tf.contrib.framework

 

upper level

 

Modules

 

nest:

Functions for working with arbitrarily nested sequences of elements.

 

Classes

 

CriticalSection:

Critical section.

VariableDeviceChooser:

Device chooser for variables.

 

Functions

 

add_arg_scope(…):

Decorates a function with args so it can be used within an arg_scope.

add_model_variable(…):

Adds a variable to the GraphKeys.MODEL_VARIABLES collection.

arg_scope(…):

Stores the default arguments for the given set of list_ops.

arg_scoped_arguments(…):

Returns the list kwargs that arg_scope can set for a func.

assert_global_step(…):

DEPRECATED FUNCTION

assert_or_get_global_step(…):

Verifies that a global step tensor is valid or gets one if None is given.

assert_same_float_dtype(…):

Validate and return float type based on tensors and dtype.

assert_scalar(…):

assert_scalar_int(…):

Assert tensor is 0-D, of type tf.int32 or tf.int64.

assign_from_checkpoint(…):

Creates an operation to assign specific variables from a checkpoint.

assign_from_checkpoint_fn(…):

Returns a function that assigns specific variables from a checkpoint.

assign_from_values(…):

Creates an assignment operation from a given mapping.

assign_from_values_fn(…):

Returns a function that assigns specific variables from the given values.

convert_to_tensor_or_sparse_tensor(…):

Converts value to a SparseTensor or Tensor.

create_global_step(…):

Create global step tensor in graph. (deprecated)

current_arg_scope(…):

deprecated(…):

Decorator for marking functions or methods deprecated.

deprecated_arg_values(…):

Decorator for marking specific function argument values as deprecated.

deprecated_args(…):

Decorator for marking specific function arguments as deprecated.

filter_variables(…):

Filter a list of variables using regular expressions.

fuse_op(…):

Fuse subgraph between input_nodes and output_nodes into a single custom op.

get_global_step(…):

DEPRECATED FUNCTION

get_graph_from_inputs(…):

Returns the appropriate graph to use for the given inputs.

get_local_variables(…):

Gets the list of local variables, filtered by scope and/or suffix.

get_model_variables(…):

Gets the list of model variables, filtered by scope and/or suffix.

get_name_scope(…):

Returns the current name scope of the default graph.

get_or_create_global_step(…):

Returns and create (if necessary) the global step tensor. (deprecated)

get_trainable_variables(…):

Gets the list of trainable variables, filtered by scope and/or suffix.

get_unique_variable(…):

Gets the variable uniquely identified by that var_op_name.

get_variable_full_name(…):

Returns the full name of a variable.

get_variables(…):

Gets the list of variables, filtered by scope and/or suffix.

get_variables_by_name(…):

Gets the list of variables that were given that name.

get_variables_by_suffix(…):

Gets the list of variables that end with the given suffix.

get_variables_to_restore(…):

Gets the list of the variables to restore.

global_variable(…):

Create a variable with a value and add it to GraphKeys.GLOBAL_VARIABLES.

has_arg_scope(…):

Checks whether a func has been decorated with @add_arg_scope or not.

init_from_checkpoint(…):

Using assignment map initializes current variables with loaded tensors.

is_tensor(…):

Check whether x is of tensor type.

list_variables(…):

Returns list of all variables in the latest checkpoint.

load_and_remap_matrix_initializer(…):

Returns a var initializer for loading and remapping a 2-D (matrix) tensor.

load_checkpoint(…):

Returns CheckpointReader for latest checkpoint.

load_embedding_initializer(…):

Returns a variable initializer for loading pre-trained embeddings.

load_linear_multiclass_bias_initializer(…):

Loads pre-trained multi-class biases for linear models from checkpoint.

load_variable(…):

Returns a Tensor with the contents of the given variable in the checkpoint.

load_variable_slot_initializer(…):

Loads pre-trained multi-class slots for linear models from checkpoint.

local_variable(…):

Create a variable with a value and add it to GraphKeys.LOCAL_VARIABLES.

model_variable(…):

Gets an existing model variable with these parameters or creates a new one.

prepend_name_scope(…):

Prepends name scope to a name.

py_func(…):

Wraps a python function and uses it as a TensorFlow op.

reduce_sum_n(…):

Reduce tensors to a scalar sum.

remove_squeezable_dimensions(…):

Squeeze last dim if ranks of predictions and labels differ by 1. (deprecated)

sort(…):

Sorts a tensor.

strip_name_scope(…):

Removes name scope from a name.

variable(…):

Gets an existing variable with these parameters or creates a new one.

with_same_shape(…):

Assert tensors are the same shape, from the same graph.

with_shape(…):

Asserts tensor has expected shape.

zero_initializer(…):

Initialize ‘ref’ with all zeros, ref tensor should be uninitialized.