# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Neural network ops for LabeledTensors."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib import nn as contrib_nn
from tensorflow.contrib.labeled_tensor.python.ops import core
from tensorflow.python.ops import nn
relu = core.define_unary_op('relu', nn.relu)
relu6 = core.define_unary_op('relu6', nn.relu6)
crelu = core.define_unary_op('crelu', nn.crelu)
elu = core.define_unary_op('elu', nn.elu)
softplus = core.define_unary_op('softplus', nn.softplus)
l2_loss = core.define_unary_op('l2_loss', nn.l2_loss)
sigmoid_cross_entropy_with_logits = core.define_binary_op(
'sigmoid_cross_entropy_with_logits',
contrib_nn.deprecated_flipped_sigmoid_cross_entropy_with_logits)
softmax = core.define_unary_op('softmax', nn.softmax)
log_softmax = core.define_unary_op('log_softmax', nn.log_softmax)
softmax_cross_entropy_with_logits = core.define_binary_op(
'softmax_cross_entropy_with_logits',
contrib_nn.deprecated_flipped_softmax_cross_entropy_with_logits)
sparse_softmax_cross_entropy_with_logits = core.define_binary_op(
'sparse_softmax_cross_entropy_with_logits',
contrib_nn.deprecated_flipped_sparse_softmax_cross_entropy_with_logits)
# limitations under the License.
# ==============================================================================
"""Neural network ops for LabeledTensors."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.labeled_tensor.python.ops import core
from tensorflow.python.ops import nn
relu = core.define_unary_op('relu', nn.relu)
relu6 = core.define_unary_op('relu6', nn.relu6)
crelu = core.define_unary_op('crelu', nn.crelu)
elu = core.define_unary_op('elu', nn.elu)
softplus = core.define_unary_op('softplus', nn.softplus)
l2_loss = core.define_unary_op('l2_loss', nn.l2_loss)
sigmoid_cross_entropy_with_logits = core.define_binary_op(
'sigmoid_cross_entropy_with_logits',
nn.sigmoid_cross_entropy_with_logits)
softmax = core.define_unary_op('softmax', nn.softmax)
log_softmax = core.define_unary_op('log_softmax', nn.log_softmax)
softmax_cross_entropy_with_logits = core.define_binary_op(
'softmax_cross_entropy_with_logits',
nn.softmax_cross_entropy_with_logits)
sparse_softmax_cross_entropy_with_logits = core.define_binary_op(
'sparse_softmax_cross_entropy_with_logits',
nn.sparse_softmax_cross_entropy_with_logits)
# limitations under the License.
# ==============================================================================
"""Neural network ops for LabeledTensors."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib import nn as contrib_nn
from tensorflow.contrib.labeled_tensor.python.ops import core
from tensorflow.python.ops import nn
relu = core.define_unary_op('relu', nn.relu)
relu6 = core.define_unary_op('relu6', nn.relu6)
crelu = core.define_unary_op('crelu', nn.crelu)
elu = core.define_unary_op('elu', nn.elu)
softplus = core.define_unary_op('softplus', nn.softplus)
l2_loss = core.define_unary_op('l2_loss', nn.l2_loss)
sigmoid_cross_entropy_with_logits = core.define_binary_op(
'sigmoid_cross_entropy_with_logits',
contrib_nn.deprecated_flipped_sigmoid_cross_entropy_with_logits)
softmax = core.define_unary_op('softmax', nn.softmax)
log_softmax = core.define_unary_op('log_softmax', nn.log_softmax)
softmax_cross_entropy_with_logits = core.define_binary_op(
'softmax_cross_entropy_with_logits',
contrib_nn.deprecated_flipped_softmax_cross_entropy_with_logits)
sparse_softmax_cross_entropy_with_logits = core.define_binary_op(
'sparse_softmax_cross_entropy_with_logits',
contrib_nn.deprecated_flipped_sparse_softmax_cross_entropy_with_logits)
# 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.
# ==============================================================================
"""Neural network ops for LabeledTensors."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.labeled_tensor.python.ops import core
from tensorflow.python.ops import nn
relu = core.define_unary_op('relu', nn.relu)
relu6 = core.define_unary_op('relu6', nn.relu6)
crelu = core.define_unary_op('crelu', nn.crelu)
elu = core.define_unary_op('elu', nn.elu)
softplus = core.define_unary_op('softplus', nn.softplus)
l2_loss = core.define_unary_op('l2_loss', nn.l2_loss)
sigmoid_cross_entropy_with_logits = core.define_binary_op(
'sigmoid_cross_entropy_with_logits', nn.sigmoid_cross_entropy_with_logits)
softmax = core.define_unary_op('softmax', nn.softmax)
log_softmax = core.define_unary_op('log_softmax', nn.log_softmax)
softmax_cross_entropy_with_logits = core.define_binary_op(
'softmax_cross_entropy_with_logits', nn.softmax_cross_entropy_with_logits)
sparse_softmax_cross_entropy_with_logits = core.define_binary_op(
'sparse_softmax_cross_entropy_with_logits',
nn.sparse_softmax_cross_entropy_with_logits)
