diff options
author | Francois Chollet <fchollet@google.com> | 2017-08-23 14:14:54 -0700 |
---|---|---|
committer | TensorFlower Gardener <gardener@tensorflow.org> | 2017-08-23 14:22:12 -0700 |
commit | 3deb40b0d86196792b3755964cc8daf17bc3b3ed (patch) | |
tree | 416206acf431042d6dc23d3731e1417b1ab13230 | |
parent | 95db7ae8ff874fec1c97dea332f0f9292c810cb1 (diff) |
Make object layers public in tf.layers.
PiperOrigin-RevId: 166252713
20 files changed, 2134 insertions, 0 deletions
diff --git a/tensorflow/python/layers/layers.py b/tensorflow/python/layers/layers.py index 480baa4ea2..a6beeb8993 100644 --- a/tensorflow/python/layers/layers.py +++ b/tensorflow/python/layers/layers.py @@ -16,6 +16,27 @@ # pylint: disable=line-too-long """This library provides a set of high-level neural networks layers. +@@Dense +@@Dropout +@@Conv1D +@@Conv2D +@@Conv3D +@@SeparableConv2D +@@Conv2DTranspose +@@Conv3DTranspose +@@AveragePooling1D +@@MaxPooling1D +@@AveragePooling2D +@@MaxPooling2D +@@AveragePooling3D +@@MaxPooling3D +@@BatchNormalization + +@@Layer +@@Network +@@Input +@@InputSpec + @@dense @@dropout @@conv1d diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling1-d.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling1-d.pbtxt new file mode 100644 index 0000000000..d6e4987cb9 --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling1-d.pbtxt @@ -0,0 +1,119 @@ +path: "tensorflow.layers.AveragePooling1D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling1D\'>" + is_instance: "<class \'tensorflow.python.layers.pooling._Pooling1D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling2-d.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling2-d.pbtxt new file mode 100644 index 0000000000..4cc4d15bc1 --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling2-d.pbtxt @@ -0,0 +1,119 @@ +path: "tensorflow.layers.AveragePooling2D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling2D\'>" + is_instance: "<class \'tensorflow.python.layers.pooling._Pooling2D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling3-d.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling3-d.pbtxt new file mode 100644 index 0000000000..2849c25a1e --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-average-pooling3-d.pbtxt @@ -0,0 +1,119 @@ +path: "tensorflow.layers.AveragePooling3D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.AveragePooling3D\'>" + is_instance: "<class \'tensorflow.python.layers.pooling._Pooling3D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-batch-normalization.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-batch-normalization.pbtxt new file mode 100644 index 0000000000..90e553d24c --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-batch-normalization.pbtxt @@ -0,0 +1,118 @@ +path: "tensorflow.layers.BatchNormalization" +tf_class { + is_instance: "<class \'tensorflow.python.layers.normalization.BatchNormalization\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'axis\', \'momentum\', \'epsilon\', \'center\', \'scale\', \'beta_initializer\', \'gamma_initializer\', \'moving_mean_initializer\', \'moving_variance_initializer\', \'beta_regularizer\', \'gamma_regularizer\', \'beta_constraint\', \'gamma_constraint\', \'renorm\', \'renorm_clipping\', \'renorm_momentum\', \'fused\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'-1\', \'0.99\', \'0.001\', \'True\', \'True\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'<tensorflow.python.ops.init_ops.Ones object instance>\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'<tensorflow.python.ops.init_ops.Ones object instance>\', \'None\', \'None\', \'None\', \'None\', \'False\', \'None\', \'0.99\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-conv1-d.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-conv1-d.pbtxt new file mode 100644 index 0000000000..c6aa0ee8e2 --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-conv1-d.pbtxt @@ -0,0 +1,119 @@ +path: "tensorflow.layers.Conv1D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv1D\'>" + is_instance: "<class \'tensorflow.python.layers.convolutional._Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'1\', \'valid\', \'channels_last\', \'1\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-conv2-d-transpose.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-conv2-d-transpose.pbtxt new file mode 100644 index 0000000000..474415dd07 --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-conv2-d-transpose.pbtxt @@ -0,0 +1,120 @@ +path: "tensorflow.layers.Conv2DTranspose" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv2DTranspose\'>" + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv2D\'>" + is_instance: "<class \'tensorflow.python.layers.convolutional._Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-conv2-d.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-conv2-d.pbtxt new file mode 100644 index 0000000000..4697649d12 --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-conv2-d.pbtxt @@ -0,0 +1,119 @@ +path: "tensorflow.layers.Conv2D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv2D\'>" + is_instance: "<class \'tensorflow.python.layers.convolutional._Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'(1, 1)\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-conv3-d-transpose.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-conv3-d-transpose.pbtxt new file mode 100644 index 0000000000..c743177a16 --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-conv3-d-transpose.pbtxt @@ -0,0 +1,120 @@ +path: "tensorflow.layers.Conv3DTranspose" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv3DTranspose\'>" + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv3D\'>" + is_instance: "<class \'tensorflow.python.layers.convolutional._Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'valid\', \'channels_last\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-conv3-d.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-conv3-d.pbtxt new file mode 100644 index 0000000000..81ce14139a --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-conv3-d.pbtxt @@ -0,0 +1,119 @@ +path: "tensorflow.layers.Conv3D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv3D\'>" + is_instance: "<class \'tensorflow.python.layers.convolutional._Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1, 1)\', \'valid\', \'channels_last\', \'(1, 1, 1)\', \'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-dense.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-dense.pbtxt new file mode 100644 index 0000000000..43fcc93106 --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-dense.pbtxt @@ -0,0 +1,118 @@ +path: "tensorflow.layers.Dense" +tf_class { + is_instance: "<class \'tensorflow.python.layers.core.Dense\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'units\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'kernel_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'None\', \'True\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-dropout.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-dropout.pbtxt new file mode 100644 index 0000000000..d57e69b97c --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-dropout.pbtxt @@ -0,0 +1,118 @@ +path: "tensorflow.layers.Dropout" +tf_class { + is_instance: "<class \'tensorflow.python.layers.core.Dropout\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'rate\', \'noise_shape\', \'seed\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'0.5\', \'None\', \'None\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'training\'], varargs=None, keywords=None, defaults=[\'False\'], " + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-input-spec.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-input-spec.pbtxt new file mode 100644 index 0000000000..7c1d05cd2b --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-input-spec.pbtxt @@ -0,0 +1,9 @@ +path: "tensorflow.layers.InputSpec" +tf_class { + is_instance: "<class \'tensorflow.python.layers.base.InputSpec\'>" + is_instance: "<type \'object\'>" + member_method { + name: "__init__" + argspec: "args=[\'self\', \'dtype\', \'shape\', \'ndim\', \'max_ndim\', \'min_ndim\', \'axes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\', \'None\'], " + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-layer.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-layer.pbtxt new file mode 100644 index 0000000000..de22c7cf47 --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-layer.pbtxt @@ -0,0 +1,117 @@ +path: "tensorflow.layers.Layer" +tf_class { + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'trainable\', \'name\', \'dtype\'], varargs=None, keywords=kwargs, defaults=[\'True\', \'None\', \"<dtype: \'float32\'>\"], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=kwargs, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling1-d.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling1-d.pbtxt new file mode 100644 index 0000000000..ad4739fbd6 --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling1-d.pbtxt @@ -0,0 +1,119 @@ +path: "tensorflow.layers.MaxPooling1D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling1D\'>" + is_instance: "<class \'tensorflow.python.layers.pooling._Pooling1D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling2-d.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling2-d.pbtxt new file mode 100644 index 0000000000..c34b303514 --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling2-d.pbtxt @@ -0,0 +1,119 @@ +path: "tensorflow.layers.MaxPooling2D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling2D\'>" + is_instance: "<class \'tensorflow.python.layers.pooling._Pooling2D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling3-d.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling3-d.pbtxt new file mode 100644 index 0000000000..21c99fbf1a --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-max-pooling3-d.pbtxt @@ -0,0 +1,119 @@ +path: "tensorflow.layers.MaxPooling3D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.pooling.MaxPooling3D\'>" + is_instance: "<class \'tensorflow.python.layers.pooling._Pooling3D\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'valid\', \'channels_last\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-network.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-network.pbtxt new file mode 100644 index 0000000000..2fb39dda32 --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-network.pbtxt @@ -0,0 +1,126 @@ +path: "tensorflow.layers.Network" +tf_class { + is_instance: "<class \'tensorflow.python.layers.base.Network\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "input_spec" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'inputs\', \'outputs\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'_\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\', \'mask\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_layer" + argspec: "args=[\'self\', \'name\', \'index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], " + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.