doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
|---|---|
tf.compat.v1.NodeDef.AttrEntry A ProtocolMessage
Attributes
key string key
value AttrValue value | tensorflow.compat.v1.nodedef.attrentry |
tf.compat.v1.NodeDef.ExperimentalDebugInfo A ProtocolMessage
Attributes
original_func_names repeated string original_func_names
original_node_names repeated string original_node_names | tensorflow.compat.v1.nodedef.experimentaldebuginfo |
tf.compat.v1.norm Computes the norm of vectors, matrices, and tensors. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.linalg.norm
tf.compat.v1.norm(
tensor, ord='euclidean', axis=None, keepdims=None, name=None,
keep_dims=None
)
Warning: ... | tensorflow.compat.v1.norm |
tf.compat.v1.no_regularizer Use this function to prevent regularization of variables.
tf.compat.v1.no_regularizer(
_
) | tensorflow.compat.v1.no_regularizer |
tf.compat.v1.ones_like Creates a tensor with all elements set to 1.
tf.compat.v1.ones_like(
tensor, dtype=None, name=None, optimize=True
)
See also tf.ones. Given a single tensor (tensor), this operation returns a tensor of the same type and shape as tensor with all elements set to 1. Optionally, you can specify ... | tensorflow.compat.v1.ones_like |
tf.compat.v1.OptimizerOptions A ProtocolMessage
Attributes
do_common_subexpression_elimination bool do_common_subexpression_elimination
do_constant_folding bool do_constant_folding
do_function_inlining bool do_function_inlining
global_jit_level GlobalJitLevel global_jit_level
max_folded_c... | tensorflow.compat.v1.optimizeroptions |
tf.compat.v1.op_scope DEPRECATED. Same as name_scope above, just different argument order.
@tf_contextlib.contextmanager
tf.compat.v1.op_scope(
values, name, default_name=None
) | tensorflow.compat.v1.op_scope |
tf.compat.v1.pad Pads a tensor.
tf.compat.v1.pad(
tensor, paddings, mode='CONSTANT', name=None, constant_values=0
)
This operation pads a tensor according to the paddings you specify. paddings is an integer tensor with shape [n, 2], where n is the rank of tensor. For each dimension D of input, paddings[D, 0] indi... | tensorflow.compat.v1.pad |
tf.compat.v1.parse_example Parses Example protos into a dict of tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.parse_example
tf.compat.v1.parse_example(
serialized, features, name=None, example_names=None
)
Parses a number of serialized Example protos ... | tensorflow.compat.v1.parse_example |
tf.compat.v1.parse_single_example Parses a single Example proto. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.parse_single_example
tf.compat.v1.parse_single_example(
serialized, features, name=None, example_names=None
)
Similar to parse_example, except: For d... | tensorflow.compat.v1.parse_single_example |
tf.compat.v1.placeholder Inserts a placeholder for a tensor that will be always fed.
tf.compat.v1.placeholder(
dtype, shape=None, name=None
)
Key Point: This tensor will produce an error if evaluated. Its value must be fed using the feed_dict optional argument to Session.run(), Tensor.eval(), or Operation.run(). ... | tensorflow.compat.v1.placeholder |
tf.compat.v1.placeholder_with_default A placeholder op that passes through input when its output is not fed.
tf.compat.v1.placeholder_with_default(
input, shape, name=None
)
Args
input A Tensor. The default value to produce when output is not fed.
