阅读(3671) (6)

TensorFlow如何使用类表示设备

2017-09-30 17:35:51 更新

#版权所有2015 TensorFlow作者.版权所有.

#根据Apache许可证版本2.0(“许可证”)许可;

#除非符合许可证,否则您不得使用此文件.

#您可以获得许可证的副本

#http://www.apache.org/licenses/LICENSE-2.0

#除非适用法律要求或书面同意软件

根据许可证分发的#分发在“按原样”基础上,

#无明示或暗示的任何种类的保证或条件.

#查看有关权限的特定语言的许可证

许可证下的#限制.

# =============================================== =============================

“”“表示设备的类”.“”

from __future__ import absolute_import from __future__ import division from __future__ import print_function import copy class DeviceSpec(object): """Represents a (possibly partial) specification for a TensorFlow device. `DeviceSpec`s are used throughout TensorFlow to describe where state is stored and computations occur. Using `DeviceSpec` allows you to parse device spec strings to verify their validity, merge them or compose them programmatically. Example: ```python # Place the operations on device "GPU:0" in the "ps" job. device_spec = DeviceSpec(job="ps", device_type="GPU", device_index=0) with tf.device(device_spec): # Both my_var and squared_var will be placed on /job:ps/device:GPU:0. my_var = tf.Variable(..., name="my_variable") squared_var = tf.square(my_var) ``` If a `DeviceSpec` is partially specified, it will be merged with other `DeviceSpec`s according to the scope in which it is defined. `DeviceSpec` components defined in inner scopes take precedence over those defined in outer scopes. ```python with tf.device(DeviceSpec(job="train", )): with tf.device(DeviceSpec(job="ps", device_type="GPU", device_index=0): # Nodes created here will be assigned to /job:ps/device:GPU:0. with tf.device(DeviceSpec(device_type="GPU", device_index=1): # Nodes created here will be assigned to /job:train/device:GPU:1. ``` A `DeviceSpec` consists of 5 components -- each of which is optionally specified: * Job: The job name. * Replica: The replica index. * Task: The task index. * Device type: The device type string (e.g. "CPU" or "GPU"). * Device index: The device index. """ def __init__(self, job=None, replica=None, task=None, device_type=None, device_index=None): """Create a new `DeviceSpec` object. Args: job: string. Optional job name. replica: int. Optional replica index. task: int. Optional task index. device_type: Optional device type string (e.g. "CPU" or "GPU") device_index: int. Optional device index. If left unspecified, device represents 'any' device_index. """ self.job = job self.replica = replica self.task = task if device_type == "cpu" or device_type == "gpu": # For backwards compatibility only, we support lowercase variants of # cpu and gpu but turn them into uppercase here. self.device_type = device_type.upper() else: self.device_type = device_type self.device_index = device_index def _clear(self): self._job = None self._replica = None self._task = None self.device_type = None self.device_index = None @property def job(self): return self._job @job.setter def job(self, job): if job is not None: self._job = str(job) else: self._job = None @property def replica(self): return self._replica @replica.setter def replica(self, replica): if replica is not None: self._replica = int(replica) else: self._replica = None @property def task(self): return self._task @task.setter def task(self, task): if task is not None: self._task = int(task) else: self._task = None def parse_from_string(self, spec): """Parse a `DeviceSpec` name into its components. Args: spec: a string of the form /job:<name>/replica:<id>/task:<id>/device:CPU:<id> or /job:<name>/replica:<id>/task:<id>/device:GPU:<id> as cpu and gpu are mutually exclusive. All entries are optional. Returns: The `DeviceSpec`. Raises: ValueError: if the spec was not valid. """ self._clear() splits = [x.split(":") for x in spec.split("/")] for y in splits: ly = len(y) if y: # NOTE(touts): we use the property getters here. if ly == 2 and y[0] == "job": self.job = y[1] elif ly == 2 and y[0] == "replica": self.replica = y[1] elif ly == 2 and y[0] == "task": self.task = y[1] elif ((ly == 1 or ly == 2) and ((y[0].upper() == "GPU") or (y[0].upper() == "CPU"))): if self.device_type is not None: raise ValueError("Cannot specify multiple device types: %s" % spec) self.device_type = y[0].upper() if ly == 2 and y[1] != "*": self.device_index = int(y[1]) elif ly == 3 and y[0] == "device": if self.device_type is not None: raise ValueError("Cannot specify multiple device types: %s" % spec) self.device_type = y[1] if y[2] != "*": self.device_index = int(y[2]) elif ly and y[0] != "": # pylint: disable=g-explicit-bool-comparison raise ValueError("Unknown attribute: '%s' in '%s'" % (y[0], spec)) return self def merge_from(self, dev): """Merge the properties of "dev" into this `DeviceSpec`. Args: dev: a `DeviceSpec`. """ if dev.job is not None: self.job = dev.job if dev.replica is not None: self.replica = dev.replica if dev.task is not None: self.task = dev.task if dev.device_type is not None: self.device_type = dev.device_type if dev.device_index is not None: self.device_index = dev.device_index def to_string(self): """Return a string representation of this `DeviceSpec`. Returns: a string of the form /job:<name>/replica:<id>/task:<id>/device:<device_type>:<id>. """ dev = "" if self.job is not None: dev += "/job:" + self.job if self.replica is not None: dev += "/replica:" + str(self.replica) if self.task is not None: dev += "/task:" + str(self.task) if self.device_type is not None: device_index_string = "*" if self.device_index is not None: device_index_string = str(self.device_index) dev += "/device:%s:%s" % (self.device_type, device_index_string) return dev @staticmethod def from_string(spec): """Construct a `DeviceSpec` from a string. Args: spec: a string of the form /job:<name>/replica:<id>/task:<id>/device:CPU:<id> or /job:<name>/replica:<id>/task:<id>/device:GPU:<id> as cpu and gpu are mutually exclusive. All entries are optional. Returns: A DeviceSpec. """ return DeviceSpec().parse_from_string(spec) def check_valid(spec): """Check that a device spec is valid. Args: spec: a string. Raises: An exception if the spec is invalid. """ # Construct a DeviceSpec. It will assert a failure if spec is invalid. DeviceSpec.from_string(spec) def canonical_name(device): """Returns a canonical name for the given `DeviceSpec` or device name.""" if device is None: return "" if isinstance(device, DeviceSpec): return device.to_string() else: device = DeviceSpec.from_string(device) return device.to_string() def merge_device(spec): """Returns a device function that merges devices specifications. This can be used to merge partial specifications of devices. The innermost setting for a device field takes precedence. For example: with tf.device(merge_device("/device:GPU:0")) # Nodes created here have device "/device:GPU:0" with tf.device(merge_device("/job:worker")): # Nodes created here have device "/job:worker/device:GPU:0" with tf.device(merge_device("/device:CPU:0")): # Nodes created here have device "/job:worker/device:CPU:0" with tf.device(merge_device("/job:ps")): # Nodes created here have device "/job:ps/device:CPU:0" Args: spec: A `DeviceSpec` or a device spec string (partially) describing the device that should be used for all nodes created in the scope of the returned device function's with block. Returns: A device function with the above-described behavior. Raises: ValueError: if the spec was not valid. """ if not isinstance(spec, DeviceSpec): spec = DeviceSpec.from_string(spec or "") def _device_function(node_def): current_device = DeviceSpec.from_string(node_def.device or "") copy_spec = copy.copy(spec) copy_spec.merge_from(current_device) # current_device takes precedence. return copy_spec return _device_function