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5e3ff5a4
编写于
6月 23, 2021
作者:
A
A. Unique TensorFlower
提交者:
TensorFlower Gardener
6月 23, 2021
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Add migration docstring for legacy_tf_layers/convolution.py
PiperOrigin-RevId: 381058890
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a5c6af3f
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keras/legacy_tf_layers/convolutional.py
keras/legacy_tf_layers/convolutional.py
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未找到文件。
keras/legacy_tf_layers/convolutional.py
浏览文件 @
5e3ff5a4
...
...
@@ -81,6 +81,32 @@ class Conv1D(keras_layers.Conv1D, base.Layer):
trainable: Boolean, if `True` also add variables to the graph collection
`GraphKeys.TRAINABLE_VARIABLES` (see `tf.Variable`).
name: A string, the name of the layer.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.Conv1D`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
conv = tf.compat.v1.layers.Conv1D(filters=3, kernel_size=3)
```
After:
```python
conv = tf.keras.layers.Conv1D(filters=3, kernels_size=3)
```
@end_compatibility
"""
def
__init__
(
self
,
filters
,
...
...
@@ -201,6 +227,38 @@ def conv1d(inputs,
Raises:
ValueError: if eager execution is enabled.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.Conv1D`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
y = tf.compat.v1.layers.conv1d(x, filters=3, kernel_size=3)
```
After:
To migrate code using TF1 functional layers use the [Keras Functional API]
(https://www.tensorflow.org/guide/keras/functional):
```python
x = tf.keras.Input((28, 28, 1))
y = tf.keras.layers.Conv1D(filters=3, kernels_size=3)(x)
model = tf.keras.Model(x, y)
```
@end_compatibility
"""
warnings
.
warn
(
'`tf.layers.conv1d` is deprecated and '
'will be removed in a future version. '
...
...
@@ -288,6 +346,33 @@ class Conv2D(keras_layers.Conv2D, base.Layer):
trainable: Boolean, if `True` also add variables to the graph collection
`GraphKeys.TRAINABLE_VARIABLES` (see `tf.Variable`).
name: A string, the name of the layer.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.Conv2D`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
conv = tf.compat.v1.layers.Conv2D(filters=3, kernel_size=3)
```
After:
```python
conv = tf.keras.layers.Conv2D(filters=3, kernels_size=3)
```
@end_compatibility
"""
def
__init__
(
self
,
filters
,
...
...
@@ -415,6 +500,38 @@ def conv2d(inputs,
Raises:
ValueError: if eager execution is enabled.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.Conv2D`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
y = tf.compat.v1.layers.conv2d(x, filters=3, kernel_size=3)
```
After:
To migrate code using TF1 functional layers use the [Keras Functional API]
(https://www.tensorflow.org/guide/keras/functional):
```python
x = tf.keras.Input((28, 28, 1))
y = tf.keras.layers.Conv2D(filters=3, kernels_size=3)(x)
model = tf.keras.Model(x, y)
```
@end_compatibility
"""
warnings
.
warn
(
'`tf.layers.conv2d` is deprecated and '
'will be removed in a future version. '
...
...
@@ -503,6 +620,33 @@ class Conv3D(keras_layers.Conv3D, base.Layer):
trainable: Boolean, if `True` also add variables to the graph collection
`GraphKeys.TRAINABLE_VARIABLES` (see `tf.Variable`).
name: A string, the name of the layer.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.Conv3D`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
conv = tf.compat.v1.layers.Conv3D(filters=3, kernel_size=3)
```
After:
```python
conv = tf.keras.layers.Conv3D(filters=3, kernels_size=3)
```
@end_compatibility
"""
def
__init__
(
self
,
filters
,
...
...
@@ -631,6 +775,38 @@ def conv3d(inputs,
Raises:
ValueError: if eager execution is enabled.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.Conv3D`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
y = tf.compat.v1.layers.conv3d(x, filters=3, kernel_size=3)
```
After:
To migrate code using TF1 functional layers use the [Keras Functional API]
(https://www.tensorflow.org/guide/keras/functional):
```python
x = tf.keras.Input((28, 28, 1))
y = tf.keras.layers.Conv3D(filters=3, kernels_size=3)(x)
model = tf.keras.Model(x, y)
```
@end_compatibility
"""
warnings
.
warn
(
'`tf.layers.conv3d` is deprecated and '
'will be removed in a future version. '
...
...
@@ -720,6 +896,33 @@ class SeparableConv1D(keras_layers.SeparableConv1D, base.Layer):
trainable: Boolean, if `True` also add variables to the graph collection
`GraphKeys.TRAINABLE_VARIABLES` (see `tf.Variable`).
name: A string, the name of the layer.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.SeparableConv1D`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
conv = tf.compat.v1.layers.SeparableConv1D(filters=3, kernel_size=3)
```
After:
```python
conv = tf.keras.layers.SeparableConv1D(filters=3, kernels_size=3)
```
@end_compatibility
"""
def
__init__
(
self
,
filters
,
...
...
@@ -836,6 +1039,33 @@ class SeparableConv2D(keras_layers.SeparableConv2D, base.Layer):
trainable: Boolean, if `True` also add variables to the graph collection
`GraphKeys.TRAINABLE_VARIABLES` (see `tf.Variable`).
name: A string, the name of the layer.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.SeparableConv2D`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
conv = tf.compat.v1.layers.SeparableConv2D(filters=3, kernel_size=3)
```
After:
```python
conv = tf.keras.layers.SeparableConv2D(filters=3, kernels_size=3)
```
@end_compatibility
"""
def
__init__
(
self
,
filters
,
...
...
@@ -978,6 +1208,38 @@ def separable_conv1d(inputs,
Raises:
ValueError: if eager execution is enabled.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.SeparableConv1D`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
y = tf.compat.v1.layers.separable_conv1d(x, filters=3, kernel_size=3)
```
After:
To migrate code using TF1 functional layers use the [Keras Functional API]
(https://www.tensorflow.org/guide/keras/functional):
```python
x = tf.keras.Input((28, 28, 1))
y = tf.keras.layers.SeparableConv1D(filters=3, kernels_size=3)(x)
model = tf.keras.Model(x, y)
```
@end_compatibility
"""
warnings
.
warn
(
'`tf.layers.separable_conv1d` is deprecated and '
'will be removed in a future version. '
...
...
@@ -1107,6 +1369,38 @@ def separable_conv2d(inputs,
Raises:
ValueError: if eager execution is enabled.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.SeparableConv2D`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
y = tf.compat.v1.layers.separable_conv2d(x, filters=3, kernel_size=3)
```
After:
To migrate code using TF1 functional layers use the [Keras Functional API]
(https://www.tensorflow.org/guide/keras/functional):
```python
x = tf.keras.Input((28, 28, 1))
y = tf.keras.layers.SeparableConv2D(filters=3, kernels_size=3)(x)
model = tf.keras.Model(x, y)
```
@end_compatibility
"""
warnings
.
warn
(
'`tf.layers.separable_conv2d` is deprecated and '
'will be removed in a future version. '
...
...
@@ -1188,6 +1482,33 @@ class Conv2DTranspose(keras_layers.Conv2DTranspose, base.Layer):
trainable: Boolean, if `True` also add variables to the graph collection
`GraphKeys.TRAINABLE_VARIABLES` (see `tf.Variable`).
name: A string, the name of the layer.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.Conv2DTranspose`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
conv = tf.compat.v1.layers.Conv2DTranspose(filters=3, kernel_size=3)
```
After:
```python
conv = tf.keras.layers.Conv2DTranspose(filters=3, kernels_size=3)
```
@end_compatibility
"""
def
__init__
(
self
,
filters
,
...
...
@@ -1303,6 +1624,38 @@ def conv2d_transpose(inputs,
Raises:
ValueError: if eager execution is enabled.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.Conv2DTranspose`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
y = tf.compat.v1.layers.conv2d_transpose(x, filters=3, kernel_size=3)
```
After:
To migrate code using TF1 functional layers use the [Keras Functional API]
(https://www.tensorflow.org/guide/keras/functional):
```python
x = tf.keras.Input((28, 28, 1))
y = tf.keras.layers.Conv2DTranspose(filters=3, kernels_size=3)(x)
model = tf.keras.Model(x, y)
```
@end_compatibility
"""
warnings
.
warn
(
'`tf.layers.conv2d_transpose` is deprecated and '
'will be removed in a future version. '
...
...
@@ -1375,6 +1728,33 @@ class Conv3DTranspose(keras_layers.Conv3DTranspose, base.Layer):
trainable: Boolean, if `True` also add variables to the graph collection
`GraphKeys.TRAINABLE_VARIABLES` (see `tf.Variable`).
name: A string, the name of the layer.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.Conv3DTranspose`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
conv = tf.compat.v1.layers.Conv3DTranspose(filters=3, kernel_size=3)
```
After:
```python
conv = tf.keras.layers.Conv3DTranspose(filters=3, kernels_size=3)
```
@end_compatibility
"""
def
__init__
(
self
,
...
...
@@ -1485,6 +1865,38 @@ def conv3d_transpose(inputs,
Raises:
ValueError: if eager execution is enabled.
@compatibility(TF2)
This API is not compatible with eager execution or `tf.function`.
Please refer to [tf.layers section of the migration guide]
(https://www.tensorflow.org/guide/migrate#models_based_on_tflayers)
to migrate a TensorFlow v1 model to Keras. The corresponding TensorFlow v2
layer is `tf.keras.layers.Conv3DTranspose`.
#### Structural Mapping to Native TF2
None of the supported arguments have changed name.
Before:
```python
y = tf.compat.v1.layers.conv3d_transpose(x, filters=3, kernel_size=3)
```
After:
To migrate code using TF1 functional layers use the [Keras Functional API]
(https://www.tensorflow.org/guide/keras/functional):
```python
x = tf.keras.Input((28, 28, 1))
y = tf.keras.layers.Conv3DTranspose(filters=3, kernels_size=3)(x)
model = tf.keras.Model(x, y)
```
@end_compatibility
"""
warnings
.
warn
(
'`tf.layers.conv3d_transpose` is deprecated and '
'will be removed in a future version. '
...
...
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