|TensorFlow 2 version|
See the Testing guide.
class Benchmark: Abstract class that provides helpers for TensorFlow benchmarks.
class TestCase: Base class for tests that need to test TensorFlow.
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
create_local_cluster(...): Create and start local servers and return the associated
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.