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/external/tensorflow/tensorflow/compiler/jit/tests/
Dkeras_imagenet_main_graph_mode.pbtxt4464 name: "training/SGD/iter"
4489 s: "training/SGD/iter"
4494 name: "training/SGD/bn2a_branch1/beta/momentum"
4522 s: "training/SGD/bn2a_branch1/beta/momentum"
4527 name: "training/SGD/bn2a_branch1/gamma/momentum"
4555 s: "training/SGD/bn2a_branch1/gamma/momentum"
4560 name: "training/SGD/bn2a_branch2a/beta/momentum"
4588 s: "training/SGD/bn2a_branch2a/beta/momentum"
4593 name: "training/SGD/bn2a_branch2a/gamma/momentum"
4621 s: "training/SGD/bn2a_branch2a/gamma/momentum"
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Dkeras_imagenet_main.pbtxt6751 name: "training/LossScaleOptimizer/truediv"
6798 …name: "training/LossScaleOptimizer/gradients/loss_1/res4c_branch2c/kernel/Regularizer/Square_grad/…
6986 …name: "training/LossScaleOptimizer/gradients/loss_1/res4c_branch2b/kernel/Regularizer/Square_grad/…
7140 …name: "training/LossScaleOptimizer/gradients/loss_1/res4c_branch2a/kernel/Regularizer/Square_grad/…
7340 …name: "training/LossScaleOptimizer/gradients/loss_1/res2a_branch2c/kernel/Regularizer/Square_grad/…
7845 …name: "training/LossScaleOptimizer/gradients/loss_1/res4a_branch1/kernel/Regularizer/Square_grad/M…
8165 …name: "training/LossScaleOptimizer/gradients/loss_1/res4a_branch2a/kernel/Regularizer/Square_grad/…
8356 …name: "training/LossScaleOptimizer/gradients/loss_1/res3d_branch2c/kernel/Regularizer/Square_grad/…
8510 …name: "training/LossScaleOptimizer/gradients/loss_1/res3d_branch2b/kernel/Regularizer/Square_grad/…
8664 …name: "training/LossScaleOptimizer/gradients/loss_1/res3d_branch2a/kernel/Regularizer/Square_grad/…
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/external/tensorflow/tensorflow/python/eager/benchmarks/resnet50/
Dresnet50.py69 def call(self, input_tensor, training=False): argument
71 x = self.bn2a(x, training=training)
75 x = self.bn2b(x, training=training)
79 x = self.bn2c(x, training=training)
144 def call(self, input_tensor, training=False): argument
146 x = self.bn2a(x, training=training)
150 x = self.bn2b(x, training=training)
154 x = self.bn2c(x, training=training)
157 shortcut = self.bn_shortcut(shortcut, training=training)
293 def call(self, inputs, training=True, intermediates_dict=None): argument
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/external/swiftshader/tests/regres/testlists/vk-default/
Dcooperative-vector.txt31594 dEQP-VK.cooperative_vector.training.outerproduct.float16.buffer.10x1.resultclustered.cfdivergent.tr…
31595 dEQP-VK.cooperative_vector.training.outerproduct.float16.buffer.10x1.resultclustered.cfdivergent.tr…
31596 dEQP-VK.cooperative_vector.training.outerproduct.float16.buffer.10x1.resultclustered.cfdivergent.tr…
31597 dEQP-VK.cooperative_vector.training.outerproduct.float16.buffer.10x1.resultclustered.cfdivergent.tr…
31598 dEQP-VK.cooperative_vector.training.outerproduct.float16.buffer.10x1.resultclustered.cfdivergent.tr…
31599 dEQP-VK.cooperative_vector.training.outerproduct.float16.buffer.10x1.resultclustered.cfdivergent.tr…
31600 dEQP-VK.cooperative_vector.training.outerproduct.float16.buffer.10x1.resultclustered.cfdivergent.tr…
31601 dEQP-VK.cooperative_vector.training.outerproduct.float16.buffer.10x1.resultclustered.cfdivergent.tr…
31602 dEQP-VK.cooperative_vector.training.outerproduct.float16.buffer.10x1.resultclustered.cfdivergent.tr…
31603 dEQP-VK.cooperative_vector.training.outerproduct.float16.buffer.10x1.resultclustered.cfdivergent.tr…
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/external/tensorflow/tensorflow/python/keras/saving/saved_model/
Dutils.py34 "tensorflow.python.keras.engine.training")
44 call_fn: tf.function that takes layer inputs (and possibly a training arg),
46 default_training_value: Default value of the training kwarg. If `None`, the
98 """Returns whether this layer or any of its children uses the training arg."""
132 """Decorate call and optionally adds training argument.
134 If a layer expects a training argument, this function ensures that 'training'
135 is present in the layer args or kwonly args, with the default training value.
140 expects_training_arg: Whether to include 'training' argument.
141 default_training_value: Default value of the training kwarg to include in
146 function that calls `wrapped_call` and sets the training arg,
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/external/tensorflow/tensorflow/python/training/
Dtraining.py16 """Support for training models.
18 See the [Training](https://tensorflow.org/api_guides/python/train) guide.
26 from tensorflow.python.training.adadelta import AdadeltaOptimizer
27 from tensorflow.python.training.adagrad import AdagradOptimizer
28 from tensorflow.python.training.adagrad_da import AdagradDAOptimizer
29 from tensorflow.python.training.proximal_adagrad import ProximalAdagradOptimizer
30 from tensorflow.python.training.adam import AdamOptimizer
31 from tensorflow.python.training.ftrl import FtrlOptimizer
32 from tensorflow.python.training.experimental.loss_scale_optimizer import MixedPrecisionLossScaleOpt…
33 from tensorflow.python.training.experimental.mixed_precision import enable_mixed_precision_graph_re…
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/external/python/google-api-python-client/docs/dyn/
Ddialogflow_v3.projects.locations.agents.intents.html82 …r to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/cx/d…
85 …r to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/cx/d…
97 …r to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/cx/d…
106 …r to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/cx/d…
113 …or the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., ex…
116 …nt creation. Adding training phrases to fallback intent is useful in the case of requests that are…
124 …Required. The unique identifier of the parameter. This field is used by training phrases to annota…
130 …"trainingPhrases": [ # The collection of training phrases the agent is trained on to ide…
132 … "id": "A String", # Output only. The unique identifier of the training phrase.
133 …training phrase parts. The parts are concatenated in order to form the training phrase. Note: The …
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Ddialogflow_v3beta1.projects.locations.agents.intents.html82 …r to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/cx/d…
85 …r to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/cx/d…
97 …r to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/cx/d…
106 …r to sending it queries. See the [training documentation](https://cloud.google.com/dialogflow/cx/d…
113 …or the Dialogflow API to use to match user input to an intent by adding training phrases (i.e., ex…
116 …nt creation. Adding training phrases to fallback intent is useful in the case of requests that are…
124 …Required. The unique identifier of the parameter. This field is used by training phrases to annota…
130 …"trainingPhrases": [ # The collection of training phrases the agent is trained on to ide…
132 … "id": "A String", # Output only. The unique identifier of the training phrase.
133 …training phrase parts. The parts are concatenated in order to form the training phrase. Note: The …
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Dml_v1.projects.jobs.html75 <h1><a href="ml_v1.html">AI Platform Training & Prediction API</a> . <a href="ml_v1.projects.html">…
85 <p class="firstline">Creates a training or a batch prediction job.</p>
139 <pre>Creates a training or a batch prediction job.
146 { # Represents a training or prediction job.
180 …training job. When using the gcloud command to submit your training job, you can specify the input…
181 …&quot;args&quot;: [ # Optional. Command-line arguments passed to the training application when it …
184 …tform Training to enable [interactive shell access](https://cloud.google.com/ai-platform/training/…
185 …training job, instead of using Google&#x27;s default encryption. If this is set, then all resource…
186 …e customer-managed encryption key used to protect a resource, such as a training job. It has the f…
188 …training.](/ai-platform/training/docs/using-gpus#compute-engine-machine-types-with-gpu) Set `evalu…
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/external/pytorch/torch/distributed/
Dlaunch.py6 training processes on each of the training nodes.
12 The utility can be used for single-node distributed training, in which one or
14 CPU training or GPU training. If the utility is used for GPU training,
16 well-improved single-node training performance. It can also be used in
17 multi-node distributed training, by spawning up multiple processes on each node
18 for well-improved multi-node distributed training performance as well.
23 In both cases of single-node distributed training or multi-node distributed
24 training, this utility will launch the given number of processes per node
25 (``--nproc-per-node``). If used for GPU training, this number needs to be less
32 1. Single-Node multi-process distributed training
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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/java/com/google/cloud/aiplatform/v1/
DInputDataConfigOrBuilder.java214 * The Cloud Storage location where the training data is to be
217 * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
219 * All training input data is written into that directory.
222 * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
225 …* "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AI…
241 * The Cloud Storage location where the training data is to be
244 * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
246 * All training input data is written into that directory.
249 * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
252 …* "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AI…
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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/java/com/google/cloud/aiplatform/v1beta1/
DInputDataConfigOrBuilder.java214 * The Cloud Storage location where the training data is to be
217 * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
219 * All training input data is written into that directory.
222 * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
225 …* "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AI…
241 * The Cloud Storage location where the training data is to be
244 * `dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;timestamp-of-training-call&gt;`
246 * All training input data is written into that directory.
249 * format to support sharded data. e.g.: "gs://.../training-*.jsonl"
252 …* "gcs_destination/dataset-&lt;dataset-id&gt;-&lt;annotation-type&gt;-&lt;time&gt;/training-*.${AI…
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/external/googleapis/google/cloud/aiplatform/v1beta1/
Dtraining_pipeline.proto37 // The TrainingPipeline orchestrates tasks associated with training a Model. It
38 // always executes the training task, and optionally may also
39 // export data from Vertex AI's Dataset which becomes the training input,
54 // Specifies Vertex AI owned input data that may be used for training the
66 // training task which is responsible for producing the model artifact, and
75 // Required. The training task's parameter(s), as specified in the
84 // about the training task. While the pipeline is running this information is
101 // training task either uploads the Model without a need of this information,
102 // or that training task does not support uploading a Model as part of the
167 // Specifies Vertex AI owned input data to be used for training, and
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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/
Dtraining_pipeline.proto37 // The TrainingPipeline orchestrates tasks associated with training a Model. It
38 // always executes the training task, and optionally may also
39 // export data from Vertex AI's Dataset which becomes the training input,
54 // Specifies Vertex AI owned input data that may be used for training the
66 // training task which is responsible for producing the model artifact, and
75 // Required. The training task's parameter(s), as specified in the
84 // about the training task. While the pipeline is running this information is
101 // training task either uploads the Model without a need of this information,
102 // or that training task does not support uploading a Model as part of the
166 // Specifies Vertex AI owned input data to be used for training, and
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/external/googleapis/google/cloud/aiplatform/v1/
Dtraining_pipeline.proto37 // The TrainingPipeline orchestrates tasks associated with training a Model. It
38 // always executes the training task, and optionally may also
39 // export data from Vertex AI's Dataset which becomes the training input,
54 // Specifies Vertex AI owned input data that may be used for training the
66 // training task which is responsible for producing the model artifact, and
75 // Required. The training task's parameter(s), as specified in the
84 // about the training task. While the pipeline is running this information is
101 // training task either uploads the Model without a need of this information,
102 // or that training task does not support uploading a Model as part of the
166 // Specifies Vertex AI owned input data to be used for training, and
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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/
Dtraining_pipeline.proto37 // The TrainingPipeline orchestrates tasks associated with training a Model. It
38 // always executes the training task, and optionally may also
39 // export data from Vertex AI's Dataset which becomes the training input,
54 // Specifies Vertex AI owned input data that may be used for training the
66 // training task which is responsible for producing the model artifact, and
75 // Required. The training task's parameter(s), as specified in the
84 // about the training task. While the pipeline is running this information is
101 // training task either uploads the Model without a need of this information,
102 // or that training task does not support uploading a Model as part of the
167 // Specifies Vertex AI owned input data to be used for training, and
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/external/pytorch/test/
Dtest_modules.py48 def test_forward(self, device, dtype, module_info, training): argument
51 requires_grad=False, training=training)
65 m.train(training)
87 def test_factory_kwargs(self, device, dtype, module_info, training): argument
90 requires_grad=False, training=training)
103 m.train(training)
130 m.train(training)
139 m.train(training)
144 def test_multiple_device_transfer(self, device, dtype, module_info, training): argument
147 … requires_grad=False, training=training)
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/external/pytorch/torch/csrc/api/include/torch/nn/functional/
Ddropout.h14 inline Tensor dropout(Tensor input, double p, bool training, bool inplace) { in dropout() argument
20 return torch::dropout_(input, p, training); in dropout()
22 return torch::dropout(input, p, training); in dropout()
43 std::move(input), options.p(), options.training(), options.inplace());
55 bool training, in _dropoutNd_helper() argument
75 result = torch::feature_dropout_(input, p, training); in _dropoutNd_helper()
77 result = torch::feature_dropout(input, p, training); in _dropoutNd_helper()
90 inline Tensor dropout2d(Tensor input, double p, bool training, bool inplace) { in dropout2d() argument
92 std::move(input), p, training, inplace, "dropout2d"); in dropout2d()
114 std::move(input), options.p(), options.training(), options.inplace());
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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1beta1/src/main/proto/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/
Dautoml_tables.proto40 // Training pipeline will infer the proper transformation based on the
46 // Training pipeline will perform following transformation functions.
