doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
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tf.experimental.numpy.random.uniform TensorFlow variant of NumPy's random.uniform.
tf.experimental.numpy.random.uniform(
low=0.0, high=1.0, size=None
)
See the NumPy documentation for numpy.random.uniform. | tensorflow.experimental.numpy.random.uniform |
tf.experimental.numpy.ravel TensorFlow variant of NumPy's ravel. View aliases Main aliases
tf.experimental.numpy.ndarray.ravel
tf.experimental.numpy.ravel(
a
)
Unsupported arguments: order. See the NumPy documentation for numpy.ravel. | tensorflow.experimental.numpy.ravel |
tf.experimental.numpy.real TensorFlow variant of NumPy's real.
tf.experimental.numpy.real(
val
)
See the NumPy documentation for numpy.real. | tensorflow.experimental.numpy.real |
tf.experimental.numpy.reciprocal TensorFlow variant of NumPy's reciprocal.
tf.experimental.numpy.reciprocal(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.reciprocal. | tensorflow.experimental.numpy.reciprocal |
tf.experimental.numpy.remainder TensorFlow variant of NumPy's remainder.
tf.experimental.numpy.remainder(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.remainder. | tensorflow.experimental.numpy.remainder |
tf.experimental.numpy.repeat TensorFlow variant of NumPy's repeat.
tf.experimental.numpy.repeat(
a, repeats, axis=None
)
See the NumPy documentation for numpy.repeat. | tensorflow.experimental.numpy.repeat |
tf.experimental.numpy.reshape TensorFlow variant of NumPy's reshape.
tf.experimental.numpy.reshape(
a, newshape, order='C'
)
order argument can only b 'C' or 'F'. See the NumPy documentation for numpy.reshape. | tensorflow.experimental.numpy.reshape |
tf.experimental.numpy.result_type TensorFlow variant of NumPy's result_type.
tf.experimental.numpy.result_type(
*arrays_and_dtypes
)
See the NumPy documentation for numpy.result_type. | tensorflow.experimental.numpy.result_type |
tf.experimental.numpy.roll TensorFlow variant of NumPy's roll.
tf.experimental.numpy.roll(
a, shift, axis=None
)
See the NumPy documentation for numpy.roll. | tensorflow.experimental.numpy.roll |
tf.experimental.numpy.rot90 TensorFlow variant of NumPy's rot90.
tf.experimental.numpy.rot90(
m, k=1, axes=(0, 1)
)
See the NumPy documentation for numpy.rot90. | tensorflow.experimental.numpy.rot90 |
tf.experimental.numpy.round TensorFlow variant of NumPy's round.
tf.experimental.numpy.round(
a, decimals=0
)
Unsupported arguments: out. See the NumPy documentation for numpy.round. | tensorflow.experimental.numpy.round |
tf.experimental.numpy.select TensorFlow variant of NumPy's select.
tf.experimental.numpy.select(
condlist, choicelist, default=0
)
See the NumPy documentation for numpy.select. | tensorflow.experimental.numpy.select |
tf.experimental.numpy.shape TensorFlow variant of NumPy's shape.
tf.experimental.numpy.shape(
a
)
See the NumPy documentation for numpy.shape. | tensorflow.experimental.numpy.shape |
tf.experimental.numpy.sign TensorFlow variant of NumPy's sign.
tf.experimental.numpy.sign(
x, out=None, where=None, **kwargs
)
See the NumPy documentation for numpy.sign. | tensorflow.experimental.numpy.sign |
tf.experimental.numpy.signbit TensorFlow variant of NumPy's signbit.
tf.experimental.numpy.signbit(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.signbit. | tensorflow.experimental.numpy.signbit |
tf.experimental.numpy.sin TensorFlow variant of NumPy's sin.
tf.experimental.numpy.sin(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.sin. | tensorflow.experimental.numpy.sin |
tf.experimental.numpy.sinc TensorFlow variant of NumPy's sinc.
