| /external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
| D | optimizer_v2_test.py | 75 loss = lambda: 5 * var0 + 3 * var1 # pylint: disable=cell-var-from-loop function
99 def loss(): function
145 loss = lambda: 5 * var0 + 3 * var1 # pylint: disable=cell-var-from-loop function
172 loss = lambda: 5 * var0 # pylint: disable=cell-var-from-loop function
187 loss = lambda: constant_op.constant(5.0) function
217 loss = lambda: 5 * var0 + 3 * var1 # pylint: disable=cell-var-from-loop function
277 loss = lambda: 5 * var0 + 3 * var1 function
311 loss = lambda: 3 * var0 function
340 loss = lambda: 3 * var0 function
354 loss = lambda: 3 * var function
[all …]
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| D | gradient_descent_test.py | 141 loss = lambda: math_ops.matmul(var0, x) + var1 # pylint: disable=cell-var-from-loop function
159 def loss(): function
199 loss = lambda: vars_[0] + vars_[1] # pylint: disable=cell-var-from-loop function
375 loss = lambda: 5 * var0 * var0 + 3 * var1 # pylint: disable=cell-var-from-loop function
437 def loss(): function
456 def loss(): function
673 loss = lambda: 3 * var0 function
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| D | rmsprop_test.py | 330 def loss(): function
356 def loss(): function
562 def loss(): function
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| D | adadelta_test.py | 161 def loss(): function
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| D | optimizer_v2.py | 289 def minimize(self, loss, var_list, grad_loss=None, name=None): argument
320 def _compute_gradients(self, loss, var_list, grad_loss=None): argument
373 def get_gradients(self, loss, params): argument
501 def get_updates(self, loss, params): argument
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| /external/tensorflow/tensorflow/python/training/ |
| D | optimizer_test.py | 46 def loss(): function
121 def loss(): function
142 def loss(): function
159 def loss(): function
189 def loss(): function
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| D | momentum_test.py | 248 def loss(): function
276 def loss(): function
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| /external/tensorflow/tensorflow/python/training/experimental/ |
| D | loss_scale_optimizer_test.py | 60 def get_gradients(opt, loss, params): argument
80 loss = lambda: grad_check_fn(var) / strategy.num_replicas_in_sync function
167 loss = lambda: var * 2.0 / strategy.num_replicas_in_sync function
178 loss = lambda: var * float('NaN') function
201 loss = lambda: var / strategy.num_replicas_in_sync function
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| D | loss_scale_optimizer.py | 81 loss, argument
128 def _scale_loss(self, loss): argument
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| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | training_gpu_test.py | 47 … loss = lambda y_true, y_pred: K.sparse_categorical_crossentropy( # pylint: disable=g-long-lambda function
52 loss = lambda y_true, y_pred: K.categorical_crossentropy( # pylint: disable=g-long-lambda function
57 …loss = lambda y_true, y_pred: K.binary_crossentropy(y_true, y_pred) # pylint: disable=unnecessary… function
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| /external/tensorflow/tensorflow/python/keras/mixed_precision/experimental/ |
| D | loss_scale_optimizer_test.py | 80 loss = lambda: grad_check_fn(var) / strategy.num_replicas_in_sync function
187 loss = lambda: var * 2.0 / strategy.num_replicas_in_sync function
198 loss = lambda: var * float('NaN') function
219 def loss(): function
246 loss = lambda: var / strategy.num_replicas_in_sync function
324 loss = lambda: var * 2.0 function
382 loss = lambda: var * 2.0 function
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| D | loss_scale_optimizer.py | 152 def get_scaled_loss(self, loss): argument
207 def _compute_gradients(self, loss, var_list, grad_loss=None): argument
216 def get_gradients(self, loss, params): argument
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| /external/tensorflow/tensorflow/python/keras/ |
| D | optimizers.py | 74 def get_updates(self, loss, params): argument
77 def get_gradients(self, loss, params): argument
182 def get_updates(self, loss, params): argument
249 def get_updates(self, loss, params): argument
318 def get_updates(self, loss, params): argument
393 def get_updates(self, loss, params): argument
475 def get_updates(self, loss, params): argument
566 def get_updates(self, loss, params): argument
652 def get_updates(self, loss, params): argument
727 def get_grads(self, loss, params): argument
[all …]
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| /external/tensorflow/tensorflow/examples/tutorials/mnist/ |
| D | mnist.py | 86 def loss(logits, labels): function
101 def training(loss, learning_rate): argument
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| /external/tensorflow/tensorflow/python/saved_model/ |
| D | signature_def_utils_impl.py | 213 inputs, loss, predictions=None, metrics=None): argument
220 inputs, loss, predictions=None, metrics=None): argument
227 method_name, inputs, loss=None, predictions=None, argument
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| /external/tensorflow/tensorflow/python/framework/ |
| D | auto_control_deps_test.py | 228 def loss(v): function
258 def loss(v): function
274 def loss(): function
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| /external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
| D | softmax_op.cc | 134 auto loss = XlaHelpers::ConvertElementType(sum, type); in CrossEntropyWithLogits() local
157 xla::XlaOp loss, backprop; in Compile() local
224 xla::XlaOp loss, backprop; in Compile() local
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| /external/tensorflow/tensorflow/python/tpu/ |
| D | tpu_embedding_gradient.py | 32 def get_gradients_through_compute_gradients(optimizer, loss, activations): argument
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| D | tpu_optimizer.py | 111 def compute_gradients(self, loss, var_list=None, **kwargs): argument
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| /external/tensorflow/tensorflow/python/debug/examples/v2/ |
| D | debug_mnist_v2.py | 202 def loss(logits, labels): function
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| /external/tensorflow/tensorflow/python/keras/premade/ |
| D | wide_deep.py | 116 def _backwards(self, tape, loss): argument
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| /external/tensorflow/tensorflow/examples/tf2_showcase/ |
| D | mnist.py | 125 def loss(logits, labels): function
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| /external/tensorflow/tensorflow/python/ops/losses/ |
| D | util.py | 179 def add_loss(loss, loss_collection=ops.GraphKeys.LOSSES): argument
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| /external/tensorflow/tensorflow/python/saved_model/model_utils/ |
| D | export_output.py | 250 def __init__(self, loss=None, predictions=None, metrics=None): argument
364 def loss(self): member in _SupervisedOutput
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| D | export_utils.py | 251 mode, serving_export_outputs=None, predictions=None, loss=None, argument
|