/external/tensorflow/tensorflow/contrib/lite/models/smartreply/ |
H A D | predictor_test.cc | 67 std::vector<PredictorResponse> predictions; local 69 GetSegmentPredictions({"Welcome"}, *model_, /*config=*/{{}}, &predictions); 70 EXPECT_GT(predictions.size(), 0); 73 for (const auto &item : predictions) { 81 &predictions, 86 std::vector<PredictorResponse> predictions; local 89 &predictions); 90 EXPECT_GT(predictions.size(), 0); 93 for (const auto &item : predictions) { 100 EXPECT_THAT(&predictions, IncludeAnyResponesI 105 std::vector<PredictorResponse> predictions; local 133 std::vector<PredictorResponse> predictions; local [all...] |
/external/tensorflow/tensorflow/core/kernels/ |
H A D | in_topk_op.cc | 56 errors::InvalidArgument("predictions must be 2-dimensional")); 60 errors::InvalidArgument("First dimension of predictions ", 64 const auto& predictions = predictions_in.matrix<T>(); variable 74 const auto num_classes = predictions.dimension(1); 79 T target_prediction = predictions(b, target); 84 T pred = predictions(b, i); 103 .HostMemory("predictions") 110 .HostMemory("predictions") 118 .HostMemory("predictions") 126 .HostMemory("predictions") [all...] |
/external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/ |
H A D | sdca_ops.py | 66 predictions = lr.predictions(examples) 235 """Returns predictions of the form w*x.""" 259 def predictions(self, examples): member in class:SdcaModel 260 """Add operations to compute predictions by the model. 263 Otherwise, (raw) linear predictions (w*x) are returned. 266 examples: Examples to compute predictions on. 269 An Operation that computes the predictions for examples. 280 # Convert logits to probability for logistic loss predictions. 449 predictions [all...] |
/external/tensorflow/tensorflow/python/feature_column/ |
H A D | feature_column_test.py | 332 predictions = fc.linear_model(features, [price]) 338 self.assertAllClose([[0.], [0.]], predictions.eval()) 340 self.assertAllClose([[10.], [50.]], predictions.eval()) 516 predictions = fc.linear_model(features, [bucketized_price]) 524 self.assertAllClose([[0.], [0.], [0.], [0.]], predictions.eval()) 531 self.assertAllClose([[10.], [20.], [40.], [50.]], predictions.eval()) 533 self.assertAllClose([[11.], [21.], [41.], [51.]], predictions.eval()) 541 predictions = fc.linear_model(features, [bucketized_price]) 550 self.assertAllClose([[0.], [0.]], predictions.eval()) 560 self.assertAllClose([[80.], [140.]], predictions 1213 predictions = fc.linear_model(features, [dense_and_sparse_column]) variable in class:LinearModelTest.test_dense_and_sparse_column._DenseAndSparseColumn [all...] |
/external/robolectric/v3/runtime/ |
H A D | android-all-4.1.2_r1-robolectric-0.jar | META-INF/ META-INF/MANIFEST.MF android/ android/accessibilityservice/ android/accessibilityservice/AccessibilityService$1.class ... |
H A D | android-all-4.2.2_r1.2-robolectric-0.jar | META-INF/ META-INF/MANIFEST.MF android/ android/accessibilityservice/ android/accessibilityservice/AccessibilityService$1.class ... |
H A D | android-all-4.3_r2-robolectric-0.jar | META-INF/ META-INF/MANIFEST.MF android/ android/accessibilityservice/ android/accessibilityservice/AccessibilityService$1.class ... |
H A D | android-all-4.4_r1-robolectric-1.jar | META-INF/ META-INF/MANIFEST.MF com/ com/google/ com/google/android/ com/google/android/collect/ ... |
H A D | android-all-5.0.0_r2-robolectric-1.jar | META-INF/ META-INF/MANIFEST.MF com/ com/google/ com/google/android/ com/google/android/collect/ ... |
H A D | android-all-5.1.1_r9-robolectric-1.jar | META-INF/ META-INF/MANIFEST.MF com/ com/google/ com/google/android/ com/google/android/collect/ ... |