tf.experimental.numpy.sinc(
x
)
See the NumPy documentation for numpy.sinc. | tensorflow.experimental.numpy.sinc |
tf.experimental.numpy.sinh TensorFlow variant of NumPy's sinh.
tf.experimental.numpy.sinh(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.sinh. | tensorflow.experimental.numpy.sinh |
tf.experimental.numpy.size TensorFlow variant of NumPy's size.
tf.experimental.numpy.size(
x, axis=None
)
Unsupported arguments: a. See the NumPy documentation for numpy.size. | tensorflow.experimental.numpy.size |
tf.experimental.numpy.sort TensorFlow variant of NumPy's sort.
tf.experimental.numpy.sort(
a, axis=-1, kind='quicksort', order=None
)
See the NumPy documentation for numpy.sort. | tensorflow.experimental.numpy.sort |
tf.experimental.numpy.split TensorFlow variant of NumPy's split.
tf.experimental.numpy.split(
ary, indices_or_sections, axis=0
)
See the NumPy documentation for numpy.split. | tensorflow.experimental.numpy.split |
tf.experimental.numpy.sqrt TensorFlow variant of NumPy's sqrt.
tf.experimental.numpy.sqrt(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.sqrt. | tensorflow.experimental.numpy.sqrt |
tf.experimental.numpy.square TensorFlow variant of NumPy's square.
tf.experimental.numpy.square(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.square. | tensorflow.experimental.numpy.square |
tf.experimental.numpy.squeeze TensorFlow variant of NumPy's squeeze.
tf.experimental.numpy.squeeze(
a, axis=None
)
See the NumPy documentation for numpy.squeeze. | tensorflow.experimental.numpy.squeeze |
tf.experimental.numpy.stack TensorFlow variant of NumPy's stack.
tf.experimental.numpy.stack(
arrays, axis=0
)
Unsupported arguments: out. See the NumPy documentation for numpy.stack. | tensorflow.experimental.numpy.stack |
tf.experimental.numpy.std TensorFlow variant of NumPy's std.
tf.experimental.numpy.std(
a, axis=None, keepdims=None
)
Unsupported arguments: dtype, out, ddof. See the NumPy documentation for numpy.std. | tensorflow.experimental.numpy.std |
tf.experimental.numpy.string_ bytes(iterable_of_ints) -> bytes
tf.experimental.numpy.string_(
*args, **kwargs
)
bytes(string, encoding[, errors]) -> bytes bytes(bytes_or_buffer) -> immutable copy of bytes_or_buffer bytes(int) -> bytes object of size given by the parameter initialized with null bytes bytes() -> em... | tensorflow.experimental.numpy.string_ |
tf.experimental.numpy.subtract TensorFlow variant of NumPy's subtract.
tf.experimental.numpy.subtract(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.subtract. | tensorflow.experimental.numpy.subtract |
tf.experimental.numpy.sum TensorFlow variant of NumPy's sum.
tf.experimental.numpy.sum(
a, axis=None, dtype=None, keepdims=None
)
Unsupported arguments: out, initial, where. See the NumPy documentation for numpy.sum. | tensorflow.experimental.numpy.sum |
tf.experimental.numpy.swapaxes TensorFlow variant of NumPy's swapaxes.
tf.experimental.numpy.swapaxes(
a, axis1, axis2
)
See the NumPy documentation for numpy.swapaxes. | tensorflow.experimental.numpy.swapaxes |
tf.experimental.numpy.take TensorFlow variant of NumPy's take.
tf.experimental.numpy.take(
a, indices, axis=None, out=None, mode='clip'
)
out argument is not supported, and default mode is clip. See the NumPy documentation for numpy.take. | tensorflow.experimental.numpy.take |
tf.experimental.numpy.take_along_axis TensorFlow variant of NumPy's take_along_axis.
tf.experimental.numpy.take_along_axis(
arr, indices, axis
)
See the NumPy documentation for numpy.take_along_axis. | tensorflow.experimental.numpy.take_along_axis |
tf.experimental.numpy.tan TensorFlow variant of NumPy's tan.
tf.experimental.numpy.tan(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.tan. | tensorflow.experimental.numpy.tan |
tf.experimental.numpy.tanh TensorFlow variant of NumPy's tanh.
tf.experimental.numpy.tanh(
x
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.tanh. | tensorflow.experimental.numpy.tanh |
tf.experimental.numpy.tensordot TensorFlow variant of NumPy's tensordot.
tf.experimental.numpy.tensordot(
a, b, axes=2
)
See the NumPy documentation for numpy.tensordot. | tensorflow.experimental.numpy.tensordot |
tf.experimental.numpy.tile TensorFlow variant of NumPy's tile.
tf.experimental.numpy.tile(
a, reps
)
See the NumPy documentation for numpy.tile. | tensorflow.experimental.numpy.tile |
tf.experimental.numpy.trace TensorFlow variant of NumPy's trace.
tf.experimental.numpy.trace(
a, offset=0, axis1=0, axis2=1, dtype=None
)
Unsupported arguments: out. See the NumPy documentation for numpy.trace. | tensorflow.experimental.numpy.trace |
tf.experimental.numpy.transpose TensorFlow variant of NumPy's transpose. View aliases Main aliases
tf.experimental.numpy.ndarray.transpose
tf.experimental.numpy.transpose(
a, axes=None
)
See the NumPy documentation for numpy.transpose. | tensorflow.experimental.numpy.transpose |
tf.experimental.numpy.tri TensorFlow variant of NumPy's tri.
tf.experimental.numpy.tri(
N, M=None, k=0, dtype=None
)
See the NumPy documentation for numpy.tri. | tensorflow.experimental.numpy.tri |
tf.experimental.numpy.tril TensorFlow variant of NumPy's tril.
tf.experimental.numpy.tril(
m, k=0
)
See the NumPy documentation for numpy.tril. | tensorflow.experimental.numpy.tril |
tf.experimental.numpy.triu TensorFlow variant of NumPy's triu.
tf.experimental.numpy.triu(
m, k=0
)
See the NumPy documentation for numpy.triu. | tensorflow.experimental.numpy.triu |
tf.experimental.numpy.true_divide TensorFlow variant of NumPy's true_divide.
tf.experimental.numpy.true_divide(
x1, x2
)
Unsupported arguments: out, where, casting, order, dtype, subok, signature, extobj. See the NumPy documentation for numpy.true_divide. | tensorflow.experimental.numpy.true_divide |
tf.experimental.numpy.uint16 Unsigned integer type, compatible with C unsigned short.
tf.experimental.numpy.uint16(
*args, **kwargs
)
Character code: 'H'. Canonical name: np.ushort. Alias on this platform: np.uint16: 16-bit unsigned integer (0 to 65535). Methods all
all()
Not implemented (virtual attribute) Cla... | tensorflow.experimental.numpy.uint16 |
tf.experimental.numpy.uint32 Unsigned integer type, compatible with C unsigned int.
tf.experimental.numpy.uint32(
*args, **kwargs
)
Character code: 'I'. Canonical name: np.uintc. Alias on this platform: np.uint32: 32-bit unsigned integer (0 to 4294967295). Methods all
all()
Not implemented (virtual attribute) C... | tensorflow.experimental.numpy.uint32 |
tf.experimental.numpy.uint64 Unsigned integer type, compatible with C unsigned long.
tf.experimental.numpy.uint64(
*args, **kwargs
)
Character code: 'L'. Canonical name: np.uint. Alias on this platform: np.uint64: 64-bit unsigned integer (0 to 18446744073709551615). Alias on this platform: np.uintp: Unsigned inte... | tensorflow.experimental.numpy.uint64 |
tf.experimental.numpy.uint8 Unsigned integer type, compatible with C unsigned char.
