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tf.compat.v1.scatter_nd_update Applies sparse updates to individual values or slices in a Variable.
tf.compat.v1.scatter_nd_update(
ref, indices, updates, use_locking=True, 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 mu... | tensorflow.compat.v1.scatter_nd_update |
tf.compat.v1.scatter_sub Subtracts sparse updates to a variable reference.
tf.compat.v1.scatter_sub(
ref, indices, updates, use_locking=False, name=None
)
# Scalar indices
ref[indices, ...] -= updates[...]
# Vector indices (for each i)
ref[indices[i], ...] -= updates[i, ...]
# High rank indices (for each i, ...... | tensorflow.compat.v1.scatter_sub |
tf.compat.v1.scatter_update Applies sparse updates to a variable reference.
tf.compat.v1.scatter_update(
ref, indices, updates, use_locking=True, name=None
)
This operation computes # Scalar indices
ref[indices, ...] = updates[...]
# Vector indices (for each i)
ref[indices[i], ...] = updates[i, ...]
# High rank... | tensorflow.compat.v1.scatter_update |
tf.compat.v1.serialize_many_sparse Serialize N-minibatch SparseTensor into an [N, 3] Tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.serialize_many_sparse
tf.compat.v1.serialize_many_sparse(
sp_input, name=None, out_type=tf.dtypes.string
)
The SparseTens... | tensorflow.compat.v1.serialize_many_sparse |
tf.compat.v1.serialize_sparse Serialize a SparseTensor into a 3-vector (1-D Tensor) object. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.io.serialize_sparse
tf.compat.v1.serialize_sparse(
sp_input, name=None, out_type=tf.dtypes.string
)
Args
sp_input Th... | tensorflow.compat.v1.serialize_sparse |
tf.compat.v1.Session A class for running TensorFlow operations.
tf.compat.v1.Session(
target='', graph=None, config=None
)
A Session object encapsulates the environment in which Operation objects are executed, and Tensor objects are evaluated. For example: tf.compat.v1.disable_eager_execution() # need to disable ... | tensorflow.compat.v1.session |
tf.compat.v1.SessionLog A ProtocolMessage View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.summary.SessionLog
Attributes
checkpoint_path string checkpoint_path
msg string msg
status SessionStatus status
Class Variables
CHECKPOINT 3
STA... | tensorflow.compat.v1.sessionlog |
tf.compat.v1.setdiff1d Computes the difference between two lists of numbers or strings.
tf.compat.v1.setdiff1d(
x, y, index_dtype=tf.dtypes.int32, name=None
)
Given a list x and a list y, this operation returns a list out that represents all values that are in x but not in y. The returned list out is sorted in th... | tensorflow.compat.v1.setdiff1d |
Module: tf.compat.v1.sets Tensorflow set operations. Functions difference(...): Compute set difference of elements in last dimension of a and b. intersection(...): Compute set intersection of elements in last dimension of a and b. set_difference(...): Compute set difference of elements in last dimension of a and b. set... | tensorflow.compat.v1.sets |
tf.compat.v1.set_random_seed Sets the graph-level random seed for the default graph. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.random.set_random_seed
tf.compat.v1.set_random_seed(
seed
)
Operations that rely on a random seed actually derive it from two seeds:... | tensorflow.compat.v1.set_random_seed |
tf.compat.v1.shape Returns the shape of a tensor.
tf.compat.v1.shape(
input, name=None, out_type=tf.dtypes.int32
)
This operation returns a 1-D integer tensor representing the shape of input. For example: t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])
tf.shape(t) # [2, 2, 3]
Args
input... | tensorflow.compat.v1.shape |
Module: tf.compat.v1.signal Signal processing operations. See the tf.signal guide. Functions dct(...): Computes the 1D [Discrete Cosine Transform (DCT)][dct] of input. fft(...): Fast Fourier transform. fft2d(...): 2D fast Fourier transform. fft3d(...): 3D fast Fourier transform. fftshift(...): Shift the zero-frequency ... | tensorflow.compat.v1.signal |
tf.compat.v1.size Returns the size of a tensor.
