实施例

Question

我试图通过input_fn来了解tf.data.Dataset中我遇到的瓶颈，所以我认为我使用tf.profiler但它只显示了迭代器操作。如何让探查器在我的数据集管道中输出相关的操作？

实施例

dataset = input_fn()
iterator = dataset.make_one_shot_iterator()
minibatch = iterator.get_next()
run_metadata = tf.RunMetadata()
with tf.Session() as session:
    features, labels = session.run(minibatch, 
                                   options=tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE),
                                   run_metadata=run_metadata)

tf.profiler.advise(tf.get_default_graph(), run_metadata)

输出：

checkers {
  key: "AcceleratorUtilizationChecker"
  value {
  }
}
checkers {
  key: "ExpensiveOperationChecker"
  value {
    reports: "top 1 operation type: IteratorGetNext, cpu: 79.89sec, accelerator: 0us, total: 79.89sec (99.96%)\ntop 2 operation type: OneShotIterator, cpu: 27.92ms, accelerator: 0us, total: 27.92ms (0.03%)\ntop 3 operation type: _retval_IteratorGetNext_3_3, cpu: 57us, accelerator: 0us, total: 57us (0.00%)"
    reports: "top 1 graph node: IteratorGetNext, cpu: 79.89sec, accelerator: 0us, total: 79.89sec\ntop 2 graph node: OneShotIterator, cpu: 27.92ms, accelerator: 0us, total: 27.92ms"
    reports: "<ipython-input-2-c5f67ba0356f>:49:<module>, cpu: 79.89sec, accelerator: 0us, total: 79.89sec\n<ipython-input-2-c5f67ba0356f>:48:<module>, cpu: 27.92ms, accelerator: 0us, total: 27.92ms"
  }
}
checkers {
  key: "OperationChecker"
  value {
  }
}

Answer 1

好像没有实现tf.data分析。它似乎是在版本1.14中添加的。此代码段：

import tensorflow as tf

dataset = tf.data.Dataset.range(100)
dataset = dataset.shuffle(30)
dataset = dataset.repeat()

iterator = dataset.make_one_shot_iterator()
minibatch = iterator.get_next()
run_metadata = tf.RunMetadata()
options = tf.RunOptions(trace_level=tf.RunOptions.FULL_TRACE)
with tf.Session() as session:
    session.run(minibatch, options=options, run_metadata=run_metadata)

tf.profiler.advise(tf.get_default_graph(), run_metadata)

输出：

Parsing Inputs...

ExpensiveOperationChecker:
top 1 operation type: OneShotIterator, cpu: 3.01ms, accelerator: 0us, total: 3.01ms (87.19%)
top 2 operation type: IteratorGetNext, cpu: 440us, accelerator: 0us, total: 440us (12.75%)
top 3 operation type: _retval_IteratorGetNext_0_0, cpu: 2us, accelerator: 0us, total: 2us (0.06%)
top 1 graph node: OneShotIterator, cpu: 3.01ms, accelerator: 0us, total: 3.01ms
top 2 graph node: IteratorGetNext, cpu: 440us, accelerator: 0us, total: 440us
test.py:7:<module>, cpu: 3.01ms, accelerator: 0us, total: 3.01ms

OperationChecker:

AcceleratorUtilizationChecker:

如何配置tf.data.Dataset？

实施例

1 个答案: