/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 | 245 def loss(): function 274 def loss(): function
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/external/tensorflow/tensorflow/python/keras/saving/utils_v1/ |
D | signature_def_utils.py | 24 inputs, loss, predictions=None, metrics=None): argument 31 inputs, loss, predictions=None, metrics=None): argument 38 method_name, inputs, loss=None, predictions=None, argument
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D | export_output.py | 246 def __init__(self, loss=None, predictions=None, metrics=None): argument 360 def loss(self): member in _SupervisedOutput
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/external/tensorflow/tensorflow/python/training/experimental/ |
D | loss_scale_optimizer_test.py | 58 def get_gradients(opt, loss, params): argument 122 loss = lambda: grad_check_fn(var) / strategy.num_replicas_in_sync function 209 loss = lambda: var * 2.0 / strategy.num_replicas_in_sync function 220 loss = lambda: var * float('NaN') function 243 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/ |
D | optimizer_v1.py | 77 def get_updates(self, loss, params): argument 80 def get_gradients(self, loss, params): argument 191 def get_updates(self, loss, params): argument 265 def get_updates(self, loss, params): argument 340 def get_updates(self, loss, params): argument 423 def get_updates(self, loss, params): argument 521 def get_updates(self, loss, params): argument 617 def get_updates(self, loss, params): argument 708 def get_updates(self, loss, params): argument 782 def minimize(self, loss, var_list, grad_loss=None, tape=None): argument [all …]
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/external/libopus/dnn/training_tf2/ |
D | lossfuncs.py | 12 def loss(y_true,y_pred): function 26 def loss(y_true,y_pred): function 93 def loss(y_true,y_pred): function
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/external/tensorflow/tensorflow/python/saved_model/ |
D | signature_def_utils_impl.py | 217 inputs, loss, predictions=None, metrics=None): argument 224 inputs, loss, predictions=None, metrics=None): argument 231 method_name, inputs, loss=None, predictions=None, argument
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
D | softmax_op.cc | 90 auto loss = XlaHelpers::ConvertElementType(sum, type); in CrossEntropyWithLogits() local 113 xla::XlaOp loss, backprop; in Compile() local 180 xla::XlaOp loss, backprop; in Compile() local
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/external/libopus/dnn/torch/lossgen/ |
D | train_lossgen.py | 75 loss = loss.to(device) variable 83 … loss = torch.mean(-target*torch.log(out+epsilon) - (1-target)*torch.log(1-out+epsilon)) variable
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D | lossgen.py | 16 def forward(self, loss, perc, states=None): argument
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D | test_lossgen.py | 38 loss = one if np.random.rand() < prob else zero variable
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/external/pytorch/test/cpp/jit/ |
D | test_lite_trainer.cpp | 55 auto loss = ::torch::l1_loss(output, targets); in TEST() local 73 auto loss = ::torch::l1_loss(output, targets); in TEST() local 285 auto loss = ::torch::l1_loss(output, targets); in TEST() local 304 auto loss = ::torch::l1_loss(output, targets); in TEST() local
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/external/pytorch/aten/src/ATen/native/ |
D | Loss.cpp | 115 Tensor loss; in TORCH_IMPL_FUNC() local 131 Tensor loss; in TORCH_IMPL_FUNC() local 258 Tensor loss = at::empty_like(input); in binary_cross_entropy_cpu() local 263 …, const Tensor& target, const std::optional<Tensor>& weight_opt, int64_t reduction, Tensor& loss) { in binary_cross_entropy_out_cpu() 376 Tensor loss = (1 - target).mul_(input).sub_(log_sigmoid_input); in binary_cross_entropy_with_logits() local 387 Tensor loss; in poisson_nll_loss() local
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/external/libopus/dnn/torch/neural-pitch/ |
D | training.py | 109 …loss = loss_custom(logits = pi,labels = yi,confidence = ci,choice = args.choice_cel,nmax = args.ou… variable 130 …loss = loss_custom(logits = pi,labels = yi,confidence = ci,choice = args.choice_cel,nmax = args.ou… variable
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/external/tensorflow/tensorflow/python/tpu/ |
D | tpu_embedding_gradient.py | 28 def get_gradients_through_compute_gradients(optimizer, loss, activations): argument
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/external/tensorflow/tensorflow/python/keras/optimizer_v2/ |
D | optimizer_v2.py | 461 def _transform_loss(self, loss): argument 465 def _get_gradients(self, tape, loss, var_list, grad_loss=None): argument 502 def minimize(self, loss, var_list, grad_loss=None, name=None, tape=None): argument 537 def _compute_gradients(self, loss, var_list, grad_loss=None, tape=None): argument 742 def get_gradients(self, loss, params): argument 771 def get_updates(self, loss, params): argument
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/external/pytorch/torch/csrc/api/include/torch/nn/modules/ |
D | adaptive.h | 23 double loss; member
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/external/executorch/examples/models/phi-3-mini-lora/ |
D | export_model.py | 26 def __init__(self, model, loss): argument
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/external/tensorflow/tensorflow/python/framework/experimental/ |
D | nn_ops.cc | 49 AbstractTensorHandle* loss; in PYBIND11_MODULE() local
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/external/pytorch/scripts/release_notes/ |
D | classifier.py | 266 def train_step(batch, model, optimizer, loss): argument 277 def eval_step(batch, model, loss): argument
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/external/pytorch/functorch/examples/lennard_jones/ |
D | lennard_jones.py | 71 loss = loss_fn(training_energies, training_forces, energies, forces) variable
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/external/tensorflow/tensorflow/python/debug/examples/v2/ |
D | debug_mnist_v2.py | 200 def loss(probs, labels): function
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/external/tensorflow/tensorflow/python/saved_model/model_utils/ |
D | export_output.py | 267 def __init__(self, loss=None, predictions=None, metrics=None): argument 381 def loss(self): member in _SupervisedOutput
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