# 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)