shape A tf.TensorShape or list of ints. The (possib... | tensorflow.compat.v1.placeholder_with_default |
tf.compat.v1.Print Prints a list of tensors. (deprecated)
tf.compat.v1.Print(
input_, data, message=None, first_n=None, summarize=None, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed after 2018-08-20. Instructions for updating: Use tf.print instead of tf.Print. Note that tf.print returns a n... | tensorflow.compat.v1.print |
Module: tf.compat.v1.profiler Public API for tf.profiler namespace. Classes class AdviceProto: A ProtocolMessage class GraphNodeProto: A ProtocolMessage class MultiGraphNodeProto: A ProtocolMessage class OpLogProto: A ProtocolMessage class ProfileOptionBuilder: Option Builder for Profiling API. class Profiler: TensorFl... | tensorflow.compat.v1.profiler |
tf.compat.v1.profiler.AdviceProto A ProtocolMessage
Attributes
checkers repeated CheckersEntry checkers Child Classes class Checker class CheckersEntry | tensorflow.compat.v1.profiler.adviceproto |
tf.compat.v1.profiler.AdviceProto.Checker A ProtocolMessage
Attributes
reports repeated string reports | tensorflow.compat.v1.profiler.adviceproto.checker |
tf.compat.v1.profiler.AdviceProto.CheckersEntry A ProtocolMessage
Attributes
key string key
value Checker value | tensorflow.compat.v1.profiler.adviceproto.checkersentry |
tf.compat.v1.profiler.advise Auto profile and advise.
tf.compat.v1.profiler.advise(
graph=None, run_meta=None, options=_DEFAULT_ADVISE_OPTIONS
)
Builds profiles and automatically check anomalies of various aspects. For more details: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/profiler/REA... | tensorflow.compat.v1.profiler.advise |
tf.compat.v1.profiler.GraphNodeProto A ProtocolMessage
Attributes
accelerator_exec_micros int64 accelerator_exec_micros
children repeated GraphNodeProto children
cpu_exec_micros int64 cpu_exec_micros
devices repeated string devices
exec_micros int64 exec_micros
float_ops int64 flo... | tensorflow.compat.v1.profiler.graphnodeproto |
tf.compat.v1.profiler.GraphNodeProto.InputShapesEntry A ProtocolMessage
Attributes
key int32 key
value TensorShapeProto value | tensorflow.compat.v1.profiler.graphnodeproto.inputshapesentry |
tf.compat.v1.profiler.MultiGraphNodeProto A ProtocolMessage
Attributes
accelerator_exec_micros int64 accelerator_exec_micros
children repeated MultiGraphNodeProto children
cpu_exec_micros int64 cpu_exec_micros
exec_micros int64 exec_micros
float_ops int64 float_ops
graph_nodes rep... | tensorflow.compat.v1.profiler.multigraphnodeproto |
tf.compat.v1.profiler.OpLogProto A ProtocolMessage
Attributes
id_to_string repeated IdToStringEntry id_to_string
log_entries repeated OpLogEntry log_entries Child Classes class IdToStringEntry | tensorflow.compat.v1.profiler.oplogproto |
tf.compat.v1.profiler.OpLogProto.IdToStringEntry A ProtocolMessage
Attributes
key int64 key
value string value | tensorflow.compat.v1.profiler.oplogproto.idtostringentry |
tf.compat.v1.profiler.profile Profile model.
tf.compat.v1.profiler.profile(
graph=None, run_meta=None, op_log=None, cmd='scope',
options=_DEFAULT_PROFILE_OPTIONS
)
Tutorials and examples can be found in: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/profiler/g3doc/python_api.md
Arg... | tensorflow.compat.v1.profiler.profile |
tf.compat.v1.profiler.ProfileOptionBuilder Option Builder for Profiling API.
tf.compat.v1.profiler.ProfileOptionBuilder(
options=None
)
For tutorial on the options, see https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/profiler/g3doc/options.md # Users can use pre-built options:
opts = (
tf... | tensorflow.compat.v1.profiler.profileoptionbuilder |
tf.compat.v1.profiler.Profiler TensorFlow multi-step profiler.
tf.compat.v1.profiler.Profiler(
graph=None, op_log=None
)
https://github.com/tensorflow/tensorflow/tree/master/tensorflow/core/profiler/README.md Typical use case:
# Currently we are only allowed to create 1 profiler per process.
profiler = Profil... | tensorflow.compat.v1.profiler.profiler |
tf.compat.v1.profiler.write_op_log Log provided 'op_log', and add additional model information below.