-separable-conv2-d.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.-separable-conv2-d.pbtxt new file mode 100644 index 0000000000..198eb0296f --- /dev/null +++ b/tensorflow/tools/api/golden/tensorflow.layers.-separable-conv2-d.pbtxt @@ -0,0 +1,120 @@ +path: "tensorflow.layers.SeparableConv2D" +tf_class { + is_instance: "<class \'tensorflow.python.layers.convolutional.SeparableConv2D\'>" + is_instance: "<class \'tensorflow.python.layers.convolutional.Conv2D\'>" + is_instance: "<class \'tensorflow.python.layers.convolutional._Conv\'>" + is_instance: "<class \'tensorflow.python.layers.base.Layer\'>" + is_instance: "<type \'object\'>" + member { + name: "graph" + mtype: "<type \'property\'>" + } + member { + name: "input" + mtype: "<type \'property\'>" + } + member { + name: "input_shape" + mtype: "<type \'property\'>" + } + member { + name: "losses" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "non_trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "output" + mtype: "<type \'property\'>" + } + member { + name: "output_shape" + mtype: "<type \'property\'>" + } + member { + name: "scope_name" + mtype: "<type \'property\'>" + } + member { + name: "trainable_variables" + mtype: "<type \'property\'>" + } + member { + name: "trainable_weights" + mtype: "<type \'property\'>" + } + member { + name: "updates" + mtype: "<type \'property\'>" + } + member { + name: "variables" + mtype: "<type \'property\'>" + } + member { + name: "weights" + mtype: "<type \'property\'>" + } + member_method { + name: "__init__" + argspec: "args=[\'self\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'depthwise_constraint\', \'pointwise_constraint\', \'bias_constraint\', \'trainable\', \'name\'], varargs=None, keywords=kwargs, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'(1, 1)\', \'1\', \'None\', \'True\', \'None\', \'None\', \'<tensorflow.python.ops.init_ops.Zeros object instance>\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "add_loss" + argspec: "args=[\'self\', \'losses\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_update" + argspec: "args=[\'self\', \'updates\', \'inputs\'], varargs=None, keywords=None, defaults=[\'None\'], " + } + member_method { + name: "add_variable" + argspec: "args=[\'self\', \'name\', \'shape\', \'dtype\', \'initializer\', \'regularizer\', \'trainable\', \'constraint\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'True\', \'None\'], " + } + member_method { + name: "apply" + argspec: "args=[\'self\', \'inputs\'], varargs=args, keywords=kwargs, defaults=None" + } + member_method { + name: "build" + argspec: "args=[\'self\', \'input_shape\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "call" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "count_params" + argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_input_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_losses_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_output_shape_at" + argspec: "args=[\'self\', \'node_index\'], varargs=None, keywords=None, defaults=None" + } + member_method { + name: "get_updates_for" + argspec: "args=[\'self\', \'inputs\'], varargs=None, keywords=None, defaults=None" + } +} diff --git a/tensorflow/tools/api/golden/tensorflow.layers.pbtxt b/tensorflow/tools/api/golden/tensorflow.layers.pbtxt index 56ce6ebc02..713cc4e9f0 100644 --- a/tensorflow/tools/api/golden/tensorflow.layers.pbtxt +++ b/tensorflow/tools/api/golden/tensorflow.layers.pbtxt @@ -1,5 +1,81 @@ path: "tensorflow.layers" tf_module { + member { + name: "AveragePooling1D" + mtype: "<type \'type\'>" + } + member { + name: "AveragePooling2D" + mtype: "<type \'type\'>" + } + member { + name: "AveragePooling3D" + mtype: "<type \'type\'>" + } + member { + name: "BatchNormalization" + mtype: "<type \'type\'>" + } + member { + name: "Conv1D" + mtype: "<type \'type\'>" + } + member { + name: "Conv2D" + mtype: "<type \'type\'>" + } + member { + name: "Conv2DTranspose" + mtype: "<type \'type\'>" + } + member { + name: "Conv3D" + mtype: "<type \'type\'>" + } + member { + name: "Conv3DTranspose" + mtype: "<type \'type\'>" + } + member { + name: "Dense" + mtype: "<type \'type\'>" + } + member { + name: "Dropout" + mtype: "<type \'type\'>" + } + member { + name: "InputSpec" + mtype: "<type \'type\'>" + } + member { + name: "Layer" + mtype: "<type \'type\'>" + } + member { + name: "MaxPooling1D" + mtype: "<type \'type\'>" + } + member { + name: "MaxPooling2D" + mtype: "<type \'type\'>" + } + member { + name: "MaxPooling3D" + mtype: "<type \'type\'>" + } + member { + name: "Network" + mtype: "<type \'type\'>" + } + member { + name: "SeparableConv2D" + mtype: "<type \'type\'>" + } + member_method { + name: "Input" + argspec: "args=[\'shape\', \'batch_size\', \'name\', \'dtype\', \'sparse\', \'tensor\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \"<dtype: \'float32\'>\", \'False\', \'None\'], " + } member_method { name: "average_pooling1d" argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " |