Retrieval Sources
Collection
Retrieval sources for retrieval-augmented code generation. • 6 items • Updated • 7
doc_content stringlengths 1 386k | doc_id stringlengths 5 188 |
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tf.AggregationMethod View source on GitHub A class listing aggregation methods used to combine gradients. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.AggregationMethod Computing partial derivatives can require aggregating gradient contributions. This class lis... | tensorflow.aggregationmethod |
tf.argsort View source on GitHub Returns the indices of a tensor that give its sorted order along an axis. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.argsort
tf.argsort(
values, axis=-1, direction='ASCENDING', stable=False, name=None
)
For a 1D tensor, ... | tensorflow.argsort |
Module: tf.audio Public API for tf.audio namespace. Functions decode_wav(...): Decode a 16-bit PCM WAV file to a float tensor. encode_wav(...): Encode audio data using the WAV file format. | tensorflow.audio |
tf.audio.decode_wav Decode a 16-bit PCM WAV file to a float tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.audio.decode_wav
tf.audio.decode_wav(
contents, desired_channels=-1, desired_samples=-1, name=None
)
The -32768 to 32767 signed 16-bit values will be... | tensorflow.audio.decode_wav |
tf.audio.encode_wav Encode audio data using the WAV file format. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.audio.encode_wav
tf.audio.encode_wav(
audio, sample_rate, name=None
)
This operation will generate a string suitable to be saved out to create a .wav au... | tensorflow.audio.encode_wav |
Module: tf.autodiff Public API for tf.autodiff namespace. Classes class ForwardAccumulator: Computes Jacobian-vector products ("JVP"s) using forward-mode autodiff. class GradientTape: Record operations for automatic differentiation. | tensorflow.autodiff |
tf.autodiff.ForwardAccumulator Computes Jacobian-vector products ("JVP"s) using forward-mode autodiff.
tf.autodiff.ForwardAccumulator(
primals, tangents
)
Compare to tf.GradientTape which computes vector-Jacobian products ("VJP"s) using reverse-mode autodiff (backprop). Reverse mode is more attractive when comput... | tensorflow.autodiff.forwardaccumulator |
Module: tf.autograph Conversion of plain Python into TensorFlow graph code.
Note: In TensorFlow 2.0, AutoGraph is automatically applied when using tf.function. This module contains lower-level APIs for advanced use.
For more information, see the AutoGraph guide. By equivalent graph code we mean code that generates a ... | tensorflow.autograph |
Module: tf.autograph.experimental Public API for tf.autograph.experimental namespace. Classes class Feature: This enumeration represents optional conversion options. Functions do_not_convert(...): Decorator that suppresses the conversion of a function. set_loop_options(...): Specifies additional arguments to be passed ... | tensorflow.autograph.experimental |
tf.autograph.experimental.do_not_convert View source on GitHub Decorator that suppresses the conversion of a function. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.autograph.experimental.do_not_convert
tf.autograph.experimental.do_not_convert(
func=None
)
... | tensorflow.autograph.experimental.do_not_convert |
tf.autograph.experimental.Feature View source on GitHub This enumeration represents optional conversion options. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.autograph.experimental.Feature These conversion options are experimental. They are subject to change wi... | tensorflow.autograph.experimental.feature |
tf.autograph.experimental.set_loop_options Specifies additional arguments to be passed to the enclosing while_loop. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.autograph.experimental.set_loop_options
tf.autograph.experimental.set_loop_options(
parallel_iteration... | tensorflow.autograph.experimental.set_loop_options |
tf.autograph.set_verbosity View source on GitHub Sets the AutoGraph verbosity level. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.autograph.set_verbosity
tf.autograph.set_verbosity(
level, alsologtostdout=False
)
Debug logging in AutoGraph More verbose lo... | tensorflow.autograph.set_verbosity |
tf.autograph.to_code View source on GitHub Returns the source code generated by AutoGraph, as a string.
tf.autograph.to_code(
entity, recursive=True, experimental_optional_features=None
)
Example usage:
def f(x):
if x < 0:
x = -x
return x
tf.autograph.to_code(f)
"...def tf__f(x):..."
Also see: tf... | tensorflow.autograph.to_code |
tf.autograph.to_graph View source on GitHub Converts a Python entity into a TensorFlow graph.
tf.autograph.to_graph(
entity, recursive=True, experimental_optional_features=None
)
Also see: tf.autograph.to_code, tf.function. Unlike tf.function, to_graph is a low-level transpiler that converts Python code to... | tensorflow.autograph.to_graph |
tf.autograph.trace View source on GitHub Traces argument information at compilation time. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.autograph.trace
tf.autograph.trace(
*args
)
trace is useful when debugging, and it always executes during the tracing ph... | tensorflow.autograph.trace |
tf.batch_to_space View source on GitHub BatchToSpace for N-D tensors of type T.
tf.batch_to_space(
input, block_shape, crops, name=None
)
This operation reshapes the "batch" dimension 0 into M + 1 dimensions of shape block_shape + [batch], interleaves these blocks back into the grid defined by the spatial ... | tensorflow.batch_to_space |
tf.bitcast Bitcasts a tensor from one type to another without copying data. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.bitcast
tf.bitcast(
input, type, name=None
)
Given a tensor input, this operation returns a tensor that has the same buffer data as input wit... | tensorflow.bitcast |
Module: tf.bitwise Operations for manipulating the binary representations of integers. Functions bitwise_and(...): Elementwise computes the bitwise AND of x and y. bitwise_or(...): Elementwise computes the bitwise OR of x and y. bitwise_xor(...): Elementwise computes the bitwise XOR of x and y. invert(...): Invert (fli... | tensorflow.bitwise |
tf.bitwise.bitwise_and Elementwise computes the bitwise AND of x and y. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.bitwise.bitwise_and
tf.bitwise.bitwise_and(
x, y, name=None
)
The result will have those bits set, that are set in both x and y. The computation ... | tensorflow.bitwise.bitwise_and |
tf.bitwise.bitwise_or Elementwise computes the bitwise OR of x and y. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.bitwise.bitwise_or
tf.bitwise.bitwise_or(
x, y, name=None
)
The result will have those bits set, that are set in x, y or both. The computation is p... | tensorflow.bitwise.bitwise_or |
tf.bitwise.bitwise_xor Elementwise computes the bitwise XOR of x and y. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.bitwise.bitwise_xor
tf.bitwise.bitwise_xor(
x, y, name=None
)
The result will have those bits set, that are different in x and y. The computation... | tensorflow.bitwise.bitwise_xor |
tf.bitwise.invert Invert (flip) each bit of supported types; for example, type uint8 value 01010101 becomes 10101010. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.bitwise.invert
tf.bitwise.invert(
x, name=None
)
Flip each bit of supported types. For example, typ... | tensorflow.bitwise.invert |
tf.bitwise.left_shift Elementwise computes the bitwise left-shift of x and y. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.bitwise.left_shift
tf.bitwise.left_shift(
x, y, name=None
)
If y is negative, or greater than or equal to the width of x in bits the result... | tensorflow.bitwise.left_shift |
tf.bitwise.right_shift Elementwise computes the bitwise right-shift of x and y. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.bitwise.right_shift
tf.bitwise.right_shift(
x, y, name=None
)
Performs a logical shift for unsigned integer types, and an arithmetic shif... | tensorflow.bitwise.right_shift |
tf.boolean_mask View source on GitHub Apply boolean mask to tensor.
tf.boolean_mask(
tensor, mask, axis=None, name='boolean_mask'
)
Numpy equivalent is tensor[mask]. In general, 0 < dim(mask) = K <= dim(tensor), and mask's shape must match the first K dimensions of tensor's shape. We then have: boolean_mas... | tensorflow.boolean_mask |
tf.broadcast_dynamic_shape View source on GitHub Computes the shape of a broadcast given symbolic shapes. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.broadcast_dynamic_shape
tf.broadcast_dynamic_shape(
shape_x, shape_y
)
When shape_x and shape_y are Tens... | tensorflow.broadcast_dynamic_shape |
tf.broadcast_static_shape View source on GitHub Computes the shape of a broadcast given known shapes. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.broadcast_static_shape
tf.broadcast_static_shape(
shape_x, shape_y
)
When shape_x and shape_y are fully know... | tensorflow.broadcast_static_shape |
tf.broadcast_to Broadcast an array for a compatible shape. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.broadcast_to
tf.broadcast_to(
input, shape, name=None
)
Broadcasting is the process of making arrays to have compatible shapes for arithmetic operations. Two ... | tensorflow.broadcast_to |
tf.case View source on GitHub Create a case operation.
tf.case(
pred_fn_pairs, default=None, exclusive=False, strict=False,
name='case'
)
See also tf.switch_case. The pred_fn_pairs parameter is a list of pairs of size N. Each pair contains a boolean scalar tensor and a python callable that creates the ... | tensorflow.case |
tf.cast View source on GitHub Casts a tensor to a new type. View aliases Main aliases
tf.dtypes.cast Compat aliases for migration See Migration guide for more details. tf.compat.v1.cast, tf.compat.v1.dtypes.cast
tf.cast(
x, dtype, name=None
)
The operation casts x (in case of Tensor) or x.values (in ca... | tensorflow.cast |
tf.clip_by_global_norm View source on GitHub Clips values of multiple tensors by the ratio of the sum of their norms. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.clip_by_global_norm
tf.clip_by_global_norm(
t_list, clip_norm, use_norm=None, name=None
)
Gi... | tensorflow.clip_by_global_norm |
tf.clip_by_norm View source on GitHub Clips tensor values to a maximum L2-norm. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.clip_by_norm
tf.clip_by_norm(
t, clip_norm, axes=None, name=None
)
Given a tensor t, and a maximum clip value clip_norm, this oper... | tensorflow.clip_by_norm |
tf.clip_by_value View source on GitHub Clips tensor values to a specified min and max. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.clip_by_value
tf.clip_by_value(
t, clip_value_min, clip_value_max, name=None
)
Given a tensor t, this operation returns a t... | tensorflow.clip_by_value |
Module: tf.compat Compatibility functions. The tf.compat module contains two sets of compatibility functions. Tensorflow 1.x and 2.x APIs The compat.v1 and compat.v2 submodules provide a complete copy of both the v1 and v2 APIs for backwards and forwards compatibility across TensorFlow versions 1.x and 2.x. See the mig... | tensorflow.compat |
tf.compat.as_bytes View source on GitHub Converts bytearray, bytes, or unicode python input types to bytes. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.compat.as_bytes
tf.compat.as_bytes(
bytes_or_text, encoding='utf-8'
)
Uses utf-8 encoding for text by ... | tensorflow.compat.as_bytes |
tf.compat.as_str View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.compat.as_str
tf.compat.as_str(
bytes_or_text, encoding='utf-8'
) | tensorflow.compat.as_str |
tf.compat.as_str_any View source on GitHub Converts input to str type. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.compat.as_str_any
tf.compat.as_str_any(
value
)
Uses str(value), except for bytes typed inputs, which are converted using as_str.
Args... | tensorflow.compat.as_str_any |
tf.compat.as_text View source on GitHub Converts any string-like python input types to unicode. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.compat.as_text
tf.compat.as_text(
bytes_or_text, encoding='utf-8'
)
Returns the input as a unicode string. Uses ut... | tensorflow.compat.as_text |
tf.compat.dimension_at_index View source on GitHub Compatibility utility required to allow for both V1 and V2 behavior in TF. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.compat.dimension_at_index, tf.compat.v1.dimension_at_index
tf.compat.dimension_at_index(
... | tensorflow.compat.dimension_at_index |
tf.compat.dimension_value View source on GitHub Compatibility utility required to allow for both V1 and V2 behavior in TF. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.compat.dimension_value, tf.compat.v1.dimension_value
tf.compat.dimension_value(
dimensio... | tensorflow.compat.dimension_value |
tf.compat.forward_compatibility_horizon View source on GitHub Context manager for testing forward compatibility of generated graphs. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.compat.forward_compatibility_horizon
@tf_contextlib.contextmanager
tf.compat.forwa... | tensorflow.compat.forward_compatibility_horizon |
tf.compat.forward_compatible View source on GitHub Return true if the forward compatibility window has expired. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.compat.forward_compatible
tf.compat.forward_compatible(
year, month, day
)
See Version compatibili... | tensorflow.compat.forward_compatible |
tf.compat.path_to_str View source on GitHub Converts input which is a PathLike object to str type. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.compat.path_to_str
tf.compat.path_to_str(
path
)
Converts from any python constant representation of a PathLi... | tensorflow.compat.path_to_str |
Module: tf.compat.v1 View source on GitHub Bring in all of the public TensorFlow interface into this module. Modules app module: Generic entry point script. audio module: Public API for tf.audio namespace. autograph module: Conversion of plain Python into TensorFlow graph code. bitwise module: Operations for m... | tensorflow.compat.v1 |
tf.compat.v1.add_check_numerics_ops Connect a tf.debugging.check_numerics to every floating point tensor.
tf.compat.v1.add_check_numerics_ops()
check_numerics operations themselves are added for each half, float, or double tensor in the current default graph. For all ops in the graph, the check_numerics op for all of... | tensorflow.compat.v1.add_check_numerics_ops |
tf.compat.v1.add_to_collection Wrapper for Graph.add_to_collection() using the default graph.
tf.compat.v1.add_to_collection(
name, value
)
See tf.Graph.add_to_collection for more details.
Args
name The key for the collection. For example, the GraphKeys class contains many standard names for collections.... | tensorflow.compat.v1.add_to_collection |
tf.compat.v1.add_to_collections Wrapper for Graph.add_to_collections() using the default graph.
tf.compat.v1.add_to_collections(
names, value
)
See tf.Graph.add_to_collections for more details.
Args
names The key for the collections. The GraphKeys class contains many standard names for collections.
v... | tensorflow.compat.v1.add_to_collections |
tf.compat.v1.all_variables Use tf.compat.v1.global_variables instead. (deprecated)
tf.compat.v1.all_variables()
Warning: THIS FUNCTION IS DEPRECATED. It will be removed after 2017-03-02. Instructions for updating: Please use tf.global_variables instead. | tensorflow.compat.v1.all_variables |
Module: tf.compat.v1.app Generic entry point script. Modules flags module: Import router for absl.flags. See https://github.com/abseil/abseil-py Functions run(...): Runs the program with an optional 'main' function and 'argv' list. | tensorflow.compat.v1.app |
tf.compat.v1.app.run Runs the program with an optional 'main' function and 'argv' list.
tf.compat.v1.app.run(
main=None, argv=None
) | tensorflow.compat.v1.app.run |
tf.compat.v1.argmax Returns the index with the largest value across axes of a tensor. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.argmax
tf.compat.v1.argmax(
input, axis=None, name=None, dimension=None, output_type=tf.dtypes.int64
)
... | tensorflow.compat.v1.argmax |
tf.compat.v1.argmin Returns the index with the smallest value across axes of a tensor. (deprecated arguments) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.argmin
tf.compat.v1.argmin(
input, axis=None, name=None, dimension=None, output_type=tf.dtypes.int64
)
... | tensorflow.compat.v1.argmin |
tf.compat.v1.arg_max Returns the index with the largest value across dimensions of a tensor.
tf.compat.v1.arg_max(
input, dimension, output_type=tf.dtypes.int64, name=None
)
Note that in case of ties the identity of the return value is not guaranteed. Usage: import tensorflow as tf
a = [1, 10, 26.9, 2.8, 166.32, ... | tensorflow.compat.v1.arg_max |
tf.compat.v1.arg_min Returns the index with the smallest value across dimensions of a tensor.
tf.compat.v1.arg_min(
input, dimension, output_type=tf.dtypes.int64, name=None
)
Note that in case of ties the identity of the return value is not guaranteed. Usage: import tensorflow as tf
a = [1, 10, 26.9, 2.8, 166.32,... | tensorflow.compat.v1.arg_min |
tf.compat.v1.assert_equal Assert the condition x == y holds element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_equal
tf.compat.v1.assert_equal(
x, y, data=None, summarize=None, message=None, name=None
)
This condition holds if for every ... | tensorflow.compat.v1.assert_equal |
tf.compat.v1.assert_greater Assert the condition x > y holds element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_greater
tf.compat.v1.assert_greater(
x, y, data=None, summarize=None, message=None, name=None
)
This condition holds if for e... | tensorflow.compat.v1.assert_greater |
tf.compat.v1.assert_greater_equal Assert the condition x >= y holds element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_greater_equal
tf.compat.v1.assert_greater_equal(
x, y, data=None, summarize=None, message=None, name=None
)
This condi... | tensorflow.compat.v1.assert_greater_equal |
tf.compat.v1.assert_integer Assert that x is of integer dtype. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_integer
tf.compat.v1.assert_integer(
x, message=None, name=None
)
Example of adding a dependency to an operation: with tf.control_depende... | tensorflow.compat.v1.assert_integer |
tf.compat.v1.assert_less Assert the condition x < y holds element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_less
tf.compat.v1.assert_less(
x, y, data=None, summarize=None, message=None, name=None
)
This condition holds if for every pair... | tensorflow.compat.v1.assert_less |
tf.compat.v1.assert_less_equal Assert the condition x <= y holds element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_less_equal
tf.compat.v1.assert_less_equal(
x, y, data=None, summarize=None, message=None, name=None
)
This condition hold... | tensorflow.compat.v1.assert_less_equal |
tf.compat.v1.assert_near Assert the condition x and y are close element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_near
tf.compat.v1.assert_near(
x, y, rtol=None, atol=None, data=None, summarize=None, message=None, name=None
)
Example of... | tensorflow.compat.v1.assert_near |
tf.compat.v1.assert_negative Assert the condition x < 0 holds element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_negative
tf.compat.v1.assert_negative(
x, data=None, summarize=None, message=None, name=None
)
When running in graph mode, y... | tensorflow.compat.v1.assert_negative |
tf.compat.v1.assert_none_equal Assert the condition x != y holds element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_none_equal
tf.compat.v1.assert_none_equal(
x, y, data=None, summarize=None, message=None, name=None
)
This condition hold... | tensorflow.compat.v1.assert_none_equal |
tf.compat.v1.assert_non_negative Assert the condition x >= 0 holds element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_non_negative
tf.compat.v1.assert_non_negative(
x, data=None, summarize=None, message=None, name=None
)
When running in ... | tensorflow.compat.v1.assert_non_negative |
tf.compat.v1.assert_non_positive Assert the condition x <= 0 holds element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_non_positive
tf.compat.v1.assert_non_positive(
x, data=None, summarize=None, message=None, name=None
)
When running in ... | tensorflow.compat.v1.assert_non_positive |
tf.compat.v1.assert_positive Assert the condition x > 0 holds element-wise. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_positive
tf.compat.v1.assert_positive(
x, data=None, summarize=None, message=None, name=None
)
When running in graph mode, y... | tensorflow.compat.v1.assert_positive |
tf.compat.v1.assert_rank Assert x has rank equal to rank. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_rank
tf.compat.v1.assert_rank(
x, rank, data=None, summarize=None, message=None, name=None
)
Example of adding a dependency to an operation: w... | tensorflow.compat.v1.assert_rank |
tf.compat.v1.assert_rank_at_least Assert x has rank equal to rank or higher. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_rank_at_least
tf.compat.v1.assert_rank_at_least(
x, rank, data=None, summarize=None, message=None, name=None
)
Example of a... | tensorflow.compat.v1.assert_rank_at_least |
tf.compat.v1.assert_rank_in Assert x has rank in ranks. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_rank_in
tf.compat.v1.assert_rank_in(
x, ranks, data=None, summarize=None, message=None, name=None
)
Example of adding a dependency to an operati... | tensorflow.compat.v1.assert_rank_in |
tf.compat.v1.assert_scalar Asserts that the given tensor is a scalar (i.e. zero-dimensional). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_scalar
tf.compat.v1.assert_scalar(
tensor, name=None, message=None
)
This function raises ValueError unles... | tensorflow.compat.v1.assert_scalar |
tf.compat.v1.assert_type Statically asserts that the given Tensor is of the specified type. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.debugging.assert_type
tf.compat.v1.assert_type(
tensor, tf_type, message=None, name=None
)
Args
tensor A Tensor or S... | tensorflow.compat.v1.assert_type |
tf.compat.v1.assert_variables_initialized Returns an Op to check if variables are initialized.
tf.compat.v1.assert_variables_initialized(
var_list=None
)
Note: This function is obsolete and will be removed in 6 months. Please change your implementation to use report_uninitialized_variables().
When run, the retu... | tensorflow.compat.v1.assert_variables_initialized |
tf.compat.v1.assign Update ref by assigning value to it.
tf.compat.v1.assign(
ref, value, validate_shape=None, use_locking=None, name=None
)
This operation outputs a Tensor that holds the new value of ref after the value has been assigned. This makes it easier to chain operations that need to use the reset value.... | tensorflow.compat.v1.assign |
tf.compat.v1.assign_add Update ref by adding value to it.
tf.compat.v1.assign_add(
ref, value, use_locking=None, name=None
)
This operation outputs "ref" after the update is done. This makes it easier to chain operations that need to use the reset value. Unlike tf.math.add, this op does not broadcast. ref and val... | tensorflow.compat.v1.assign_add |
tf.compat.v1.assign_sub Update ref by subtracting value from it.
tf.compat.v1.assign_sub(
ref, value, use_locking=None, name=None
)
This operation outputs ref after the update is done. This makes it easier to chain operations that need to use the reset value. Unlike tf.math.subtract, this op does not broadcast. r... | tensorflow.compat.v1.assign_sub |
tf.compat.v1.AttrValue A ProtocolMessage
Attributes
b bool b
f float f
func NameAttrList func
i int64 i
list ListValue list
placeholder string placeholder
s bytes s
shape TensorShapeProto shape
tensor TensorProto tensor
type DataType type Child Classes c... | tensorflow.compat.v1.attrvalue |
tf.compat.v1.AttrValue.ListValue A ProtocolMessage
Attributes
b repeated bool b
f repeated float f
func repeated NameAttrList func
i repeated int64 i
s repeated bytes s
shape repeated TensorShapeProto shape
tensor repeated TensorProto tensor
type repeated DataType type | tensorflow.compat.v1.attrvalue.listvalue |
Module: tf.compat.v1.audio Public API for tf.audio namespace. Functions decode_wav(...): Decode a 16-bit PCM WAV file to a float tensor. encode_wav(...): Encode audio data using the WAV file format. | tensorflow.compat.v1.audio |
Module: tf.compat.v1.autograph Conversion of plain Python into TensorFlow graph code.
Note: In TensorFlow 2.0, AutoGraph is automatically applied when using tf.function. This module contains lower-level APIs for advanced use.
For more information, see the AutoGraph guide. By equivalent graph code we mean code that ge... | tensorflow.compat.v1.autograph |
Module: tf.compat.v1.autograph.experimental Public API for tf.autograph.experimental namespace. Classes class Feature: This enumeration represents optional conversion options. Functions do_not_convert(...): Decorator that suppresses the conversion of a function. set_loop_options(...): Specifies additional arguments to ... | tensorflow.compat.v1.autograph.experimental |
tf.compat.v1.autograph.to_code Returns the source code generated by AutoGraph, as a string.
tf.compat.v1.autograph.to_code(
entity, recursive=True, arg_values=None, arg_types=None, indentation='
', experimental_optional_features=None
)
Example usage:
def f(x):
if x < 0:
x = -x
return x
tf.autograph.t... | tensorflow.compat.v1.autograph.to_code |
tf.compat.v1.autograph.to_graph Converts a Python entity into a TensorFlow graph.
tf.compat.v1.autograph.to_graph(
entity, recursive=True, arg_values=None, arg_types=None,
experimental_optional_features=None
)
Also see: tf.autograph.to_code, tf.function. Unlike tf.function, to_graph is a low-level transpiler ... | tensorflow.compat.v1.autograph.to_graph |
tf.compat.v1.batch_gather Gather slices from params according to indices with leading batch dims. (deprecated)
tf.compat.v1.batch_gather(
params, indices, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed after 2017-10-25. Instructions for updating: tf.batch_gather is deprecated, please use tf.... | tensorflow.compat.v1.batch_gather |
tf.compat.v1.batch_scatter_update Generalization of tf.compat.v1.scatter_update to axis different than 0. (deprecated)
tf.compat.v1.batch_scatter_update(
ref, indices, updates, use_locking=True, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed after 2018-11-29. Instructions for updating: Use t... | tensorflow.compat.v1.batch_scatter_update |
tf.compat.v1.batch_to_space BatchToSpace for 4-D tensors of type T.
tf.compat.v1.batch_to_space(
input, crops, block_size, name=None, block_shape=None
)
This is a legacy version of the more general BatchToSpaceND. Rearranges (permutes) data from batch into blocks of spatial data, followed by cropping. This is the... | tensorflow.compat.v1.batch_to_space |
tf.compat.v1.batch_to_space_nd BatchToSpace for N-D tensors of type T. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.manip.batch_to_space_nd
tf.compat.v1.batch_to_space_nd(
input, block_shape, crops, name=None
)
This operation reshapes the "batch" dimension 0 int... | tensorflow.compat.v1.batch_to_space_nd |
tf.compat.v1.bincount Counts the number of occurrences of each value in an integer array. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.math.bincount
tf.compat.v1.bincount(
arr, weights=None, minlength=None, maxlength=None, dtype=tf.dtypes.int32
)
If minlength an... | tensorflow.compat.v1.bincount |
Module: tf.compat.v1.bitwise Operations for manipulating the binary representations of integers. Functions bitwise_and(...): Elementwise computes the bitwise AND of x and y. bitwise_or(...): Elementwise computes the bitwise OR of x and y. bitwise_xor(...): Elementwise computes the bitwise XOR of x and y. invert(...): I... | tensorflow.compat.v1.bitwise |
tf.compat.v1.boolean_mask Apply boolean mask to tensor.
tf.compat.v1.boolean_mask(
tensor, mask, name='boolean_mask', axis=None
)
Numpy equivalent is tensor[mask]. In general, 0 < dim(mask) = K <= dim(tensor), and mask's shape must match the first K dimensions of tensor's shape. We then have: boolean_mask(tensor,... | tensorflow.compat.v1.boolean_mask |
tf.compat.v1.case Create a case operation.
tf.compat.v1.case(
pred_fn_pairs, default=None, exclusive=False, strict=False,
name='case'
)
See also tf.switch_case. The pred_fn_pairs parameter is a dict or list of pairs of size N. Each pair contains a boolean scalar tensor and a python callable that creates the t... | tensorflow.compat.v1.case |
tf.compat.v1.clip_by_average_norm Clips tensor values to a maximum average L2-norm. (deprecated)
tf.compat.v1.clip_by_average_norm(
t, clip_norm, name=None
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: clip_by_average_norm is deprecated in TensorFlow 2.... | tensorflow.compat.v1.clip_by_average_norm |
tf.compat.v1.colocate_with DEPRECATED FUNCTION
tf.compat.v1.colocate_with(
op, ignore_existing=False
)
Warning: THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Colocations handled automatically by placer. | tensorflow.compat.v1.colocate_with |
Module: tf.compat.v1.compat Compatibility functions. The tf.compat module contains two sets of compatibility functions. Tensorflow 1.x and 2.x APIs The compat.v1 and compat.v2 submodules provide a complete copy of both the v1 and v2 APIs for backwards and forwards compatibility across TensorFlow versions 1.x and 2.x. S... | tensorflow.compat.v1.compat |
tf.compat.v1.cond Return true_fn() if the predicate pred is true else false_fn(). (deprecated arguments)
tf.compat.v1.cond(
pred, true_fn=None, false_fn=None, strict=False, name=None, fn1=None, fn2=None
)
Warning: SOME ARGUMENTS ARE DEPRECATED: (fn1, fn2). They will be removed in a future version. Instructions fo... | tensorflow.compat.v1.cond |
tf.compat.v1.ConditionalAccumulator A conditional accumulator for aggregating gradients. Inherits From: ConditionalAccumulatorBase
tf.compat.v1.ConditionalAccumulator(
dtype, shape=None, shared_name=None, name='conditional_accumulator',
reduction_type='MEAN'
)
Up-to-date gradients (i.e., time step at which gr... | tensorflow.compat.v1.conditionalaccumulator |
tf.compat.v1.ConditionalAccumulatorBase A conditional accumulator for aggregating gradients.
tf.compat.v1.ConditionalAccumulatorBase(
dtype, shape, accumulator_ref
)
Up-to-date gradients (i.e., time step at which gradient was computed is equal to the accumulator's time step) are added to the accumulator. Extracti... | tensorflow.compat.v1.conditionalaccumulatorbase |
Module: tf.compat.v1.config Public API for tf.config namespace. Modules experimental module: Public API for tf.config.experimental namespace. optimizer module: Public API for tf.config.optimizer namespace. threading module: Public API for tf.config.threading namespace. Classes class LogicalDevice: Abstraction for a log... | tensorflow.compat.v1.config |
Module: tf.compat.v1.config.experimental Public API for tf.config.experimental namespace. Classes class ClusterDeviceFilters: Represent a collection of device filters for the remote workers in cluster. class VirtualDeviceConfiguration: Configuration class for a logical devices. Functions disable_mlir_bridge(...): Disab... | tensorflow.compat.v1.config.experimental |
Module: tf.compat.v1.config.optimizer Public API for tf.config.optimizer namespace. Functions get_experimental_options(...): Get experimental optimizer options. get_jit(...): Get if JIT compilation is enabled. set_experimental_options(...): Set experimental optimizer options. set_jit(...): Set if JIT compilation is ena... | tensorflow.compat.v1.config.optimizer |
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