_spec = InputSpec(shape=[64], dtype='float32', name='x')
x_spec.batch(4)
print(x_spec) # InputSpec(shape=(4, 64), dtype=paddle.float32, name=x)
COPY-FROM: paddle.static.InputSpec.batch


unbatch()
Expand All @@ -127,10 +98,4 @@ unbatch()

**代码示例**

.. code-block:: python

from paddle.static import InputSpec

x_spec = InputSpec(shape=[4, 64], dtype='float32', name='x')
x_spec.unbatch()
print(x_spec) # InputSpec(shape=(64,), dtype=paddle.float32, name=x)
COPY-FROM: paddle.static.InputSpec.unbatch
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