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tf.raw_ops.OutfeedDequeue Retrieves a single tensor from the computation outfeed. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.OutfeedDequeue
tf.raw_ops.OutfeedDequeue(
dtype, shape, device_ordinal=-1, name=None
)
This operation will block indefinitely u... | tensorflow.raw_ops.outfeeddequeue |
tf.raw_ops.OutfeedDequeueTuple Retrieve multiple values from the computation outfeed. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.OutfeedDequeueTuple
tf.raw_ops.OutfeedDequeueTuple(
dtypes, shapes, device_ordinal=-1, name=None
)
This operation will bloc... | tensorflow.raw_ops.outfeeddequeuetuple |
tf.raw_ops.OutfeedDequeueTupleV2 Retrieve multiple values from the computation outfeed. Device ordinal is a View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.OutfeedDequeueTupleV2
tf.raw_ops.OutfeedDequeueTupleV2(
device_ordinal, dtypes, shapes, name=None
)
t... | tensorflow.raw_ops.outfeeddequeuetuplev2 |
tf.raw_ops.OutfeedDequeueV2 Retrieves a single tensor from the computation outfeed. Device ordinal is a View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.OutfeedDequeueV2
tf.raw_ops.OutfeedDequeueV2(
device_ordinal, dtype, shape, name=None
)
tensor allowing d... | tensorflow.raw_ops.outfeeddequeuev2 |
tf.raw_ops.OutfeedEnqueue Enqueue a Tensor on the computation outfeed. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.OutfeedEnqueue
tf.raw_ops.OutfeedEnqueue(
input, name=None
)
Args
input A Tensor. A tensor that will be inserted into the outfeed... | tensorflow.raw_ops.outfeedenqueue |
tf.raw_ops.OutfeedEnqueueTuple Enqueue multiple Tensor values on the computation outfeed. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.OutfeedEnqueueTuple
tf.raw_ops.OutfeedEnqueueTuple(
inputs, name=None
)
Args
inputs A list of Tensor objects. ... | tensorflow.raw_ops.outfeedenqueuetuple |
tf.raw_ops.Pack Packs a list of N rank-R tensors into one rank-(R+1) tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Pack
tf.raw_ops.Pack(
values, axis=0, name=None
)
Packs the N tensors in values into a tensor with rank one higher than each tensor ... | tensorflow.raw_ops.pack |
tf.raw_ops.Pad Pads a tensor with zeros. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Pad
tf.raw_ops.Pad(
input, paddings, name=None
)
This operation pads a input with zeros according to the paddings you specify. paddings is an integer tensor with shape ... | tensorflow.raw_ops.pad |
tf.raw_ops.PaddedBatchDataset Creates a dataset that batches and pads batch_size elements from the input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PaddedBatchDataset
tf.raw_ops.PaddedBatchDataset(
input_dataset, batch_size, padded_shapes, padding_valu... | tensorflow.raw_ops.paddedbatchdataset |
tf.raw_ops.PaddedBatchDatasetV2 Creates a dataset that batches and pads batch_size elements from the input. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PaddedBatchDatasetV2
tf.raw_ops.PaddedBatchDatasetV2(
input_dataset, batch_size, padded_shapes, paddin... | tensorflow.raw_ops.paddedbatchdatasetv2 |
tf.raw_ops.PaddingFIFOQueue A queue that produces elements in first-in first-out order. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PaddingFIFOQueue
tf.raw_ops.PaddingFIFOQueue(
component_types, shapes=[], capacity=-1, container='',
shared_name='', n... | tensorflow.raw_ops.paddingfifoqueue |
tf.raw_ops.PaddingFIFOQueueV2 A queue that produces elements in first-in first-out order. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PaddingFIFOQueueV2
tf.raw_ops.PaddingFIFOQueueV2(
component_types, shapes=[], capacity=-1, container='',
shared_name... | tensorflow.raw_ops.paddingfifoqueuev2 |
tf.raw_ops.PadV2 Pads a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PadV2
tf.raw_ops.PadV2(
input, paddings, constant_values, name=None
)
This operation pads input according to the paddings and constant_values you specify. paddings is an integer... | tensorflow.raw_ops.padv2 |
tf.raw_ops.ParallelConcat Concatenates a list of N tensors along the first dimension. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParallelConcat
tf.raw_ops.ParallelConcat(
values, shape, name=None
)
The input tensors are all required to have size 1 in t... | tensorflow.raw_ops.parallelconcat |
tf.raw_ops.ParallelDynamicStitch Interleave the values from the data tensors into a single tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParallelDynamicStitch
tf.raw_ops.ParallelDynamicStitch(
indices, data, name=None
)
Builds a merged tensor such... | tensorflow.raw_ops.paralleldynamicstitch |
tf.raw_ops.ParallelInterleaveDataset Creates a dataset that applies f to the outputs of input_dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParallelInterleaveDataset
tf.raw_ops.ParallelInterleaveDataset(
input_dataset, other_arguments, cycle_lengt... | tensorflow.raw_ops.parallelinterleavedataset |
tf.raw_ops.ParallelInterleaveDatasetV2 Creates a dataset that applies f to the outputs of input_dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParallelInterleaveDatasetV2
tf.raw_ops.ParallelInterleaveDatasetV2(
input_dataset, other_arguments, cycle... | tensorflow.raw_ops.parallelinterleavedatasetv2 |
tf.raw_ops.ParallelInterleaveDatasetV3 Creates a dataset that applies f to the outputs of input_dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParallelInterleaveDatasetV3
tf.raw_ops.ParallelInterleaveDatasetV3(
input_dataset, other_arguments, cycle... | tensorflow.raw_ops.parallelinterleavedatasetv3 |
tf.raw_ops.ParallelInterleaveDatasetV4 Creates a dataset that applies f to the outputs of input_dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParallelInterleaveDatasetV4
tf.raw_ops.ParallelInterleaveDatasetV4(
input_dataset, other_arguments, cycle... | tensorflow.raw_ops.parallelinterleavedatasetv4 |
tf.raw_ops.ParallelMapDataset Creates a dataset that applies f to the outputs of input_dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParallelMapDataset
tf.raw_ops.ParallelMapDataset(
input_dataset, other_arguments, num_parallel_calls, f, output_ty... | tensorflow.raw_ops.parallelmapdataset |
tf.raw_ops.ParallelMapDatasetV2 Creates a dataset that applies f to the outputs of input_dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParallelMapDatasetV2
tf.raw_ops.ParallelMapDatasetV2(
input_dataset, other_arguments, num_parallel_calls, f, out... | tensorflow.raw_ops.parallelmapdatasetv2 |
tf.raw_ops.ParameterizedTruncatedNormal Outputs random values from a normal distribution. The parameters may each be a View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParameterizedTruncatedNormal
tf.raw_ops.ParameterizedTruncatedNormal(
shape, means, stdevs,... | tensorflow.raw_ops.parameterizedtruncatednormal |
tf.raw_ops.ParseExample Transforms a vector of brain.Example protos (as strings) into typed tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParseExample
tf.raw_ops.ParseExample(
serialized, names, sparse_keys, dense_keys, dense_defaults, sparse_type... | tensorflow.raw_ops.parseexample |
tf.raw_ops.ParseExampleDataset Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParseExampleDataset
tf.ra... | tensorflow.raw_ops.parseexampledataset |
tf.raw_ops.ParseExampleDatasetV2 Transforms input_dataset containing Example protos as vectors of DT_STRING into a dataset of Tensor or SparseTensor objects representing the parsed features. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParseExampleDatasetV2
t... | tensorflow.raw_ops.parseexampledatasetv2 |
tf.raw_ops.ParseExampleV2 Transforms a vector of tf.Example protos (as strings) into typed tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParseExampleV2
tf.raw_ops.ParseExampleV2(
serialized, names, sparse_keys, dense_keys, ragged_keys, dense_defau... | tensorflow.raw_ops.parseexamplev2 |
tf.raw_ops.ParseSequenceExample Transforms a vector of brain.SequenceExample protos (as strings) into typed tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParseSequenceExample
tf.raw_ops.ParseSequenceExample(
serialized, debug_name, context_dense_d... | tensorflow.raw_ops.parsesequenceexample |
tf.raw_ops.ParseSequenceExampleV2 Transforms a vector of tf.io.SequenceExample protos (as strings) into View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParseSequenceExampleV2
tf.raw_ops.ParseSequenceExampleV2(
serialized, debug_name, context_sparse_keys, con... | tensorflow.raw_ops.parsesequenceexamplev2 |
tf.raw_ops.ParseSingleExample Transforms a tf.Example proto (as a string) into typed tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParseSingleExample
tf.raw_ops.ParseSingleExample(
serialized, dense_defaults, num_sparse, sparse_keys, dense_keys, s... | tensorflow.raw_ops.parsesingleexample |
tf.raw_ops.ParseSingleSequenceExample Transforms a scalar brain.SequenceExample proto (as strings) into typed tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParseSingleSequenceExample
tf.raw_ops.ParseSingleSequenceExample(
serialized, feature_list_... | tensorflow.raw_ops.parsesinglesequenceexample |
tf.raw_ops.ParseTensor Transforms a serialized tensorflow.TensorProto proto into a Tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.ParseTensor
tf.raw_ops.ParseTensor(
serialized, out_type, name=None
)
Args
serialized A Tensor of type string... | tensorflow.raw_ops.parsetensor |
tf.raw_ops.PartitionedCall returns f(inputs), where f's body is placed and partitioned. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PartitionedCall
tf.raw_ops.PartitionedCall(
args, Tout, f, config='', config_proto='',
executor_type='', name=None
)
... | tensorflow.raw_ops.partitionedcall |
tf.raw_ops.Placeholder A placeholder op for a value that will be fed into the computation. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Placeholder
tf.raw_ops.Placeholder(
dtype, shape=None, name=None
)
N.B. This operation will fail with an error if it i... | tensorflow.raw_ops.placeholder |
tf.raw_ops.PlaceholderV2 A placeholder op for a value that will be fed into the computation. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PlaceholderV2
tf.raw_ops.PlaceholderV2(
dtype, shape, name=None
)
N.B. This operation will fail with an error if it ... | tensorflow.raw_ops.placeholderv2 |
tf.raw_ops.PlaceholderWithDefault A placeholder op that passes through input when its output is not fed. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PlaceholderWithDefault
tf.raw_ops.PlaceholderWithDefault(
input, shape, name=None
)
Args
input ... | tensorflow.raw_ops.placeholderwithdefault |
tf.raw_ops.Polygamma Compute the polygamma function \(\psi^{(n)}(x)\). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Polygamma
tf.raw_ops.Polygamma(
a, x, name=None
)
The polygamma function is defined as: \(\psi^{(a)}(x) = \frac{d^a}{dx^a} \psi(x)\) whe... | tensorflow.raw_ops.polygamma |
tf.raw_ops.PopulationCount Computes element-wise population count (a.k.a. popcount, bitsum, bitcount). View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PopulationCount
tf.raw_ops.PopulationCount(
x, name=None
)
For each entry in x, calculates the number of 1... | tensorflow.raw_ops.populationcount |
tf.raw_ops.Pow Computes the power of one value to another. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Pow
tf.raw_ops.Pow(
x, y, name=None
)
Given a tensor x and a tensor y, this operation computes \(x^y\) for corresponding elements in x and y. For ex... | tensorflow.raw_ops.pow |
tf.raw_ops.PrefetchDataset Creates a dataset that asynchronously prefetches elements from input_dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PrefetchDataset
tf.raw_ops.PrefetchDataset(
input_dataset, buffer_size, output_types, output_shapes, slac... | tensorflow.raw_ops.prefetchdataset |
tf.raw_ops.Prelinearize An op which linearizes one Tensor value to an opaque variant tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Prelinearize
tf.raw_ops.Prelinearize(
input, shape=[], layout=[], name=None
)
Args
input A Tensor. A tensor... | tensorflow.raw_ops.prelinearize |
tf.raw_ops.PrelinearizeTuple An op which linearizes multiple Tensor values to an opaque variant tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PrelinearizeTuple
tf.raw_ops.PrelinearizeTuple(
inputs, shapes, layouts=[], name=None
)
Args
input... | tensorflow.raw_ops.prelinearizetuple |
tf.raw_ops.PreventGradient An identity op that triggers an error if a gradient is requested. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PreventGradient
tf.raw_ops.PreventGradient(
input, message='', name=None
)
When executed in a graph, this op outputs... | tensorflow.raw_ops.preventgradient |
tf.raw_ops.Print Prints a list of tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Print
tf.raw_ops.Print(
input, data, message='', first_n=-1, summarize=3, name=None
)
Passes input through to output and prints data when evaluating.
Args
inpu... | tensorflow.raw_ops.print |
tf.raw_ops.PrintV2 Prints a string scalar. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PrintV2
tf.raw_ops.PrintV2(
input, output_stream='stderr', end='\n', name=None
)
Prints a string scalar to the desired output_stream.
Args
input A Tensor of ... | tensorflow.raw_ops.printv2 |
tf.raw_ops.PriorityQueue A queue that produces elements sorted by the first component value. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PriorityQueue
tf.raw_ops.PriorityQueue(
shapes, component_types=[], capacity=-1, container='',
shared_name='', na... | tensorflow.raw_ops.priorityqueue |
tf.raw_ops.PriorityQueueV2 A queue that produces elements sorted by the first component value. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PriorityQueueV2
tf.raw_ops.PriorityQueueV2(
shapes, component_types=[], capacity=-1, container='',
shared_name=... | tensorflow.raw_ops.priorityqueuev2 |
tf.raw_ops.PrivateThreadPoolDataset Creates a dataset that uses a custom thread pool to compute input_dataset. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PrivateThreadPoolDataset
tf.raw_ops.PrivateThreadPoolDataset(
input_dataset, num_threads, output_ty... | tensorflow.raw_ops.privatethreadpooldataset |
tf.raw_ops.Prod Computes the product of elements across dimensions of a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Prod
tf.raw_ops.Prod(
input, axis, keep_dims=False, name=None
)
Reduces input along the dimensions given in axis. Unless keep_dim... | tensorflow.raw_ops.prod |
tf.raw_ops.PyFunc Invokes a python function to compute func(input)->output. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PyFunc
tf.raw_ops.PyFunc(
input, token, Tout, name=None
)
This operation is considered stateful. For a stateless version, see PyFuncS... | tensorflow.raw_ops.pyfunc |
tf.raw_ops.PyFuncStateless A stateless version of PyFunc. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.PyFuncStateless
tf.raw_ops.PyFuncStateless(
input, token, Tout, name=None
)
Args
input A list of Tensor objects.
token A string.
Tou... | tensorflow.raw_ops.pyfuncstateless |
tf.raw_ops.Qr Computes the QR decompositions of one or more matrices. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.Qr
tf.raw_ops.Qr(
input, full_matrices=False, name=None
)
Computes the QR decomposition of each inner matrix in tensor such that tensor[...... | tensorflow.raw_ops.qr |
tf.raw_ops.QuantizeAndDequantize Use QuantizeAndDequantizeV2 instead. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizeAndDequantize
tf.raw_ops.QuantizeAndDequantize(
input, signed_input=True, num_bits=8, range_given=False, input_min=0,
input_max=... | tensorflow.raw_ops.quantizeanddequantize |
tf.raw_ops.QuantizeAndDequantizeV2 Quantizes then dequantizes a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizeAndDequantizeV2
tf.raw_ops.QuantizeAndDequantizeV2(
input, input_min, input_max, signed_input=True, num_bits=8, range_given=False,... | tensorflow.raw_ops.quantizeanddequantizev2 |
tf.raw_ops.QuantizeAndDequantizeV3 Quantizes then dequantizes a tensor. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizeAndDequantizeV3
tf.raw_ops.QuantizeAndDequantizeV3(
input, input_min, input_max, num_bits, signed_input=True, range_given=True,
... | tensorflow.raw_ops.quantizeanddequantizev3 |
tf.raw_ops.QuantizeAndDequantizeV4 Returns the gradient of QuantizeAndDequantizeV4. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizeAndDequantizeV4
tf.raw_ops.QuantizeAndDequantizeV4(
input, input_min, input_max, signed_input=True, num_bits=8, range_... | tensorflow.raw_ops.quantizeanddequantizev4 |
tf.raw_ops.QuantizeAndDequantizeV4Grad Returns the gradient of QuantizeAndDequantizeV4. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizeAndDequantizeV4Grad
tf.raw_ops.QuantizeAndDequantizeV4Grad(
gradients, input, input_min, input_max, axis=-1, name=... | tensorflow.raw_ops.quantizeanddequantizev4grad |
tf.raw_ops.QuantizedAdd Returns x + y element-wise, working on quantized buffers. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedAdd
tf.raw_ops.QuantizedAdd(
x, y, min_x, max_x, min_y, max_y, Toutput=tf.dtypes.qint32, name=None
)
Args
x A... | tensorflow.raw_ops.quantizedadd |
tf.raw_ops.QuantizedAvgPool Produces the average pool of the input tensor for quantized types. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedAvgPool
tf.raw_ops.QuantizedAvgPool(
input, min_input, max_input, ksize, strides, padding, name=None
)
... | tensorflow.raw_ops.quantizedavgpool |
tf.raw_ops.QuantizedBatchNormWithGlobalNormalization Quantized Batch normalization. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedBatchNormWithGlobalNormalization
tf.raw_ops.QuantizedBatchNormWithGlobalNormalization(
t, t_min, t_max, m, m_min, m_m... | tensorflow.raw_ops.quantizedbatchnormwithglobalnormalization |
tf.raw_ops.QuantizedBiasAdd Adds Tensor 'bias' to Tensor 'input' for Quantized types. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedBiasAdd
tf.raw_ops.QuantizedBiasAdd(
input, bias, min_input, max_input, min_bias, max_bias, out_type, name=None
)
... | tensorflow.raw_ops.quantizedbiasadd |
tf.raw_ops.QuantizedConcat Concatenates quantized tensors along one dimension. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConcat
tf.raw_ops.QuantizedConcat(
concat_dim, values, input_mins, input_maxes, name=None
)
Args
concat_dim A Te... | tensorflow.raw_ops.quantizedconcat |
tf.raw_ops.QuantizedConv2D Computes a 2D convolution given quantized 4D input and filter tensors. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2D
tf.raw_ops.QuantizedConv2D(
input, filter, min_input, max_input, min_filter, max_filter, strides... | tensorflow.raw_ops.quantizedconv2d |
tf.raw_ops.QuantizedConv2DAndRelu View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2DAndRelu
tf.raw_ops.QuantizedConv2DAndRelu(
input, filter, min_input, max_input, min_filter, max_filter, strides, padding,
out_type=tf.dtypes.qint32, dilation... | tensorflow.raw_ops.quantizedconv2dandrelu |
tf.raw_ops.QuantizedConv2DAndReluAndRequantize View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2DAndReluAndRequantize
tf.raw_ops.QuantizedConv2DAndReluAndRequantize(
input, filter, min_input, max_input, min_filter, max_filter, min_freezed_output... | tensorflow.raw_ops.quantizedconv2dandreluandrequantize |
tf.raw_ops.QuantizedConv2DAndRequantize View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2DAndRequantize
tf.raw_ops.QuantizedConv2DAndRequantize(
input, filter, min_input, max_input, min_filter, max_filter, min_freezed_output,
max_freezed_out... | tensorflow.raw_ops.quantizedconv2dandrequantize |
tf.raw_ops.QuantizedConv2DPerChannel Computes QuantizedConv2D per channel. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2DPerChannel
tf.raw_ops.QuantizedConv2DPerChannel(
input, filter, min_input, max_input, min_filter, max_filter, strides, p... | tensorflow.raw_ops.quantizedconv2dperchannel |
tf.raw_ops.QuantizedConv2DWithBias View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2DWithBias
tf.raw_ops.QuantizedConv2DWithBias(
input, filter, bias, min_input, max_input, min_filter, max_filter, strides,
padding, out_type=tf.dtypes.qint32,... | tensorflow.raw_ops.quantizedconv2dwithbias |
tf.raw_ops.QuantizedConv2DWithBiasAndRelu View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2DWithBiasAndRelu
tf.raw_ops.QuantizedConv2DWithBiasAndRelu(
input, filter, bias, min_input, max_input, min_filter, max_filter, strides,
padding, out_t... | tensorflow.raw_ops.quantizedconv2dwithbiasandrelu |
tf.raw_ops.QuantizedConv2DWithBiasAndReluAndRequantize View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2DWithBiasAndReluAndRequantize
tf.raw_ops.QuantizedConv2DWithBiasAndReluAndRequantize(
input, filter, bias, min_input, max_input, min_filter, ... | tensorflow.raw_ops.quantizedconv2dwithbiasandreluandrequantize |
tf.raw_ops.QuantizedConv2DWithBiasAndRequantize View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2DWithBiasAndRequantize
tf.raw_ops.QuantizedConv2DWithBiasAndRequantize(
input, filter, bias, min_input, max_input, min_filter, max_filter,
min_f... | tensorflow.raw_ops.quantizedconv2dwithbiasandrequantize |
tf.raw_ops.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize
tf.raw_ops.QuantizedConv2DWithBiasSignedSumAndReluAndRequantize(
input, filter, bias, min_inp... | tensorflow.raw_ops.quantizedconv2dwithbiassignedsumandreluandrequantize |
tf.raw_ops.QuantizedConv2DWithBiasSumAndRelu View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2DWithBiasSumAndRelu
tf.raw_ops.QuantizedConv2DWithBiasSumAndRelu(
input, filter, bias, min_input, max_input, min_filter, max_filter, summand,
strid... | tensorflow.raw_ops.quantizedconv2dwithbiassumandrelu |
tf.raw_ops.QuantizedConv2DWithBiasSumAndReluAndRequantize View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedConv2DWithBiasSumAndReluAndRequantize
tf.raw_ops.QuantizedConv2DWithBiasSumAndReluAndRequantize(
input, filter, bias, min_input, max_input, min... | tensorflow.raw_ops.quantizedconv2dwithbiassumandreluandrequantize |
tf.raw_ops.QuantizedDepthwiseConv2D Computes quantized depthwise Conv2D. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedDepthwiseConv2D
tf.raw_ops.QuantizedDepthwiseConv2D(
input, filter, min_input, max_input, min_filter, max_filter, strides, paddi... | tensorflow.raw_ops.quantizeddepthwiseconv2d |
tf.raw_ops.QuantizedDepthwiseConv2DWithBias Computes quantized depthwise Conv2D with Bias. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedDepthwiseConv2DWithBias
tf.raw_ops.QuantizedDepthwiseConv2DWithBias(
input, filter, bias, min_input, max_input... | tensorflow.raw_ops.quantizeddepthwiseconv2dwithbias |
tf.raw_ops.QuantizedDepthwiseConv2DWithBiasAndRelu Computes quantized depthwise Conv2D with Bias and Relu. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedDepthwiseConv2DWithBiasAndRelu
tf.raw_ops.QuantizedDepthwiseConv2DWithBiasAndRelu(
input, filt... | tensorflow.raw_ops.quantizeddepthwiseconv2dwithbiasandrelu |
tf.raw_ops.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize Computes quantized depthwise Conv2D with Bias, Relu and Requantize. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedDepthwiseConv2DWithBiasAndReluAndRequantize
tf.raw_ops.QuantizedDepthwise... | tensorflow.raw_ops.quantizeddepthwiseconv2dwithbiasandreluandrequantize |
tf.raw_ops.QuantizedInstanceNorm Quantized Instance normalization. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedInstanceNorm
tf.raw_ops.QuantizedInstanceNorm(
x, x_min, x_max, output_range_given=False, given_y_min=0, given_y_max=0,
variance_e... | tensorflow.raw_ops.quantizedinstancenorm |
tf.raw_ops.QuantizedMatMul Perform a quantized matrix multiplication of a by the matrix b. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedMatMul
tf.raw_ops.QuantizedMatMul(
a, b, min_a, max_a, min_b, max_b, Toutput=tf.dtypes.qint32, transpose_a=Fal... | tensorflow.raw_ops.quantizedmatmul |
tf.raw_ops.QuantizedMatMulWithBias Performs a quantized matrix multiplication of a by the matrix b with bias View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedMatMulWithBias
tf.raw_ops.QuantizedMatMulWithBias(
a, b, bias, min_a, max_a, min_b, max_b, T... | tensorflow.raw_ops.quantizedmatmulwithbias |
tf.raw_ops.QuantizedMatMulWithBiasAndDequantize View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedMatMulWithBiasAndDequantize
tf.raw_ops.QuantizedMatMulWithBiasAndDequantize(
a, b, bias, min_a, max_a, min_b, max_b, min_freezed_output, max_freezed_outp... | tensorflow.raw_ops.quantizedmatmulwithbiasanddequantize |
tf.raw_ops.QuantizedMatMulWithBiasAndRelu Perform a quantized matrix multiplication of a by the matrix b with bias View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedMatMulWithBiasAndRelu
tf.raw_ops.QuantizedMatMulWithBiasAndRelu(
a, b, bias, min_a, ma... | tensorflow.raw_ops.quantizedmatmulwithbiasandrelu |
tf.raw_ops.QuantizedMatMulWithBiasAndReluAndRequantize Perform a quantized matrix multiplication of a by the matrix b with bias View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedMatMulWithBiasAndReluAndRequantize
tf.raw_ops.QuantizedMatMulWithBiasAndReluA... | tensorflow.raw_ops.quantizedmatmulwithbiasandreluandrequantize |
tf.raw_ops.QuantizedMatMulWithBiasAndRequantize View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedMatMulWithBiasAndRequantize
tf.raw_ops.QuantizedMatMulWithBiasAndRequantize(
a, b, bias, min_a, max_a, min_b, max_b, min_freezed_output, max_freezed_outp... | tensorflow.raw_ops.quantizedmatmulwithbiasandrequantize |
tf.raw_ops.QuantizedMaxPool Produces the max pool of the input tensor for quantized types. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedMaxPool
tf.raw_ops.QuantizedMaxPool(
input, min_input, max_input, ksize, strides, padding, name=None
)
A... | tensorflow.raw_ops.quantizedmaxpool |
tf.raw_ops.QuantizedMul Returns x * y element-wise, working on quantized buffers. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedMul
tf.raw_ops.QuantizedMul(
x, y, min_x, max_x, min_y, max_y, Toutput=tf.dtypes.qint32, name=None
)
Args
x A... | tensorflow.raw_ops.quantizedmul |
tf.raw_ops.QuantizeDownAndShrinkRange Convert the quantized 'input' tensor into a lower-precision 'output', using the View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizeDownAndShrinkRange
tf.raw_ops.QuantizeDownAndShrinkRange(
input, input_min, input_ma... | tensorflow.raw_ops.quantizedownandshrinkrange |
tf.raw_ops.QuantizedRelu Computes Quantized Rectified Linear: max(features, 0) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedRelu
tf.raw_ops.QuantizedRelu(
features, min_features, max_features, out_type=tf.dtypes.quint8, name=None
)
Args
f... | tensorflow.raw_ops.quantizedrelu |
tf.raw_ops.QuantizedRelu6 Computes Quantized Rectified Linear 6: min(max(features, 0), 6) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedRelu6
tf.raw_ops.QuantizedRelu6(
features, min_features, max_features, out_type=tf.dtypes.quint8, name=None
)
... | tensorflow.raw_ops.quantizedrelu6 |
tf.raw_ops.QuantizedReluX Computes Quantized Rectified Linear X: min(max(features, 0), max_value) View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedReluX
tf.raw_ops.QuantizedReluX(
features, max_value, min_features, max_features, out_type=tf.dtypes.qu... | tensorflow.raw_ops.quantizedrelux |
tf.raw_ops.QuantizedReshape Reshapes a quantized tensor as per the Reshape op. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedReshape
tf.raw_ops.QuantizedReshape(
tensor, shape, input_min, input_max, name=None
)
<!-- Tabular view -->
<table clas... | tensorflow.raw_ops.quantizedreshape |
tf.raw_ops.QuantizedResizeBilinear Resize quantized images to size using quantized bilinear interpolation. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizedResizeBilinear
tf.raw_ops.QuantizedResizeBilinear(
images, size, min, max, align_corners=False... | tensorflow.raw_ops.quantizedresizebilinear |
tf.raw_ops.QuantizeV2 Quantize the 'input' tensor of type float to 'output' tensor of type 'T'. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QuantizeV2
tf.raw_ops.QuantizeV2(
input, min_range, max_range, T, mode='MIN_COMBINED',
round_mode='HALF_AWAY_F... | tensorflow.raw_ops.quantizev2 |
tf.raw_ops.QueueClose Closes the given queue. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QueueClose
tf.raw_ops.QueueClose(
handle, cancel_pending_enqueues=False, name=None
)
This operation signals that no more elements will be enqueued in the given que... | tensorflow.raw_ops.queueclose |
tf.raw_ops.QueueCloseV2 Closes the given queue. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QueueCloseV2
tf.raw_ops.QueueCloseV2(
handle, cancel_pending_enqueues=False, name=None
)
This operation signals that no more elements will be enqueued in the giv... | tensorflow.raw_ops.queueclosev2 |
tf.raw_ops.QueueDequeue Dequeues a tuple of one or more tensors from the given queue. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QueueDequeue
tf.raw_ops.QueueDequeue(
handle, component_types, timeout_ms=-1, name=None
)
This operation has k outputs, whe... | tensorflow.raw_ops.queuedequeue |
tf.raw_ops.QueueDequeueMany Dequeues n tuples of one or more tensors from the given queue. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QueueDequeueMany
tf.raw_ops.QueueDequeueMany(
handle, n, component_types, timeout_ms=-1, name=None
)
If the queue is c... | tensorflow.raw_ops.queuedequeuemany |
tf.raw_ops.QueueDequeueManyV2 Dequeues n tuples of one or more tensors from the given queue. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QueueDequeueManyV2
tf.raw_ops.QueueDequeueManyV2(
handle, n, component_types, timeout_ms=-1, name=None
)
If the queu... | tensorflow.raw_ops.queuedequeuemanyv2 |
tf.raw_ops.QueueDequeueUpTo Dequeues n tuples of one or more tensors from the given queue. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QueueDequeueUpTo
tf.raw_ops.QueueDequeueUpTo(
handle, n, component_types, timeout_ms=-1, name=None
)
This operation is... | tensorflow.raw_ops.queuedequeueupto |
tf.raw_ops.QueueDequeueUpToV2 Dequeues n tuples of one or more tensors from the given queue. View aliases Compat aliases for migration
See Migration guide for more details. tf.compat.v1.raw_ops.QueueDequeueUpToV2
tf.raw_ops.QueueDequeueUpToV2(
handle, n, component_types, timeout_ms=-1, name=None
)
This operat... | tensorflow.raw_ops.queuedequeueuptov2 |
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