59 // If invalid values is allowed, the training pipeline will create a
61 // Otherwise, the training pipeline will discard the input row from
66 // Training pipeline will perform following transformation functions.
72 // * Categories that appear less than 5 times in the training dataset are
79 // Training pipeline will perform following transformation functions.
102 // If invalid values is allowed, the training pipeline will create a
104 // Otherwise, the training pipeline will discard the input row from
109 // Training pipeline will perform following transformation functions.
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/external/googleapis/google/cloud/aiplatform/v1/schema/trainingjob/definition/
Dautoml_tables.proto40 // Training pipeline will infer the proper transformation based on the
46 // Training pipeline will perform following transformation functions.
59 // If invalid values is allowed, the training pipeline will create a
61 // Otherwise, the training pipeline will discard the input row from
66 // Training pipeline will perform following transformation functions.
72 // * Categories that appear less than 5 times in the training dataset are
79 // Training pipeline will perform following transformation functions.
102 // If invalid values is allowed, the training pipeline will create a
104 // Otherwise, the training pipeline will discard the input row from
109 // Training pipeline will perform following transformation functions.
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/external/google-cloud-java/java-aiplatform/proto-google-cloud-aiplatform-v1/src/main/proto/google/cloud/aiplatform/v1/schema/trainingjob/definition/
Dautoml_tables.proto40 // Training pipeline will infer the proper transformation based on the
46 // Training pipeline will perform following transformation functions.
59 // If invalid values is allowed, the training pipeline will create a
61 // Otherwise, the training pipeline will discard the input row from
66 // Training pipeline will perform following transformation functions.
72 // * Categories that appear less than 5 times in the training dataset are
79 // Training pipeline will perform following transformation functions.
102 // If invalid values is allowed, the training pipeline will create a
104 // Otherwise, the training pipeline will discard the input row from
109 // Training pipeline will perform following transformation functions.
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/external/googleapis/google/cloud/aiplatform/v1beta1/schema/trainingjob/definition/
Dautoml_tables.proto40 // Training pipeline will infer the proper transformation based on the
46 // Training pipeline will perform following transformation functions.
59 // If invalid values is allowed, the training pipeline will create a
61 // Otherwise, the training pipeline will discard the input row from
66 // Training pipeline will perform following transformation functions.
72 // * Categories that appear less than 5 times in the training dataset are
79 // Training pipeline will perform following transformation functions.
102 // If invalid values is allowed, the training pipeline will create a
104 // Otherwise, the training pipeline will discard the input row from
109 // Training pipeline will perform following transformation functions.
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/external/pytorch/benchmarks/operator_benchmark/pt/
Dbatchnorm_test.py35 "training": [True, False],
47 training=[True, False],
54 def init(self, M, N, K, device, training, cudnn): argument
63 "training": training,
68 def forward(self, input_one, mean, var, weight, bias, training, cudnn): argument
70 return F.batch_norm(input_one, mean, var, weight, bias, training)
89 "training": [True, False],
100 training=[True, False],
107 def init(self, N, C, device, training, cudnn): argument
114 "training": training,
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/external/tensorflow/tensorflow/python/keras/distribute/
Dworker_training_state.py15 """Training state management."""
37 """Training state management class.
39 This class provides apis for backing up and restoring the training state.
62 # If this is single-worker training, checkpoint_dir are the same for
65 # If this is multi-worker training, and this worker should not
86 """Back up the current state of training into a checkpoint file.
99 """Restore the training state from the backed up checkpoint file.
102 True if the training state is successfully restored. False if the training
123 `CKPT_SAVED_EPOCH_UNUSED_VALUE`, this is under multi-worker training setting
126 unfinished training from certain epoch.
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/external/trusty/arm-trusted-firmware/drivers/st/ddr/phy/firmware/include/
Dmnpmusrammsgblock_lpddr4.h10 /* LPDDR4_1D training firmware message block structure
12 * Please refer to the Training Firmware App Note for futher information about
20 * reserved00[5] = Quick Rd2D during 1D Training
22 * training the phy's per-lane reference voltages.
23 * Training the vrefDACs CSRs will increase the maximum 1D
24 * training time by around half a millisecond, but will
25 * improve 1D training accuracy on systems with
31 * 0x1 = WrDQ1D will conditionally retry training at
33 * maximum 1D training time by up to 4 extra iterations of
44 * 0x0 = otherwise, when not training a TSMC28 phy, leave
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