tf.compat.v1.profiler.write_op_log(
graph, log_dir, op_log=None, run_meta=None, add_trace=True
)
The API also assigns ops in tf.compat.v1.trainable_variables() an op type called '_trainable_variables'. The API al... | tensorflow.compat.v1.profiler.write_op_log |
Module: tf.compat.v1.python_io Python functions for directly manipulating TFRecord-formatted files. Classes class TFRecordCompressionType: The type of compression for the record. class TFRecordOptions: Options used for manipulating TFRecord files. class TFRecordWriter: A class to write records to a TFRecords file. Func... | tensorflow.compat.v1.python_io |
tf.compat.v1.py_func Wraps a python function and uses it as a TensorFlow op.
tf.compat.v1.py_func(
func, inp, Tout, stateful=True, name=None
)
Given a python function func, which takes numpy arrays as its arguments and returns numpy arrays as its outputs, wrap this function as an operation in a TensorFlow graph. ... | tensorflow.compat.v1.py_func |
Module: tf.compat.v1.quantization Public API for tf.quantization namespace. Functions dequantize(...): Dequantize the 'input' tensor into a float or bfloat16 Tensor. fake_quant_with_min_max_args(...): Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type. fake_quant_with_min_max_args_gradient(.... | tensorflow.compat.v1.quantization |
tf.compat.v1.quantize_v2 Please use tf.quantization.quantize instead.
tf.compat.v1.quantize_v2(
input, min_range, max_range, T, mode='MIN_COMBINED', name=None,
round_mode='HALF_AWAY_FROM_ZERO', narrow_range=False, axis=None,
ensure_minimum_range=0.01
) | tensorflow.compat.v1.quantize_v2 |
Module: tf.compat.v1.queue Public API for tf.queue namespace. Classes class FIFOQueue: A queue implementation that dequeues elements in first-in first-out order. class PaddingFIFOQueue: A FIFOQueue that supports batching variable-sized tensors by padding. class PriorityQueue: A queue implementation that dequeues elemen... | tensorflow.compat.v1.queue |
Module: tf.compat.v1.ragged Ragged Tensors. This package defines ops for manipulating ragged tensors (tf.RaggedTensor), which are tensors with non-uniform shapes. In particular, each RaggedTensor has one or more ragged dimensions, which are dimensions whose slices may have different lengths. For example, the inner (col... | tensorflow.compat.v1.ragged |
tf.compat.v1.ragged.constant_value Constructs a RaggedTensorValue from a nested Python list.
tf.compat.v1.ragged.constant_value(
pylist, dtype=None, ragged_rank=None, inner_shape=None,
row_splits_dtype='int64'
)
Warning: This function returns a RaggedTensorValue, not a RaggedTensor. If you wish to construct a... | tensorflow.compat.v1.ragged.constant_value |
tf.compat.v1.ragged.placeholder Creates a placeholder for a tf.RaggedTensor that will always be fed.
tf.compat.v1.ragged.placeholder(
dtype, ragged_rank, value_shape=None, name=None
)
Key Point: This ragged tensor will produce an error if evaluated. Its value must be fed using the feed_dict optional argument to S... | tensorflow.compat.v1.ragged.placeholder |
tf.compat.v1.ragged.RaggedTensorValue Represents the value of a RaggedTensor.
tf.compat.v1.ragged.RaggedTensorValue(
values, row_splits
)
Warning: RaggedTensorValue should only be used in graph mode; in eager mode, the tf.RaggedTensor class contains its value directly. See tf.RaggedTensor for a description of rag... | tensorflow.compat.v1.ragged.raggedtensorvalue |
Module: tf.compat.v1.random Public API for tf.random namespace. Modules experimental module: Public API for tf.random.experimental namespace. Classes class Algorithm: An enumeration. class Generator: Random-number generator. Functions all_candidate_sampler(...): Generate the set of all classes. categorical(...): Draws ... | tensorflow.compat.v1.random |
Module: tf.compat.v1.random.experimental Public API for tf.random.experimental namespace. Classes class Algorithm: An enumeration. class Generator: Random-number generator. Functions create_rng_state(...): Creates a RNG state from an integer or a vector. get_global_generator(...): Retrieves the global generator. set_gl... | tensorflow.compat.v1.random.experimental |
tf.compat.v1.random.stateless_multinomial Draws deterministic pseudorandom samples from a multinomial distribution. (deprecated)
tf.compat.v1.random.stateless_multinomial(
logits, num_samples, seed, output_dtype=tf.dtypes.int64, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future vers... | tensorflow.compat.v1.random.stateless_multinomial |
tf.compat.v1.random_normal_initializer Initializer that generates tensors with a normal distribution. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.initializers.random_normal
tf.compat.v1.random_normal_initializer(
mean=0.0, stddev=1.0, seed=None, dtype=tf.dtypes.... | tensorflow.compat.v1.random_normal_initializer |
tf.compat.v1.random_poisson Draws shape samples from each of the given Poisson distribution(s). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.random.poisson
tf.compat.v1.random_poisson(
lam, shape, dtype=tf.dtypes.float32, seed=None, name=None
)
lam is the rate p... | tensorflow.compat.v1.random_poisson |
tf.compat.v1.random_uniform_initializer Initializer that generates tensors with a uniform distribution. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.initializers.random_uniform
tf.compat.v1.random_uniform_initializer(
minval=0, maxval=None, seed=None, dtype=tf.dt... | tensorflow.compat.v1.random_uniform_initializer |
Module: tf.compat.v1.raw_ops Public API for tf.raw_ops namespace. Functions Abort(...): Raise a exception to abort the process when called. Abs(...): Computes the absolute value of a tensor. AccumulateNV2(...): Returns the element-wise sum of a list of tensors. AccumulatorApplyGradient(...): Applies a gradient to a g... | tensorflow.compat.v1.raw_ops |
tf.compat.v1.ReaderBase Base class for different Reader types, that produce a record every step.
tf.compat.v1.ReaderBase(
reader_ref, supports_serialize=False
)
Conceptually, Readers convert string 'work units' into records (key, value pairs). Typically the 'work units' are filenames and the records are extracted... | tensorflow.compat.v1.readerbase |
tf.compat.v1.reduce_all Computes the "logical and" of elements across dimensions of a tensor. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.reduce_all
tf.compat.v1.reduce_all(
input_tensor, axis=None, keepdims=None, name=None, reduction... | tensorflow.compat.v1.reduce_all |
tf.compat.v1.reduce_any Computes the "logical or" of elements across dimensions of a tensor. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.reduce_any
tf.compat.v1.reduce_any(
input_tensor, axis=None, keepdims=None, name=None, reduction_... | tensorflow.compat.v1.reduce_any |
tf.compat.v1.reduce_join Joins all strings into a single string, or joins along an axis. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.strings.reduce_join
tf.compat.v1.reduce_join(
inputs, axis=None, keep_dims=None, separator='', name=None,
reduction_indices=N... | tensorflow.compat.v1.reduce_join |
tf.compat.v1.reduce_logsumexp Computes log(sum(exp(elements across dimensions of a tensor))). (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.reduce_logsumexp
tf.compat.v1.reduce_logsumexp(
input_tensor, axis=None, keepdims=None, name=Non... | tensorflow.compat.v1.reduce_logsumexp |
tf.compat.v1.reduce_max Computes the maximum of elements across dimensions of a tensor. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.reduce_max
tf.compat.v1.reduce_max(
input_tensor, axis=None, keepdims=None, name=None, reduction_indic... | tensorflow.compat.v1.reduce_max |
tf.compat.v1.reduce_mean Computes the mean of elements across dimensions of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.reduce_mean
tf.compat.v1.reduce_mean(
input_tensor, axis=None, keepdims=None, name=None, reduction_indices=None,
keep_dims=... | tensorflow.compat.v1.reduce_mean |
tf.compat.v1.reduce_min Computes the minimum of elements across dimensions of a tensor. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.reduce_min
tf.compat.v1.reduce_min(
input_tensor, axis=None, keepdims=None, name=None, reduction_indic... | tensorflow.compat.v1.reduce_min |
tf.compat.v1.reduce_prod Computes the product of elements across dimensions of a tensor. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.reduce_prod
tf.compat.v1.reduce_prod(
input_tensor, axis=None, keepdims=None, name=None, reduction_in... | tensorflow.compat.v1.reduce_prod |
tf.compat.v1.reduce_sum Computes the sum of elements across dimensions of a tensor. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.reduce_sum
tf.compat.v1.reduce_sum(
input_tensor, axis=None, keepdims=None, name=None, reduction_indices=N... | tensorflow.compat.v1.reduce_sum |
tf.compat.v1.report_uninitialized_variables Adds ops to list the names of uninitialized variables.
tf.compat.v1.report_uninitialized_variables(
var_list=None, name='report_uninitialized_variables'
)
When run, it returns a 1-D tensor containing the names of uninitialized variables if there are any, or an empty arr... | tensorflow.compat.v1.report_uninitialized_variables |
tf.compat.v1.reset_default_graph Clears the default graph stack and resets the global default graph.
tf.compat.v1.reset_default_graph()
Note: The default graph is a property of the current thread. This function applies only to the current thread. Calling this function while a tf.compat.v1.Session or tf.compat.v1.Int... | tensorflow.compat.v1.reset_default_graph |
Module: tf.compat.v1.resource_loader Resource management library. Functions get_data_files_path(...): Get a direct path to the data files colocated with the script. get_path_to_datafile(...): Get the path to the specified file in the data dependencies. get_root_dir_with_all_resources(...): Get a root directory containi... | tensorflow.compat.v1.resource_loader |
tf.compat.v1.resource_loader.get_data_files_path Get a direct path to the data files colocated with the script.
tf.compat.v1.resource_loader.get_data_files_path()
Returns The directory where files specified in data attribute of py_test and py_binary are stored. | tensorflow.compat.v1.resource_loader.get_data_files_path |
tf.compat.v1.resource_loader.get_path_to_datafile Get the path to the specified file in the data dependencies.
tf.compat.v1.resource_loader.get_path_to_datafile(
path
)
The path is relative to tensorflow/
Args
path a string resource path relative to tensorflow/
Returns The path to the specified... | tensorflow.compat.v1.resource_loader.get_path_to_datafile |
tf.compat.v1.resource_loader.get_root_dir_with_all_resources Get a root directory containing all the data attributes in the build rule.
tf.compat.v1.resource_loader.get_root_dir_with_all_resources()
Returns The path to the specified file present in the data attribute of py_test or py_binary. Falls back to retu... | tensorflow.compat.v1.resource_loader.get_root_dir_with_all_resources |
tf.compat.v1.resource_loader.load_resource Load the resource at given path, where path is relative to tensorflow/.
tf.compat.v1.resource_loader.load_resource(
path
)
Args
path a string resource path relative to tensorflow/.
Returns The contents of that resource.
Raises
IOError If th... | tensorflow.compat.v1.resource_loader.load_resource |
tf.compat.v1.resource_loader.readahead_file_path Readahead files not implemented; simply returns given path.
tf.compat.v1.resource_loader.readahead_file_path(
path, readahead='128M'
) | tensorflow.compat.v1.resource_loader.readahead_file_path |
tf.compat.v1.resource_variables_enabled Returns True if resource variables are enabled.
tf.compat.v1.resource_variables_enabled()
Resource variables are improved versions of TensorFlow variables with a well-defined memory model. Accessing a resource variable reads its value, and all ops which access a specific read v... | tensorflow.compat.v1.resource_variables_enabled |
tf.compat.v1.reverse_sequence Reverses variable length slices. (deprecated arguments) (deprecated arguments)
tf.compat.v1.reverse_sequence(
input, seq_lengths, seq_axis=None, batch_axis=None, name=None, seq_dim=None,
batch_dim=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (seq_dim). They will be removed in a... | tensorflow.compat.v1.reverse_sequence |
tf.compat.v1.RunMetadata A ProtocolMessage
Attributes
cost_graph CostGraphDef cost_graph
function_graphs repeated FunctionGraphs function_graphs
partition_graphs repeated GraphDef partition_graphs
step_stats StepStats step_stats Child Classes class FunctionGraphs | tensorflow.compat.v1.runmetadata |
tf.compat.v1.RunMetadata.FunctionGraphs A ProtocolMessage
Attributes
partition_graphs repeated GraphDef partition_graphs
post_optimization_graph GraphDef post_optimization_graph
pre_optimization_graph GraphDef pre_optimization_graph | tensorflow.compat.v1.runmetadata.functiongraphs |
tf.compat.v1.RunOptions A ProtocolMessage
Attributes
debug_options DebugOptions debug_options
experimental Experimental experimental
inter_op_thread_pool int32 inter_op_thread_pool
output_partition_graphs bool output_partition_graphs
report_tensor_allocations_upon_oom bool report_tensor... | tensorflow.compat.v1.runoptions |
tf.compat.v1.RunOptions.Experimental A ProtocolMessage
Attributes
collective_graph_key int64 collective_graph_key
run_handler_pool_options RunHandlerPoolOptions run_handler_pool_options
use_run_handler_pool bool use_run_handler_pool Child Classes class RunHandlerPoolOptions | tensorflow.compat.v1.runoptions.experimental |
tf.compat.v1.RunOptions.Experimental.RunHandlerPoolOptions A ProtocolMessage
Attributes
priority int64 priority | tensorflow.compat.v1.runoptions.experimental.runhandlerpooloptions |
Module: tf.compat.v1.saved_model Public API for tf.saved_model namespace. Modules builder module: SavedModel builder. constants module: Constants for SavedModel save and restore operations. experimental module: Public API for tf.saved_model.experimental namespace. loader module: Loader functionality for SavedModel with... | tensorflow.compat.v1.saved_model |
Module: tf.compat.v1.saved_model.builder SavedModel builder. Builds a SavedModel that can be saved to storage, is language neutral, and enables systems to produce, consume, or transform TensorFlow Models. Classes class SavedModelBuilder: Builds the SavedModel protocol buffer and saves variables and assets. | tensorflow.compat.v1.saved_model.builder |
tf.compat.v1.saved_model.build_signature_def Utility function to build a SignatureDef protocol buffer. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.saved_model.signature_def_utils.build_signature_def
tf.compat.v1.saved_model.build_signature_def(
inputs=None, outp... | tensorflow.compat.v1.saved_model.build_signature_def |
tf.compat.v1.saved_model.build_tensor_info Utility function to build TensorInfo proto from a Tensor. (deprecated) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.saved_model.utils.build_tensor_info
tf.compat.v1.saved_model.build_tensor_info(
tensor
)
Warning: THIS ... | tensorflow.compat.v1.saved_model.build_tensor_info |
tf.compat.v1.saved_model.classification_signature_def Creates classification signature from given examples and predictions. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.saved_model.signature_def_utils.classification_signature_def
tf.compat.v1.saved_model.classificati... | tensorflow.compat.v1.saved_model.classification_signature_def |
Module: tf.compat.v1.saved_model.constants Constants for SavedModel save and restore operations.
Other Members
ASSETS_DIRECTORY 'assets'
ASSETS_KEY 'saved_model_assets'
DEBUG_DIRECTORY 'debug'
DEBUG_INFO_FILENAME_PB 'saved_model_debug_info.pb'
LEGACY_INIT_OP_KEY 'legacy_init_op'
MAI... | tensorflow.compat.v1.saved_model.constants |
tf.compat.v1.saved_model.contains_saved_model Checks whether the provided export directory could contain a SavedModel. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.saved_model.loader.maybe_saved_model_directory, tf.compat.v1.saved_model.maybe_saved_model_directory
tf... | tensorflow.compat.v1.saved_model.contains_saved_model |
Module: tf.compat.v1.saved_model.experimental Public API for tf.saved_model.experimental namespace. Classes class VariablePolicy: Enum defining options for variable handling when saving. Functions save(...): Exports the Trackable object obj to SavedModel format. | tensorflow.compat.v1.saved_model.experimental |
tf.compat.v1.saved_model.get_tensor_from_tensor_info Returns the Tensor or CompositeTensor described by a TensorInfo proto. (deprecated) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.saved_model.utils.get_tensor_from_tensor_info
tf.compat.v1.saved_model.get_tensor_fro... | tensorflow.compat.v1.saved_model.get_tensor_from_tensor_info |
tf.compat.v1.saved_model.is_valid_signature Determine whether a SignatureDef can be served by TensorFlow Serving. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.saved_model.signature_def_utils.is_valid_signature
tf.compat.v1.saved_model.is_valid_signature(
signatur... | tensorflow.compat.v1.saved_model.is_valid_signature |
tf.compat.v1.saved_model.load Loads the model from a SavedModel as specified by tags. (deprecated) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.saved_model.loader.load
tf.compat.v1.saved_model.load(
sess, tags, export_dir, import_scope=None, **saver_kwargs
)
War... | tensorflow.compat.v1.saved_model.load |
Module: tf.compat.v1.saved_model.loader Loader functionality for SavedModel with hermetic, language-neutral exports. Load and restore capability for a SavedModel, which may include multiple meta graph defs. Each SavedModel is associated with a single checkpoint. Each meta graph def is saved with one or more tags, which... | tensorflow.compat.v1.saved_model.loader |
Module: tf.compat.v1.saved_model.main_op SavedModel main op. Builds a main op that defines the sequence of ops to be run as part of the SavedModel load/restore operations. Functions main_op(...): Returns a main op to init variables and tables. (deprecated) main_op_with_restore(...): Returns a main op to init variables,... | tensorflow.compat.v1.saved_model.main_op |
tf.compat.v1.saved_model.main_op.main_op Returns a main op to init variables and tables. (deprecated)
tf.compat.v1.saved_model.main_op.main_op()
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: This function will only be available through the v1 compatibility li... | tensorflow.compat.v1.saved_model.main_op.main_op |
tf.compat.v1.saved_model.main_op_with_restore Returns a main op to init variables, tables and restore the graph. (deprecated) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.saved_model.main_op.main_op_with_restore
tf.compat.v1.saved_model.main_op_with_restore(
rest... | tensorflow.compat.v1.saved_model.main_op_with_restore |
tf.compat.v1.saved_model.predict_signature_def Creates prediction signature from given inputs and outputs. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.saved_model.signature_def_utils.predict_signature_def
tf.compat.v1.saved_model.predict_signature_def(
inputs, o... | tensorflow.compat.v1.saved_model.predict_signature_def |
tf.compat.v1.saved_model.regression_signature_def Creates regression signature from given examples and predictions. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.saved_model.signature_def_utils.regression_signature_def
tf.compat.v1.saved_model.regression_signature_def... | tensorflow.compat.v1.saved_model.regression_signature_def |
Module: tf.compat.v1.saved_model.signature_constants Signature constants for SavedModel save and restore operations.
Other Members
CLASSIFY_INPUTS 'inputs'
CLASSIFY_METHOD_NAME 'tensorflow/serving/classify'
CLASSIFY_OUTPUT_CLASSES 'classes'
CLASSIFY_OUTPUT_SCORES 'scores'
DEFAULT_SERVING_... | tensorflow.compat.v1.saved_model.signature_constants |
Module: tf.compat.v1.saved_model.signature_def_utils SignatureDef utility functions. Utility functions for building and inspecting SignatureDef protos. Classes class MethodNameUpdater: Updates the method name(s) of the SavedModel stored in the given path. Functions build_signature_def(...): Utility function to build a ... | tensorflow.compat.v1.saved_model.signature_def_utils |
tf.compat.v1.saved_model.signature_def_utils.MethodNameUpdater Updates the method name(s) of the SavedModel stored in the given path.
tf.compat.v1.saved_model.signature_def_utils.MethodNameUpdater(
export_dir
)
The MethodNameUpdater class provides the functionality to update the method name field in the signature... | tensorflow.compat.v1.saved_model.signature_def_utils.methodnameupdater |
tf.compat.v1.saved_model.simple_save Convenience function to build a SavedModel suitable for serving. (deprecated)
tf.compat.v1.saved_model.simple_save(
session, export_dir, inputs, outputs, legacy_init_op=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updati... | tensorflow.compat.v1.saved_model.simple_save |
Module: tf.compat.v1.saved_model.tag_constants Common tags used for graphs in SavedModel.