tf.compat.v1.size(
input, name=None, out_type=tf.dtypes.int32
)
Returns a 0-D Tensor representing the number of elements in input of type out_type. Defaults to tf.int32. For example: t = tf.constant([[[1, 1, 1], [2, 2, 2]], [[3, 3, 3], [4, 4, 4]]])
tf.size(t) # 12
... | tensorflow.compat.v1.size |
tf.compat.v1.space_to_batch SpaceToBatch for 4-D tensors of type T. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.space_to_batch
tf.compat.v1.space_to_batch(
input, paddings, block_size=None, name=None, block_shape=None
)
This is a legacy version of the more g... | tensorflow.compat.v1.space_to_batch |
tf.compat.v1.space_to_depth SpaceToDepth for tensors of type T. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.nn.space_to_depth
tf.compat.v1.space_to_depth(
input, block_size, name=None, data_format='NHWC'
)
Rearranges blocks of spatial data, into depth. More spe... | tensorflow.compat.v1.space_to_depth |
Module: tf.compat.v1.sparse Sparse Tensor Representation. See also tf.sparse.SparseTensor. Classes class SparseConditionalAccumulator: A conditional accumulator for aggregating sparse gradients. class SparseTensor: Represents a sparse tensor. Functions add(...): Adds two tensors, at least one of each is a SparseTensor.... | tensorflow.compat.v1.sparse |
tf.compat.v1.SparseConditionalAccumulator A conditional accumulator for aggregating sparse gradients. Inherits From: ConditionalAccumulatorBase View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.SparseConditionalAccumulator
tf.compat.v1.SparseConditionalAccumulator(... | tensorflow.compat.v1.sparseconditionalaccumulator |
tf.compat.v1.SparseTensorValue SparseTensorValue(indices, values, dense_shape)
tf.compat.v1.SparseTensorValue(
indices, values, dense_shape
)
Attributes
indices
values
dense_shape | tensorflow.compat.v1.sparsetensorvalue |
tf.compat.v1.sparse_add Adds two tensors, at least one of each is a SparseTensor. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.add
tf.compat.v1.sparse_add(
a, b, threshold=None, thresh=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: ... | tensorflow.compat.v1.sparse_add |
tf.compat.v1.sparse_concat Concatenates a list of SparseTensor along the specified dimension. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.concat
tf.compat.v1.sparse_concat(
axis, sp_inputs, name=None, expand_nonconcat_dim=False, con... | tensorflow.compat.v1.sparse_concat |
tf.compat.v1.sparse_matmul Multiply matrix "a" by matrix "b".
tf.compat.v1.sparse_matmul(
a, b, transpose_a=False, transpose_b=False, a_is_sparse=False,
b_is_sparse=False, name=None
)
The inputs must be two-dimensional matrices and the inner dimension of "a" must match the outer dimension of "b". Both "a" and... | tensorflow.compat.v1.sparse_matmul |
tf.compat.v1.sparse_merge Combines a batch of feature ids and values into a single SparseTensor. (deprecated) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.merge
tf.compat.v1.sparse_merge(
sp_ids, sp_values, vocab_size, name=None, already_sorted=False
)
Wa... | tensorflow.compat.v1.sparse_merge |
tf.compat.v1.sparse_placeholder Inserts a placeholder for a sparse tensor that will be always fed. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.placeholder
tf.compat.v1.sparse_placeholder(
dtype, shape=None, name=None
)
Key Point: This sparse tensor will ... | tensorflow.compat.v1.sparse_placeholder |
tf.compat.v1.sparse_reduce_max Computes the max of elements across dimensions of a SparseTensor. (deprecated arguments) (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.reduce_max
tf.compat.v1.sparse_reduce_max(
sp_input, axis=None, keep... | tensorflow.compat.v1.sparse_reduce_max |
tf.compat.v1.sparse_reduce_max_sparse Computes the max of elements across dimensions of a SparseTensor. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.reduce_max_sparse
tf.compat.v1.sparse_reduce_max_sparse(
sp_input, axis=None, keepdi... | tensorflow.compat.v1.sparse_reduce_max_sparse |
tf.compat.v1.sparse_reduce_sum Computes the sum of elements across dimensions of a SparseTensor. (deprecated arguments) (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.reduce_sum
tf.compat.v1.sparse_reduce_sum(
sp_input, axis=None, keep... | tensorflow.compat.v1.sparse_reduce_sum |
tf.compat.v1.sparse_reduce_sum_sparse Computes the sum of elements across dimensions of a SparseTensor. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.reduce_sum_sparse
tf.compat.v1.sparse_reduce_sum_sparse(
sp_input, axis=None, keepdi... | tensorflow.compat.v1.sparse_reduce_sum_sparse |
tf.compat.v1.sparse_segment_mean Computes the mean along sparse segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.segment_mean
tf.compat.v1.sparse_segment_mean(
data, indices, segment_ids, name=None, num_segments=None
)
Read the section o... | tensorflow.compat.v1.sparse_segment_mean |
tf.compat.v1.sparse_segment_sqrt_n Computes the sum along sparse segments of a tensor divided by the sqrt(N). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.segment_sqrt_n
tf.compat.v1.sparse_segment_sqrt_n(
data, indices, segment_ids, name=None, num_segment... | tensorflow.compat.v1.sparse_segment_sqrt_n |
tf.compat.v1.sparse_segment_sum Computes the sum along sparse segments of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.segment_sum
tf.compat.v1.sparse_segment_sum(
data, indices, segment_ids, name=None, num_segments=None
)
Read the section on se... | tensorflow.compat.v1.sparse_segment_sum |
tf.compat.v1.sparse_split Split a SparseTensor into num_split tensors along axis. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.sparse.split
tf.compat.v1.sparse_split(
keyword_required=KeywordRequired(), sp_input=None, num_split=None, axis=N... | tensorflow.compat.v1.sparse_split |
tf.compat.v1.sparse_to_dense Converts a sparse representation into a dense tensor. (deprecated)
tf.compat.v1.sparse_to_dense(
sparse_indices, output_shape, sparse_values, default_value=0,
validate_indices=True, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructi... | tensorflow.compat.v1.sparse_to_dense |
Module: tf.compat.v1.spectral Public API for tf.spectral namespace. Functions dct(...): Computes the 1D [Discrete Cosine Transform (DCT)][dct] of input. fft(...): Fast Fourier transform. fft2d(...): 2D fast Fourier transform. fft3d(...): 3D fast Fourier transform. idct(...): Computes the 1D [Inverse Discrete Cosine Tra... | tensorflow.compat.v1.spectral |
tf.compat.v1.squeeze Removes dimensions of size 1 from the shape of a tensor. (deprecated arguments)
tf.compat.v1.squeeze(
input, axis=None, name=None, squeeze_dims=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (squeeze_dims). They will be removed in a future version. Instructions for updating: Use the axis argu... | tensorflow.compat.v1.squeeze |
Module: tf.compat.v1.strings Operations for working with string Tensors. Functions as_string(...): Converts each entry in the given tensor to strings. bytes_split(...): Split string elements of input into bytes. format(...): Formats a string template using a list of tensors. join(...): Perform element-wise concatenatio... | tensorflow.compat.v1.strings |
tf.compat.v1.strings.length Computes the length of each string given in the input tensor.
tf.compat.v1.strings.length(
input, name=None, unit='BYTE'
)
strings = tf.constant(['Hello','TensorFlow', '🙂'])
tf.strings.length(strings).numpy() # default counts bytes
array([ 5, 10, 4], dtype=int32)
tf.strings.length(st... | tensorflow.compat.v1.strings.length |
tf.compat.v1.strings.split Split elements of input based on sep.
tf.compat.v1.strings.split(
input=None, sep=None, maxsplit=-1, result_type='SparseTensor',
source=None, name=None
)
Let N be the size of input (typically N will be the batch size). Split each element of input based on sep and return a SparseTens... | tensorflow.compat.v1.strings.split |
tf.compat.v1.strings.substr Return substrings from Tensor of strings.
tf.compat.v1.strings.substr(
input, pos, len, name=None, unit='BYTE'
)
For each string in the input Tensor, creates a substring starting at index pos with a total length of len. If len defines a substring that would extend beyond the length of ... | tensorflow.compat.v1.strings.substr |
tf.compat.v1.string_split Split elements of source based on delimiter. (deprecated arguments)
tf.compat.v1.string_split(
source, sep=None, skip_empty=True, delimiter=None,
result_type='SparseTensor', name=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (delimiter). They will be removed in a future version. Ins... | tensorflow.compat.v1.string_split |
tf.compat.v1.string_to_hash_bucket Converts each string in the input Tensor to its hash mod by a number of buckets. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.strings.to_hash_bucket
tf.compat.v1.string_to_hash_bucket(
string_tensor=None, num_buckets=None, name=... | tensorflow.compat.v1.string_to_hash_bucket |
tf.compat.v1.string_to_number Converts each string in the input Tensor to the specified numeric type. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.strings.to_number
tf.compat.v1.string_to_number(
string_tensor=None, out_type=tf.dtypes.float32, name=None, input=No... | tensorflow.compat.v1.string_to_number |
tf.compat.v1.substr Return substrings from Tensor of strings.
tf.compat.v1.substr(
input, pos, len, name=None, unit='BYTE'
)
For each string in the input Tensor, creates a substring starting at index pos with a total length of len. If len defines a substring that would extend beyond the length of the input string... | tensorflow.compat.v1.substr |
Module: tf.compat.v1.summary Operations for writing summary data, for use in analysis and visualization. See the Summaries and TensorBoard guide. Classes class Event: A ProtocolMessage class FileWriter: Writes Summary protocol buffers to event files. class FileWriterCache: Cache for file writers. class SessionLog: A Pr... | tensorflow.compat.v1.summary |
tf.compat.v1.summary.all_v2_summary_ops Returns all V2-style summary ops defined in the current default graph.
tf.compat.v1.summary.all_v2_summary_ops()
This includes ops from TF 2.0 tf.summary and TF 1.x tf.contrib.summary (except for tf.contrib.summary.graph and tf.contrib.summary.import_event), but does not includ... | tensorflow.compat.v1.summary.all_v2_summary_ops |
tf.compat.v1.summary.audio Outputs a Summary protocol buffer with audio.
tf.compat.v1.summary.audio(
name, tensor, sample_rate, max_outputs=3, collections=None, family=None
)
The summary has up to max_outputs summary values containing audio. The audio is built from tensor which must be 3-D with shape [batch_size,... | tensorflow.compat.v1.summary.audio |
tf.compat.v1.summary.FileWriter Writes Summary protocol buffers to event files.
tf.compat.v1.summary.FileWriter(
logdir, graph=None, max_queue=10, flush_secs=120, graph_def=None,
filename_suffix=None, session=None
)
The FileWriter class provides a mechanism to create an event file in a given directory and add... | tensorflow.compat.v1.summary.filewriter |
tf.compat.v1.summary.FileWriterCache Cache for file writers. This class caches file writers, one per directory. Methods clear View source
@staticmethod
clear()
Clear cached summary writers. Currently only used for unit tests. get View source
@staticmethod
get(
logdir
)
Returns the FileWriter for the specified d... | tensorflow.compat.v1.summary.filewritercache |
tf.compat.v1.summary.get_summary_description Given a TensorSummary node_def, retrieve its SummaryDescription.
tf.compat.v1.summary.get_summary_description(
node_def
)
When a Summary op is instantiated, a SummaryDescription of associated metadata is stored in its NodeDef. This method retrieves the description.
... | tensorflow.compat.v1.summary.get_summary_description |
tf.compat.v1.summary.histogram Outputs a Summary protocol buffer with a histogram.
tf.compat.v1.summary.histogram(
name, values, collections=None, family=None
)
Adding a histogram summary makes it possible to visualize your data's distribution in TensorBoard. You can see a detailed explanation of the TensorBoard ... | tensorflow.compat.v1.summary.histogram |
tf.compat.v1.summary.image Outputs a Summary protocol buffer with images.
tf.compat.v1.summary.image(
name, tensor, max_outputs=3, collections=None, family=None
)
The summary has up to max_outputs summary values containing images. The images are built from tensor which must be 4-D with shape [batch_size, height, ... | tensorflow.compat.v1.summary.image |
tf.compat.v1.summary.initialize Initializes summary writing for graph execution mode.
tf.compat.v1.summary.initialize(
graph=None, session=None
)
This operation is a no-op when executing eagerly. This helper method provides a higher-level alternative to using tf.contrib.summary.summary_writer_initializer_op and t... | tensorflow.compat.v1.summary.initialize |
tf.compat.v1.summary.merge Merges summaries.
tf.compat.v1.summary.merge(
inputs, collections=None, name=None
)
This op creates a Summary protocol buffer that contains the union of all the values in the input summaries. When the Op is run, it reports an InvalidArgument error if multiple values in the summaries to ... | tensorflow.compat.v1.summary.merge |
tf.compat.v1.summary.merge_all Merges all summaries collected in the default graph.
tf.compat.v1.summary.merge_all(
key=tf.GraphKeys.SUMMARIES, scope=None, name=None
)
Args
key GraphKey used to collect the summaries. Defaults to GraphKeys.SUMMARIES.
scope Optional scope used to filter the summary o... | tensorflow.compat.v1.summary.merge_all |
tf.compat.v1.summary.scalar Outputs a Summary protocol buffer containing a single scalar value.
tf.compat.v1.summary.scalar(
name, tensor, collections=None, family=None
)
The generated Summary has a Tensor.proto containing the input Tensor.
Args
name A name for the generated node. Will also serve as the ... | tensorflow.compat.v1.summary.scalar |
tf.compat.v1.summary.SummaryDescription A ProtocolMessage
Attributes
type_hint string type_hint | tensorflow.compat.v1.summary.summarydescription |
tf.compat.v1.summary.TaggedRunMetadata A ProtocolMessage
Attributes
run_metadata bytes run_metadata
tag string tag | tensorflow.compat.v1.summary.taggedrunmetadata |
tf.compat.v1.summary.tensor_summary Outputs a Summary protocol buffer with a serialized tensor.proto.
tf.compat.v1.summary.tensor_summary(
name, tensor, summary_description=None, collections=None, summary_metadata=None,
family=None, display_name=None
)
Args
name A name for the generated node. If disp... | tensorflow.compat.v1.summary.tensor_summary |
tf.compat.v1.summary.text Summarizes textual data.
tf.compat.v1.summary.text(
name, tensor, collections=None
)
Text data summarized via this plugin will be visible in the Text Dashboard in TensorBoard. The standard TensorBoard Text Dashboard will render markdown in the strings, and will automatically organize 1d ... | tensorflow.compat.v1.summary.text |
tf.compat.v1.SummaryMetadata A ProtocolMessage
Attributes
data_class DataClass data_class
display_name string display_name
plugin_data PluginData plugin_data
summary_description string summary_description Child Classes class PluginData | tensorflow.compat.v1.summarymetadata |
tf.compat.v1.SummaryMetadata.PluginData A ProtocolMessage
Attributes
content bytes content
plugin_name string plugin_name | tensorflow.compat.v1.summarymetadata.plugindata |
Module: tf.compat.v1.sysconfig System configuration library. Functions get_build_info(...): Get a dictionary describing TensorFlow's build environment. get_compile_flags(...): Get the compilation flags for custom operators. get_include(...): Get the directory containing the TensorFlow C++ header files. get_lib(...): Ge... | tensorflow.compat.v1.sysconfig |
tf.compat.v1.tables_initializer Returns an Op that initializes all tables of the default graph. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.initializers.tables_initializer
tf.compat.v1.tables_initializer(
name='init_all_tables'
)
See the Low Level Intro guide, ... | tensorflow.compat.v1.tables_initializer |
tf.compat.v1.TensorInfo A ProtocolMessage
Attributes
composite_tensor CompositeTensor composite_tensor
coo_sparse CooSparse coo_sparse
dtype DataType dtype
name string name
tensor_shape TensorShapeProto tensor_shape Child Classes class CompositeTensor class CooSparse | tensorflow.compat.v1.tensorinfo |
tf.compat.v1.TensorInfo.CompositeTensor A ProtocolMessage
Attributes
components repeated TensorInfo components
type_spec TypeSpecProto type_spec | tensorflow.compat.v1.tensorinfo.compositetensor |
tf.compat.v1.TensorInfo.CooSparse A ProtocolMessage
Attributes
dense_shape_tensor_name string dense_shape_tensor_name
indices_tensor_name string indices_tensor_name
values_tensor_name string values_tensor_name | tensorflow.compat.v1.tensorinfo.coosparse |
Module: tf.compat.v1.test Testing. Classes class Benchmark: Abstract class that provides helpers for TensorFlow benchmarks. class StubOutForTesting: Support class for stubbing methods out for unit testing. class TestCase: Base class for tests that need to test TensorFlow. Functions assert_equal_graph_def(...): Asserts ... | tensorflow.compat.v1.test |
tf.compat.v1.test.assert_equal_graph_def Asserts that two GraphDefs are (mostly) the same.
tf.compat.v1.test.assert_equal_graph_def(
actual, expected, checkpoint_v2=False, hash_table_shared_name=False
)
Compares two GraphDef protos for equality, ignoring versions and ordering of nodes, attrs, and control inputs. ... | tensorflow.compat.v1.test.assert_equal_graph_def |
tf.compat.v1.test.compute_gradient Computes and returns the theoretical and numerical Jacobian. (deprecated)
tf.compat.v1.test.compute_gradient(
x, x_shape, y, y_shape, x_init_value=None, delta=0.001, init_targets=None,
extra_feed_dict=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a futur... | tensorflow.compat.v1.test.compute_gradient |
tf.compat.v1.test.compute_gradient_error Computes the gradient error. (deprecated)
tf.compat.v1.test.compute_gradient_error(
x, x_shape, y, y_shape, x_init_value=None, delta=0.001, init_targets=None,
extra_feed_dict=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructi... | tensorflow.compat.v1.test.compute_gradient_error |
tf.compat.v1.test.get_temp_dir Returns a temporary directory for use during tests.
tf.compat.v1.test.get_temp_dir()
There is no need to delete the directory after the test.
Returns The temporary directory. | tensorflow.compat.v1.test.get_temp_dir |
tf.compat.v1.test.StubOutForTesting Support class for stubbing methods out for unit testing.
tf.compat.v1.test.StubOutForTesting()
Sample Usage: You want os.path.exists() to always return true during testing. stubs = StubOutForTesting() stubs.Set(os.path, 'exists', lambda x: 1) ... stubs.CleanUp() The above changes o... | tensorflow.compat.v1.test.stuboutfortesting |
tf.compat.v1.test.test_src_dir_path Creates an absolute test srcdir path given a relative path.
tf.compat.v1.test.test_src_dir_path(
relative_path
)
Args
relative_path a path relative to tensorflow root. e.g. "core/platform".
Returns An absolute path to the linked in runfiles. | tensorflow.compat.v1.test.test_src_dir_path |
tf.compat.v1.TextLineReader A Reader that outputs the lines of a file delimited by newlines. Inherits From: ReaderBase
tf.compat.v1.TextLineReader(
skip_header_lines=None, name=None
)
Newlines are stripped from the output. See ReaderBase for supported methods.
Args
skip_header_lines An optional int. Defa... | tensorflow.compat.v1.textlinereader |
tf.compat.v1.TFRecordReader A Reader that outputs the records from a TFRecords file. Inherits From: ReaderBase
tf.compat.v1.TFRecordReader(
name=None, options=None
)
See ReaderBase for supported methods.
Args
name A name for the operation (optional).
options A TFRecordOptions object (optional). ... | tensorflow.compat.v1.tfrecordreader |
tf.compat.v1.to_bfloat16 Casts a tensor to type bfloat16. (deprecated)
tf.compat.v1.to_bfloat16(
x, name='ToBFloat16'
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.cast instead.
Args
x A Tensor or SparseTensor or IndexedSlices.
name ... | tensorflow.compat.v1.to_bfloat16 |
tf.compat.v1.to_complex128 Casts a tensor to type complex128. (deprecated)
tf.compat.v1.to_complex128(
x, name='ToComplex128'
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.cast instead.
Args
x A Tensor or SparseTensor or IndexedSlices. ... | tensorflow.compat.v1.to_complex128 |
tf.compat.v1.to_complex64 Casts a tensor to type complex64. (deprecated)
tf.compat.v1.to_complex64(
x, name='ToComplex64'
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.cast instead.
Args
x A Tensor or SparseTensor or IndexedSlices.
n... | tensorflow.compat.v1.to_complex64 |
tf.compat.v1.to_double Casts a tensor to type float64. (deprecated)
tf.compat.v1.to_double(
x, name='ToDouble'
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.cast instead.
Args
x A Tensor or SparseTensor or IndexedSlices.
name A nam... | tensorflow.compat.v1.to_double |
tf.compat.v1.to_float Casts a tensor to type float32. (deprecated)
tf.compat.v1.to_float(
x, name='ToFloat'
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.cast instead.
Args
x A Tensor or SparseTensor or IndexedSlices.
name A name f... | tensorflow.compat.v1.to_float |
tf.compat.v1.to_int32 Casts a tensor to type int32. (deprecated)
tf.compat.v1.to_int32(
x, name='ToInt32'
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.cast instead.
Args
x A Tensor or SparseTensor or IndexedSlices.
name A name for... | tensorflow.compat.v1.to_int32 |
tf.compat.v1.to_int64 Casts a tensor to type int64. (deprecated)
tf.compat.v1.to_int64(
x, name='ToInt64'
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Use tf.cast instead.
Args
x A Tensor or SparseTensor or IndexedSlices.
name A name for... | tensorflow.compat.v1.to_int64 |
Module: tf.compat.v1.tpu Ops related to Tensor Processing Units. Modules experimental module: Public API for tf.tpu.experimental namespace. Classes class CrossShardOptimizer: An optimizer that averages gradients across TPU shards. class PaddingSpec: Represents the type of padding policies for tpu.replicate. class XLAOp... | tensorflow.compat.v1.tpu |
tf.compat.v1.tpu.batch_parallel Shards computation along the batch dimension for parallel execution.
tf.compat.v1.tpu.batch_parallel(
computation, inputs=None, num_shards=1, infeed_queue=None,
device_assignment=None, name=None, xla_options=None
)
Convenience wrapper around shard(). inputs must be a list of Te... | tensorflow.compat.v1.tpu.batch_parallel |
tf.compat.v1.tpu.bfloat16_scope Scope class for bfloat16 variables so that the model uses custom getter.
@tf_contextlib.contextmanager
tf.compat.v1.tpu.bfloat16_scope(
name=None
)
This enables variables to be read as bfloat16 type when using get_variable. | tensorflow.compat.v1.tpu.bfloat16_scope |
tf.compat.v1.tpu.core Returns the device name for a core in a replicated TPU computation.
tf.compat.v1.tpu.core(
num
)
Args
num the virtual core number within each replica to which operators should be assigned.
Returns A device name, suitable for passing to tf.device(). | tensorflow.compat.v1.tpu.core |
tf.compat.v1.tpu.CrossShardOptimizer An optimizer that averages gradients across TPU shards. Inherits From: Optimizer
tf.compat.v1.tpu.CrossShardOptimizer(
opt, reduction=losses.Reduction.MEAN, name='CrossShardOptimizer',
group_assignment=None
)
Args
opt An existing Optimizer to encapsulate.
redu... | tensorflow.compat.v1.tpu.crossshardoptimizer |
tf.compat.v1.tpu.cross_replica_sum Sum the input tensor across replicas according to group_assignment.
tf.compat.v1.tpu.cross_replica_sum(
x, group_assignment=None, name=None
)
Args
x The local tensor to the sum.
group_assignment Optional 2d int32 lists with shape [num_groups, num_replicas_per_grou... | tensorflow.compat.v1.tpu.cross_replica_sum |
Module: tf.compat.v1.tpu.experimental Public API for tf.tpu.experimental namespace. Modules embedding module: Public API for tf.tpu.experimental.embedding namespace. Classes class AdagradParameters: Optimization parameters for Adagrad with TPU embeddings. class AdamParameters: Optimization parameters for Adam with TPU ... | tensorflow.compat.v1.tpu.experimental |
tf.compat.v1.tpu.experimental.AdagradParameters Optimization parameters for Adagrad with TPU embeddings.
tf.compat.v1.tpu.experimental.AdagradParameters(
learning_rate: float,
initial_accumulator: float = 0.1,
use_gradient_accumulation: bool = True,
clip_weight_min: Optional[float] = None,
clip_wei... | tensorflow.compat.v1.tpu.experimental.adagradparameters |
tf.compat.v1.tpu.experimental.AdamParameters Optimization parameters for Adam with TPU embeddings.
tf.compat.v1.tpu.experimental.AdamParameters(
learning_rate: float,
beta1: float = 0.9,
beta2: float = 0.999,
epsilon: float = 1e-08,
lazy_adam: bool = True,
sum_inside_sqrt: bool = True,
use_... | tensorflow.compat.v1.tpu.experimental.adamparameters |
Module: tf.compat.v1.tpu.experimental.embedding Public API for tf.tpu.experimental.embedding namespace. Classes class Adagrad: Optimization parameters for Adagrad with TPU embeddings. class Adam: Optimization parameters for Adam with TPU embeddings. class FeatureConfig: Configuration data for one embedding feature. cla... | tensorflow.compat.v1.tpu.experimental.embedding |
tf.compat.v1.tpu.experimental.embedding_column TPU version of tf.compat.v1.feature_column.embedding_column.
tf.compat.v1.tpu.experimental.embedding_column(
categorical_column, dimension, combiner='mean', initializer=None,
max_sequence_length=0, learning_rate_fn=None, embedding_lookup_device=None,
tensor_co... | tensorflow.compat.v1.tpu.experimental.embedding_column |
tf.compat.v1.tpu.experimental.FtrlParameters Optimization parameters for Ftrl with TPU embeddings.
tf.compat.v1.tpu.experimental.FtrlParameters(
learning_rate: float,
learning_rate_power: float = -0.5,
initial_accumulator_value: float = 0.1,
l1_regularization_strength: float = 0.0,
l2_regularizatio... | tensorflow.compat.v1.tpu.experimental.ftrlparameters |
tf.compat.v1.tpu.experimental.shared_embedding_columns TPU version of tf.compat.v1.feature_column.shared_embedding_columns.
tf.compat.v1.tpu.experimental.shared_embedding_columns(
categorical_columns, dimension, combiner='mean', initializer=None,
shared_embedding_collection_name=None, max_sequence_lengths=None... | tensorflow.compat.v1.tpu.experimental.shared_embedding_columns |
tf.compat.v1.tpu.experimental.StochasticGradientDescentParameters Optimization parameters for stochastic gradient descent for TPU embeddings.
tf.compat.v1.tpu.experimental.StochasticGradientDescentParameters(
learning_rate: float,
clip_weight_min: Optional[float] = None,
clip_weight_max: Optional[float] = ... | tensorflow.compat.v1.tpu.experimental.stochasticgradientdescentparameters |
tf.compat.v1.tpu.initialize_system Initializes a distributed TPU system for use with TensorFlow.
tf.compat.v1.tpu.initialize_system(
embedding_config=None, job=None, compilation_failure_closes_chips=True
)
Args
embedding_config If not None, a TPUEmbeddingConfiguration proto describing the desired configu... | tensorflow.compat.v1.tpu.initialize_system |
tf.compat.v1.tpu.outside_compilation Builds part of a computation outside any current TPU replicate scope.
tf.compat.v1.tpu.outside_compilation(
computation, *args, **kwargs
)
tf.tpu.outside_compilation() is used to run ops in computation on CPU instead of running on TPU. For example, users can run ops that are n... | tensorflow.compat.v1.tpu.outside_compilation |
tf.compat.v1.tpu.PaddingSpec Represents the type of padding policies for tpu.replicate.
Class Variables
AUTO <PaddingSpec.AUTO: 0>
POWER_OF_TWO <PaddingSpec.POWER_OF_TWO: 1> | tensorflow.compat.v1.tpu.paddingspec |
tf.compat.v1.tpu.replicate Builds a graph operator that runs a replicated TPU computation.
tf.compat.v1.tpu.replicate(
computation, inputs=None, infeed_queue=None, device_assignment=None, name=None,
maximum_shapes=None, padding_spec=None, xla_options=None
)
Example for the basic usage that inputs has static s... | tensorflow.compat.v1.tpu.replicate |
tf.compat.v1.tpu.rewrite Rewrites computation for execution on a TPU system.
tf.compat.v1.tpu.rewrite(
computation, inputs=None, infeed_queue=None, device_assignment=None, name=None,
xla_options=None
)
Args
computation A Python function that builds a computation to apply to the input. If the function... | tensorflow.compat.v1.tpu.rewrite |
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