提交 ee2a5435 编写于 作者: L Le Hou 提交者: A. Unique TensorFlower

Internal change

PiperOrigin-RevId: 395980073
上级 9db38a15
# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Global streamz counters."""
from tensorflow.python.eager import monitoring
progressive_policy_creation_counter = monitoring.Counter(
"/tensorflow/training/fast_training/progressive_policy_creation",
"Counter for the number of ProgressivePolicy creations.")
stack_vars_to_vars_call_counter = monitoring.Counter(
"/tensorflow/training/fast_training/tf_vars_to_vars",
"Counter for the number of low-level stacking API calls.")
......@@ -25,16 +25,11 @@ from absl import logging
import six
import tensorflow as tf
from tensorflow.python.eager import monitoring
from official.common import streamz_counters
from official.modeling.fast_training.progressive import utils
from official.modeling.hyperparams import base_config
_progressive_policy_creation_counter = monitoring.Counter(
'/tensorflow/training/fast_training/progressive_policy_creation',
'Counter for the number of ProgressivePolicy creations.')
@dataclasses.dataclass
class ProgressiveConfig(base_config.Config):
pass
......@@ -76,7 +71,8 @@ class ProgressivePolicy:
optimizer=self.get_optimizer(stage_id),
model=self.get_model(stage_id, old_model=None))
_progressive_policy_creation_counter.get_cell().increase_by(1)
streamz_counters.progressive_policy_creation_counter.get_cell(
).increase_by(1)
def compute_stage_id(self, global_step: int) -> int:
for stage_id in range(self.num_stages()):
......
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