1d54cbf4a2
The new toggle replaces ENABLE_COND_V2, ENABLE_WHILE_V2, and ENABLE_TENSOR_ARRAY_V2. This means that these can't be toggled independently anymore, notably that v1 TensorArrays can only be run with v1 loops, and v2 TensorArrays with v2 loops. This also introduces a corresponding environment variable TF_ENABLE_CONTROL_FLOW_V2. I kept the old env vars as well in case people are using them. They all flip the new single toggle now. In addition, this change removes some while_v2 code for dealing with v1 TensorArrays, since this is no longer a supported configuration. PiperOrigin-RevId: 224862245
124 lines
3.9 KiB
Python
124 lines
3.9 KiB
Python
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Benchmark for control flow ops."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import time
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from tensorflow.python.client import session
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from tensorflow.python.eager import context
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from tensorflow.python.eager import function
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import ops
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from tensorflow.python.ops import array_ops
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from tensorflow.python.ops import control_flow_ops
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from tensorflow.python.ops import control_flow_util
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from tensorflow.python.ops import math_ops
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from tensorflow.python.ops import random_ops
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from tensorflow.python.platform import test
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class CondWithManyIntermediatesBenchmark(test.Benchmark):
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"""Checks the runtime performance of outputting all intermediates."""
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NUM_INTERMEDIATES = 1000
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NUM_ITERS = 500
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NUM_WARM_UP_ITERS = 50
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def _create_cond(self, x):
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def branch_fn():
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# Use a random value so the adds can't be constant folded.
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return x + sum(random_ops.random_normal([])
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for _ in range(self.NUM_INTERMEDIATES))
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# Use a dynamic predicate to make sure the cond isn't constant folded.
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return control_flow_ops.cond(math_ops.not_equal(x, -1),
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branch_fn, lambda: 0.0)
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def _benchmark_defun(self):
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"""Benchmarks cond in a defun."""
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@function.defun
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def cond_fn(x):
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return self._create_cond(x)
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# Warm up
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for _ in range(self.NUM_WARM_UP_ITERS):
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cond_fn(0.0)
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start_time = time.time()
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for _ in range(self.NUM_ITERS):
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cond_fn(0.0)
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self.report_benchmark(
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wall_time=time.time() - start_time,
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iters=self.NUM_ITERS)
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def _benchmark_graph(self):
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"""Benchmarks cond in legacy graph mode."""
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with context.graph_mode():
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with ops.Graph().as_default():
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x = array_ops.placeholder(dtypes.float32)
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cond_val = self._create_cond(x)
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with session.Session() as sess:
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cond_fn = sess.make_callable(cond_val, [x])
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# Warm up
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for _ in range(self.NUM_WARM_UP_ITERS):
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cond_fn(0.0)
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start_time = time.time()
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for _ in range(self.NUM_ITERS):
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cond_fn(0.0)
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self.report_benchmark(
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wall_time=time.time() - start_time,
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iters=self.NUM_ITERS)
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def benchmark_cond_v1_defun(self):
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old_val = control_flow_util.ENABLE_CONTROL_FLOW_V2
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control_flow_util.ENABLE_CONTROL_FLOW_V2 = False
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self._benchmark_defun()
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control_flow_util.ENABLE_CONTROL_FLOW_V2 = old_val
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def benchmark_cond_v2_defun(self):
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old_val = control_flow_util.ENABLE_CONTROL_FLOW_V2
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control_flow_util.ENABLE_CONTROL_FLOW_V2 = True
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self._benchmark_defun()
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control_flow_util.ENABLE_CONTROL_FLOW_V2 = old_val
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def benchmark_cond_v1_graph(self):
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old_val = control_flow_util.ENABLE_CONTROL_FLOW_V2
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control_flow_util.ENABLE_CONTROL_FLOW_V2 = False
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self._benchmark_graph()
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control_flow_util.ENABLE_CONTROL_FLOW_V2 = old_val
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def benchmark_cond_v2_graph(self):
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old_val = control_flow_util.ENABLE_CONTROL_FLOW_V2
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control_flow_util.ENABLE_CONTROL_FLOW_V2 = True
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self._benchmark_graph()
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control_flow_util.ENABLE_CONTROL_FLOW_V2 = old_val
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if __name__ == "__main__":
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ops.enable_eager_execution()
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test.main()
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