Module: tf.compat.v2.test

Testing.

See the Testing guide.

Note: tf.compat.v1.test.mock is an alias to the python mock or unittest.mock depending on the python version.

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_gpu_available(...): Returns whether TensorFlow can access a GPU.

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