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体验新版 GitCode,发现更多精彩内容 >>
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ad979089
编写于
12月 20, 2017
作者:
A
Abhinav Arora
提交者:
kavyasrinet
12月 20, 2017
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差异文件
Polish layer documentation for fill_constant ops (#6808)
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f734d0cb
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1 changed file
with
45 addition
and
3 deletion
+45
-3
python/paddle/v2/fluid/layers/tensor.py
python/paddle/v2/fluid/layers/tensor.py
+45
-3
未找到文件。
python/paddle/v2/fluid/layers/tensor.py
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ad979089
...
...
@@ -66,9 +66,26 @@ def assign(input, output):
def
fill_constant
(
shape
,
dtype
,
value
,
out
=
None
):
"""
This function creates a tensor , with shape as mentioned in the input and
specified dtype and fills this up with a constant value that
comes in the input. It also sets the stop_gradient to be True.
**fill_constant**
This function creates a tensor of specified *shape* and
*dtype*, and initializes this with a constant supplied in *value*.
It also sets *stop_gradient* to True.
Args:
shape(tuple|list|None): Shape of output tensor
dtype(np.dtype|core.DataType|str): Data type of output tensor
value(float): Constant value to initialize the output tensor
out(Variable): Output Variable to initialize
Returns:
Variable: The tensor variable storing the output
Examples:
.. code-block:: python
data = fluid.layers.fill_constant(shape=[1], value=0, dtype='int64')
"""
helper
=
LayerHelper
(
"fill_constant"
,
**
locals
())
if
out
is
None
:
...
...
@@ -90,6 +107,31 @@ def fill_constant_batch_size_like(input,
value
,
input_dim_idx
=
0
,
output_dim_idx
=
0
):
"""
**fill_constant_batch_size_like**
This function creates a tensor of specified *shape*, *dtype* and batch size,
and initializes this with a constant supplied in *value*. The batch size is
obtained from the `input` tensor.
It also sets *stop_gradient* to True.
Args:
input(Variable): Tensor whose dimensions will be used to get batch size
shape(tuple|list|None): Shape of output tensor
dtype(np.dtype|core.DataType|str): Data type of output tensor
value(float): Constant value to initialize the output tensor
input_dim_idx(int): Index of input's batch size dimension
output_dim_idx(int): Index of output's batch size dimension
Returns:
Variable: The tensor variable storing the output
Examples:
.. code-block:: python
data = fluid.layers.fill_constant(shape=[1], value=0, dtype='int64')
"""
helper
=
LayerHelper
(
"fill_constant_batch_size_like"
,
**
locals
())
out
=
helper
.
create_tmp_variable
(
dtype
=
dtype
)
helper
.
append_op
(
...
...
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