tf.test.Benchmark

class tf.test.Benchmark

Abstract class that provides helpers for TensorFlow benchmarks.

Methods

is_abstract(cls)

report_benchmark(iters=None, cpu_time=None, wall_time=None, throughput=None, extras=None, name=None)

Report a benchmark.

Args:

• iters: (optional) How many iterations were run
• cpu_time: (optional) Total cpu time in seconds
• wall_time: (optional) Total wall time in seconds
• throughput: (optional) Throughput (in MB/s)
• extras: (optional) Dict mapping string keys to additional benchmark info. Values may be either floats or values that are convertible to strings.
• name: (optional) Override the BenchmarkEntry name with name. Otherwise it is inferred from the top-level method name.

run_op_benchmark(sess, op_or_tensor, feed_dict=None, burn_iters=2, min_iters=10, store_trace=False, store_memory_usage=True, name=None, extras=None, mbs=0)

Run an op or tensor in the given session. Report the results.

Args:

• sess: Session object to use for timing.
• op_or_tensor: Operation or Tensor to benchmark.
• feed_dict: A dict of values to feed for each op iteration (see the feed_dict parameter of Session.run).
• burn_iters: Number of burn-in iterations to run.
• min_iters: Minimum number of iterations to use for timing.
• store_trace: Boolean, whether to run an extra untimed iteration and store the trace of iteration in the benchmark report. The trace will be stored as a string in Google Chrome trace format in the extras field "full_trace_chrome_format".
• store_memory_usage: Boolean, whether to run an extra untimed iteration, calculate memory usage, and store that in extras fields.
• name: (optional) Override the BenchmarkEntry name with name. Otherwise it is inferred from the top-level method name.
• extras: (optional) Dict mapping string keys to additional benchmark info. Values may be either floats or values that are convertible to strings.
• mbs: (optional) The number of megabytes moved by this op, used to calculate the ops throughput.

Returns:

A dict containing the key-value pairs that were passed to report_benchmark.

Class Members

__init__

Defined in tensorflow/python/platform/benchmark.py.