def list_local_devices(session_config=None):
def _convert(pb_str):
m = device_attributes_pb2.DeviceAttributes()
m.ParseFromString(pb_str)
return m
return [
_convert(s)
for s in pywrap_tensorflow.list_devices(session_config=session_config)
]
def list_local_devices():
"""List the available devices available in the local process.
Returns:
A list of `DeviceAttribute` protocol buffers.
"""
def _convert(pb_str):
m = device_attributes_pb2.DeviceAttributes()
m.ParseFromString(pb_str)
return m
return [_convert(s) for s in pywrap_tensorflow.list_devices()]
def list_local_devices():
"""List the available devices available in the local process.
Returns:
A list of `DeviceAttribute` protocol buffers.
"""
def _convert(pb_str):
m = device_attributes_pb2.DeviceAttributes()
m.ParseFromString(pb_str)
return m
return [_convert(s) for s in pywrap_tensorflow.list_devices()]
def list_local_devices(session_config=None):
"""List the available devices available in the local process.
Args:
session_config: a session config proto or None to use the default config.
Returns:
A list of `DeviceAttribute` protocol buffers.
"""
def _convert(pb_str):
m = device_attributes_pb2.DeviceAttributes()
m.ParseFromString(pb_str)
return m
return [
_convert(s)
for s in pywrap_tensorflow.list_devices(session_config=session_config)
]
def list_local_devices(session_config=None):
"""List the available devices available in the local process.
Args:
session_config: a session config proto or None to use the default config.
Returns:
A list of `DeviceAttribute` protocol buffers.
"""
def _convert(pb_str):
m = device_attributes_pb2.DeviceAttributes()
m.ParseFromString(pb_str)
return m
return [
_convert(s)
for s in pywrap_tensorflow.list_devices(session_config=session_config)
]
# 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.
# ==============================================================================
import tensorflow as tf
import numpy as np
print("DEVICES: ")
from tensorflow.python import pywrap_tensorflow
pywrap_tensorflow.list_devices()
x = tf.placeholder(tf.float32, shape=(2, 3))
y = tf.placeholder(tf.float32, shape=(2, 3))
print("Python: Creating devices:" )
with tf.device("/device:NGRAPH:0"):
#with tf.device("/device:DYNAMIC_PLUGIN:0"):
#with tf.device("/device:XLA_DYNAMIC_PLUGIN:0"):
#with tf.device("/device:XLA_TEST_PLUGIN:0"):
a = x + y
with tf.Session() as sess:
print("Python: Running with Session" )
res = sess.run(a, feed_dict={x: np.ones((2, 3)), y: np.ones((2, 3))})
np.testing.assert_allclose(res, np.ones((2, 3)) * 2.)