tf.experimental.numpy.uint8(
*args, **kwargs
)
Character code: 'B'. Canonical name: np.ubyte. Alias on this platform: np.uint8: 8-bit unsigned integer (0 to 255). Methods all
all()
Not implemented (virtual attribute) Class gener... | tensorflow.experimental.numpy.uint8 |
tf.experimental.numpy.unicode_ str(object='') -> str
tf.experimental.numpy.unicode_(
*args, **kwargs
)
str(bytes_or_buffer[, encoding[, errors]]) -> str Create a new string object from the given object. If encoding or errors is specified, then the object must expose a data buffer that will be decoded using the gi... | tensorflow.experimental.numpy.unicode_ |
tf.experimental.numpy.vander TensorFlow variant of NumPy's vander.
tf.experimental.numpy.vander(
x, N=None, increasing=False
)
See the NumPy documentation for numpy.vander. | tensorflow.experimental.numpy.vander |
tf.experimental.numpy.var TensorFlow variant of NumPy's var.
tf.experimental.numpy.var(
a, axis=None, dtype=None, out=None, ddof=0, keepdims=None
)
See the NumPy documentation for numpy.var. | tensorflow.experimental.numpy.var |
tf.experimental.numpy.vdot TensorFlow variant of NumPy's vdot.
tf.experimental.numpy.vdot(
a, b
)
See the NumPy documentation for numpy.vdot. | tensorflow.experimental.numpy.vdot |
tf.experimental.numpy.vsplit TensorFlow variant of NumPy's vsplit.
tf.experimental.numpy.vsplit(
ary, indices_or_sections
)
See the NumPy documentation for numpy.vsplit. | tensorflow.experimental.numpy.vsplit |
tf.experimental.numpy.vstack TensorFlow variant of NumPy's vstack.
tf.experimental.numpy.vstack(
tup
)
See the NumPy documentation for numpy.vstack. | tensorflow.experimental.numpy.vstack |
tf.experimental.numpy.where TensorFlow variant of NumPy's where.
tf.experimental.numpy.where(
condition, x=None, y=None
)
Raises ValueError if exactly one of x or y is not None. See the NumPy documentation for numpy.where. | tensorflow.experimental.numpy.where |
tf.experimental.numpy.zeros TensorFlow variant of NumPy's zeros.
tf.experimental.numpy.zeros(
shape, dtype=float
)
See the NumPy documentation for numpy.zeros. | tensorflow.experimental.numpy.zeros |
tf.experimental.numpy.zeros_like TensorFlow variant of NumPy's zeros_like.
tf.experimental.numpy.zeros_like(
a, dtype=None
)
Unsupported arguments: order, subok, shape. See the NumPy documentation for numpy.zeros_like. | tensorflow.experimental.numpy.zeros_like |
tf.experimental.Optional Represents a value that may or may not be present. View aliases Main aliases
tf.data.experimental.Optional Compat aliases for migration See Migration guide for more details. tf.compat.v1.data.experimental.Optional, tf.compat.v1.experimental.Optional A tf.experimental.Optional can represent ... | tensorflow.experimental.optional |
tf.experimental.register_filesystem_plugin Loads a TensorFlow FileSystem plugin. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.experimental.register_filesystem_plugin
tf.experimental.register_filesystem_plugin(
plugin_location
)
Args
plugin_location Path... | tensorflow.experimental.register_filesystem_plugin |
Module: tf.experimental.tensorrt Public API for tf.experimental.tensorrt namespace. Classes class ConversionParams: Parameters that are used for TF-TRT conversion. class Converter: An offline converter for TF-TRT transformation for TF 2.0 SavedModels. | tensorflow.experimental.tensorrt |
tf.experimental.tensorrt.ConversionParams Parameters that are used for TF-TRT conversion.
tf.experimental.tensorrt.ConversionParams(
rewriter_config_template=None,
max_workspace_size_bytes=DEFAULT_TRT_MAX_WORKSPACE_SIZE_BYTES,
precision_mode=TrtPrecisionMode.FP32, minimum_segment_size=3,
is_dynamic_op=... | tensorflow.experimental.tensorrt.conversionparams |
tf.experimental.tensorrt.Converter An offline converter for TF-TRT transformation for TF 2.0 SavedModels.
tf.experimental.tensorrt.Converter(
input_saved_model_dir=None, input_saved_model_tags=None,
input_saved_model_signature_key=None, conversion_params=None
)
Currently this is not available on Windows platf... | tensorflow.experimental.tensorrt.converter |
tf.extract_volume_patches Extract patches from input and put them in the "depth" output dimension. 3D extension of extract_image_patches. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.extract_volume_patches
tf.extract_volume_patches(
input, ksizes, strides, paddin... | tensorflow.extract_volume_patches |
tf.eye View source on GitHub Construct an identity matrix, or a batch of matrices. View aliases Main aliases
tf.linalg.eye Compat aliases for migration See Migration guide for more details. tf.compat.v1.eye, tf.compat.v1.linalg.eye
tf.eye(
num_rows, num_columns=None, batch_shape=None, dtype=tf.dtypes.fl... | tensorflow.eye |
Module: tf.feature_column Public API for tf.feature_column namespace. Functions bucketized_column(...): Represents discretized dense input bucketed by boundaries. categorical_column_with_hash_bucket(...): Represents sparse feature where ids are set by hashing. categorical_column_with_identity(...): A CategoricalColumn ... | tensorflow.feature_column |
tf.feature_column.bucketized_column View source on GitHub Represents discretized dense input bucketed by boundaries. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.bucketized_column
tf.feature_column.bucketized_column(
source_column, boundarie... | tensorflow.feature_column.bucketized_column |
tf.feature_column.categorical_column_with_hash_bucket View source on GitHub Represents sparse feature where ids are set by hashing. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.categorical_column_with_hash_bucket
tf.feature_column.categorical_co... | tensorflow.feature_column.categorical_column_with_hash_bucket |
tf.feature_column.categorical_column_with_identity View source on GitHub A CategoricalColumn that returns identity values. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.categorical_column_with_identity
tf.feature_column.categorical_column_with_id... | tensorflow.feature_column.categorical_column_with_identity |
tf.feature_column.categorical_column_with_vocabulary_file View source on GitHub A CategoricalColumn with a vocabulary file.
tf.feature_column.categorical_column_with_vocabulary_file(
key, vocabulary_file, vocabulary_size=None, dtype=tf.dtypes.string,
default_value=None, num_oov_buckets=0
)
Use this whe... | tensorflow.feature_column.categorical_column_with_vocabulary_file |
tf.feature_column.categorical_column_with_vocabulary_list View source on GitHub A CategoricalColumn with in-memory vocabulary. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.categorical_column_with_vocabulary_list
tf.feature_column.categorical_col... | tensorflow.feature_column.categorical_column_with_vocabulary_list |
tf.feature_column.crossed_column View source on GitHub Returns a column for performing crosses of categorical features. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.crossed_column
tf.feature_column.crossed_column(
keys, hash_bucket_size, has... | tensorflow.feature_column.crossed_column |
tf.feature_column.embedding_column View source on GitHub DenseColumn that converts from sparse, categorical input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.embedding_column
tf.feature_column.embedding_column(
categorical_column, dimensio... | tensorflow.feature_column.embedding_column |
tf.feature_column.indicator_column View source on GitHub Represents multi-hot representation of given categorical column. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.indicator_column
tf.feature_column.indicator_column(
categorical_column
)
... | tensorflow.feature_column.indicator_column |
tf.feature_column.make_parse_example_spec View source on GitHub Creates parsing spec dictionary from input feature_columns.
tf.feature_column.make_parse_example_spec(
feature_columns
)
The returned dictionary can be used as arg 'features' in tf.io.parse_example. Typical usage example: # Define features and... | tensorflow.feature_column.make_parse_example_spec |
tf.feature_column.numeric_column View source on GitHub Represents real valued or numerical features. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.numeric_column
tf.feature_column.numeric_column(
key, shape=(1,), default_value=None, dtype=tf.... | tensorflow.feature_column.numeric_column |
tf.feature_column.sequence_categorical_column_with_hash_bucket View source on GitHub A sequence of categorical terms where ids are set by hashing. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.sequence_categorical_column_with_hash_bucket
tf.featu... | tensorflow.feature_column.sequence_categorical_column_with_hash_bucket |
tf.feature_column.sequence_categorical_column_with_identity View source on GitHub Returns a feature column that represents sequences of integers. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.sequence_categorical_column_with_identity
tf.feature_c... | tensorflow.feature_column.sequence_categorical_column_with_identity |
tf.feature_column.sequence_categorical_column_with_vocabulary_file View source on GitHub A sequence of categorical terms where ids use a vocabulary file. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.sequence_categorical_column_with_vocabulary_file... | tensorflow.feature_column.sequence_categorical_column_with_vocabulary_file |
tf.feature_column.sequence_categorical_column_with_vocabulary_list View source on GitHub A sequence of categorical terms where ids use an in-memory list. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.sequence_categorical_column_with_vocabulary_list... | tensorflow.feature_column.sequence_categorical_column_with_vocabulary_list |
tf.feature_column.sequence_numeric_column View source on GitHub Returns a feature column that represents sequences of numeric data. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.sequence_numeric_column
tf.feature_column.sequence_numeric_column(
... | tensorflow.feature_column.sequence_numeric_column |
tf.feature_column.shared_embeddings List of dense columns that convert from sparse, categorical input.
tf.feature_column.shared_embeddings(
categorical_columns, dimension, combiner='mean', initializer=None,
shared_embedding_collection_name=None, ckpt_to_load_from=None,
tensor_name_in_ckpt=None, max_norm=No... | tensorflow.feature_column.shared_embeddings |
tf.feature_column.weighted_categorical_column View source on GitHub Applies weight values to a CategoricalColumn. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.feature_column.weighted_categorical_column
tf.feature_column.weighted_categorical_column(
categor... | tensorflow.feature_column.weighted_categorical_column |
tf.fill View source on GitHub Creates a tensor filled with a scalar value. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.fill
tf.fill(
dims, value, name=None
)
See also tf.ones, tf.zeros, tf.one_hot, tf.eye. This operation creates a tensor of shape dims an... | tensorflow.fill |
tf.fingerprint View source on GitHub Generates fingerprint values. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.fingerprint
tf.fingerprint(
data, method='farmhash64', name=None
)
Generates fingerprint values of data. Fingerprint op considers the first dim... | tensorflow.fingerprint |
tf.foldl View source on GitHub foldl on the list of tensors unpacked from elems on dimension 0. (deprecated argument values)
tf.foldl(
fn, elems, initializer=None, parallel_iterations=10, back_prop=True,
swap_memory=False, name=None
)
Warning: SOME ARGUMENT VALUES ARE DEPRECATED: (back_prop=False). The... | tensorflow.foldl |
tf.foldr View source on GitHub foldr on the list of tensors unpacked from elems on dimension 0. (deprecated argument values)
tf.foldr(
fn, elems, initializer=None, parallel_iterations=10, back_prop=True,
swap_memory=False, name=None
)
Warning: SOME ARGUMENT VALUES ARE DEPRECATED: (back_prop=False). The... | tensorflow.foldr |
tf.function View source on GitHub Compiles a function into a callable TensorFlow graph. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.function
tf.function(
func=None, input_signature=None, autograph=True, experimental_implements=None,
experimental_autog... | tensorflow.function |
tf.gather View source on GitHub Gather slices from params axis axis according to indices.
tf.gather(
params, indices, validate_indices=None, axis=None, batch_dims=0, name=None
)
Gather slices from params axis axis according to indices. indices must be an integer tensor of any dimension (usually 0-D or 1-... | tensorflow.gather |
tf.gather_nd View source on GitHub Gather slices from params into a Tensor with shape specified by indices.
tf.gather_nd(
params, indices, batch_dims=0, name=None
)
indices is an K-dimensional integer tensor, best thought of as a (K-1)-dimensional tensor of indices into params, where each element defines... | tensorflow.gather_nd |
tf.get_logger View source on GitHub Return TF logger instance. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.get_logger
tf.get_logger() | tensorflow.get_logger |
tf.get_static_value View source on GitHub Returns the constant value of the given tensor, if efficiently calculable. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.get_static_value
tf.get_static_value(
tensor, partial=False
)
This function attempts to parti... | tensorflow.get_static_value |
tf.gradients View source on GitHub Constructs symbolic derivatives of sum of ys w.r.t. x in xs.
tf.gradients(
ys, xs, grad_ys=None, name='gradients', gate_gradients=False,
aggregation_method=None, stop_gradients=None,
unconnected_gradients=tf.UnconnectedGradients.NONE
)
tf.gradients is only valid i... | tensorflow.gradients |
tf.GradientTape View source on GitHub Record operations for automatic differentiation. View aliases Main aliases
tf.autodiff.GradientTape Compat aliases for migration See Migration guide for more details. tf.compat.v1.GradientTape
tf.GradientTape(
persistent=False, watch_accessed_variables=True
)
Opera... | tensorflow.gradienttape |
tf.grad_pass_through View source on GitHub Creates a grad-pass-through op with the forward behavior provided in f. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.grad_pass_through
tf.grad_pass_through(
f
)
Use this function to wrap any op, maintaining its b... | tensorflow.grad_pass_through |
tf.Graph View source on GitHub A TensorFlow computation, represented as a dataflow graph. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.Graph
tf.Graph()
Graphs are used by tf.functions to represent the function's computations. Each graph contains a set of tf.O... | tensorflow.graph |
Module: tf.graph_util Helpers to manipulate a tensor graph in python. Functions import_graph_def(...): Imports the graph from graph_def into the current default Graph. (deprecated arguments) | tensorflow.graph_util |
tf.graph_util.import_graph_def View source on GitHub Imports the graph from graph_def into the current default Graph. (deprecated arguments) View aliases Main aliases
tf.import_graph_def Compat aliases for migration See Migration guide for more details. tf.compat.v1.graph_util.import_graph_def, tf.compat.v1.i... | tensorflow.graph_util.import_graph_def |
tf.group View source on GitHub Create an op that groups multiple operations. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.group
tf.group(
*inputs, **kwargs
)
When this op finishes, all ops in inputs have finished. This op has no output.
Note: In TensorFl... | tensorflow.group |
tf.guarantee_const Gives a guarantee to the TF runtime that the input tensor is a constant. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.guarantee_const
tf.guarantee_const(
input, name=None
)
The runtime is then free to make optimizations based on this. Only acc... | tensorflow.guarantee_const |
tf.hessians View source on GitHub Constructs the Hessian of sum of ys with respect to x in xs.
tf.hessians(
ys, xs, gate_gradients=False, aggregation_method=None, name='hessians'
)
hessians() adds ops to the graph to output the Hessian matrix of ys with respect to xs. It returns a list of Tensor of length ... | tensorflow.hessians |
tf.histogram_fixed_width View source on GitHub Return histogram of values. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.histogram_fixed_width
tf.histogram_fixed_width(
values, value_range, nbins=100, dtype=tf.dtypes.int32, name=None
)
Given the tensor val... | tensorflow.histogram_fixed_width |
tf.histogram_fixed_width_bins View source on GitHub Bins the given values for use in a histogram. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.histogram_fixed_width_bins
tf.histogram_fixed_width_bins(
values, value_range, nbins=100, dtype=tf.dtypes.int32, ... | tensorflow.histogram_fixed_width_bins |
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