Other Members
GPU 'gpu'
SERVING 'serve'
TPU 'tpu'
TRAINING 'train' | tensorflow.compat.v1.saved_model.tag_constants |
Module: tf.compat.v1.saved_model.utils SavedModel utility functions. Utility functions to assist with setup and construction of the SavedModel proto. Functions build_tensor_info(...): Utility function to build TensorInfo proto from a Tensor. (deprecated) get_tensor_from_tensor_info(...): Returns the Tensor or Composite... | tensorflow.compat.v1.saved_model.utils |
tf.compat.v1.scalar_mul Multiplies a scalar times a Tensor or IndexedSlices object. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.scalar_mul
tf.compat.v1.scalar_mul(
scalar, x, name=None
)
Intended for use in gradient code which might deal with IndexedSlices... | tensorflow.compat.v1.scalar_mul |
tf.compat.v1.scan scan on the list of tensors unpacked from elems on dimension 0.
tf.compat.v1.scan(
fn, elems, initializer=None, parallel_iterations=10, back_prop=True,
swap_memory=False, infer_shape=True, reverse=False, name=None
)
See also tf.map_fn. The simplest version of scan repeatedly applies the call... | tensorflow.compat.v1.scan |
tf.compat.v1.scatter_add Adds sparse updates to the variable referenced by resource.
tf.compat.v1.scatter_add(
ref, indices, updates, use_locking=False, name=None
)
This operation computes # Scalar indices
ref[indices, ...] += updates[...]
# Vector indices (for each i)
ref[indices[i], ...] += updates[i, ...]
# ... | tensorflow.compat.v1.scatter_add |
tf.compat.v1.scatter_div Divides a variable reference by sparse updates.
tf.compat.v1.scatter_div(
ref, indices, updates, use_locking=False, name=None
)
This operation computes # Scalar indices
ref[indices, ...] /= updates[...]
# Vector indices (for each i)
ref[indices[i], ...] /= updates[i, ...]
# High rank in... | tensorflow.compat.v1.scatter_div |
tf.compat.v1.scatter_max Reduces sparse updates into a variable reference using the max operation.
tf.compat.v1.scatter_max(
ref, indices, updates, use_locking=False, name=None
)
This operation computes # Scalar indices
ref[indices, ...] = max(ref[indices, ...], updates[...])
# Vector indices (for each i)
ref[in... | tensorflow.compat.v1.scatter_max |
tf.compat.v1.scatter_min Reduces sparse updates into a variable reference using the min operation.
tf.compat.v1.scatter_min(
ref, indices, updates, use_locking=False, name=None
)
This operation computes # Scalar indices
ref[indices, ...] = min(ref[indices, ...], updates[...])
# Vector indices (for each i)
ref[in... | tensorflow.compat.v1.scatter_min |
tf.compat.v1.scatter_mul Multiplies sparse updates into a variable reference.
tf.compat.v1.scatter_mul(
ref, indices, updates, use_locking=False, name=None
)
This operation computes # Scalar indices
ref[indices, ...] *= updates[...]
# Vector indices (for each i)
ref[indices[i], ...] *= updates[i, ...]
# High ra... | tensorflow.compat.v1.scatter_mul |
tf.compat.v1.scatter_nd_add Applies sparse addition to individual values or slices in a Variable.
tf.compat.v1.scatter_nd_add(
ref, indices, updates, use_locking=False, name=None
)
ref is a Tensor with rank P and indices is a Tensor of rank Q. indices must be integer tensor, containing indices into ref. It must b... | tensorflow.compat.v1.scatter_nd_add |
tf.compat.v1.scatter_nd_sub Applies sparse subtraction to individual values or slices in a Variable.
tf.compat.v1.scatter_nd_sub(
ref, indices, updates, use_locking=False, name=None
)
ref is a Tensor with rank P and indices is a Tensor of rank Q. indices must be integer tensor, containing indices into ref. It mus... | tensorflow.compat.v1.scatter_nd_sub |
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