tf.sysconfig.get

TensorFlow 1 version

Testing.

Classes

class Benchmark: Abstract class that provides helpers for TensorFlow benchmarks.

class TestCase: Base class for tests that need to test TensorFlow.

Functions

assert_equal_graph_def(...): Asserts that two GraphDefs are (mostly) the same.

benchmark_config(...): Returns a tf.compat.v1.ConfigProto for disabling the dependency optimizer.

compute_gradient(...): Computes the theoretical and numeric Jacobian of f.

create_local_cluster(...): Create and start local servers and return the associated Server objects.

gpu_device_name(...): Returns the name of a GPU device if available or the empty string.

is_built_with_cuda(...): Returns whether TensorFlow was built with CUDA (GPU) support.

is_built_with_gpu_support(...): Returns whether TensorFlow was built with GPU (i.e. CUDA or ROCm) support.

is_built_with_rocm(...): Returns whether TensorFlow was built with ROCm (GPU) support.

is_built_with_xla(...): Returns whether TensorFlow was built with XLA support.

is_gpu_available(...): Returns whether TensorFlow can access a GPU. (deprecated)

main(...): Runs all unit tests.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.sysconfig / get_lib

Classes

Functions