/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_eager_test.py | 74 input_a = keras.layers.Input(shape=(3,), name='input_a') 81 [input_a, dense], [input_b, dense, dropout]) 95 input_a = array_ops.zeros(shape=(10, 3)) 101 [input_a, input_b], [target_a, target_b], 107 [input_a, input_b], [target_a, target_b], 113 model.fit([input_a, input_b], [target_a, target_b], 115 validation_data=([input_a, input_b], [target_a, target_b])) 116 model.train_on_batch([input_a, input_b], [target_a, target_b]) 117 model.predict([input_a, input_b], batch_size=5) 118 model.evaluate([input_a, input_b], [target_a, target_b], [all …]
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D | training_dataset_test.py | 158 input_a = keras.layers.Input(shape=(3,), name='input_1') 162 branch_a = [input_a, dense]
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/external/tensorflow/tensorflow/python/keras/premade/ |
D | linear_test.py | 57 input_a = np.random.uniform(low=-5, high=5, size=(64, 1)) 59 output = .3 * input_a + .2 * input_b 61 model.fit([input_a, input_b], output, epochs=5) 65 input_a = np.random.uniform(low=-5, high=5, size=(64, 1)) 67 output = .3 * input_a + .2 * input_b 72 model.fit({'c': input_a, 'b': input_b}, output, epochs=5) 76 input_a = np.random.uniform(low=-5, high=5, size=(64, 1)) 78 output = .3 * input_a + .2 * input_b 80 model.fit({'a': input_a, 'b': input_b}, output, epochs=5) 83 input_a = input_layer.Input(shape=(1,), name='a') [all …]
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/external/tensorflow/tensorflow/python/keras/ |
D | models_test.py | 134 input_a = keras.Input(shape=(4,)) 135 new_model = clone_fn(model, input_tensors=input_a) 146 input_a = keras.backend.variable(val_a) 147 new_model = clone_fn(model, input_tensors=input_a) 170 input_a = keras.Input(shape=(4,)) 175 x_a = dense_1(input_a) 181 model = keras.models.Model([input_a, input_b], outputs) 194 input_a = keras.Input(shape=(4,), name='a') 197 model, input_tensors=[input_a, input_b]) 210 input_a = keras.backend.variable(val_a) [all …]
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/external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
D | resolve_constant_binary.cc | 44 const std::vector<int>& input_a, in PairwiseVectorSelect() argument 48 DCHECK_EQ(input_a.size(), input_b.size()); in PairwiseVectorSelect() 50 DCHECK_EQ(input_a.size(), output_a->size()); in PairwiseVectorSelect() 51 DCHECK_EQ(selector.size(), input_a.size()); in PairwiseVectorSelect() 52 const int size = input_a.size(); in PairwiseVectorSelect() 55 (*output_a)[i] = input_a[i]; in PairwiseVectorSelect() 59 (*output_b)[i] = input_a[i]; in PairwiseVectorSelect()
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/external/vixl/examples/aarch64/ |
D | simulated-runtime-calls.cc | 108 int32_t input_a = 1; in main() local 110 simulator.WriteWRegister(0, input_a); in main()
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/external/tensorflow/tensorflow/compiler/jit/ |
D | introduce_floating_point_jitter_pass_test.cc | 40 Output input_a = ops::Placeholder(root.WithOpName("input_a"), DT_FLOAT); in TEST() local 43 Output sigmoid_a = ops::Sigmoid(root.WithOpName("sigmoid_a"), input_a); in TEST() 82 Output input_a = ops::Placeholder(root.WithOpName("input_a"), DT_FLOAT); in TEST() local 85 Output sigmoid_a = ops::Sigmoid(root.WithOpName("sigmoid_a"), input_a); in TEST()
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D | partially_decluster_pass_test.cc | 324 Output input_a = ops::Placeholder(s.WithOpName("input_a"), DT_INT32, in TEST() local 331 Output shape = ops::Add(s.WithOpName("shape"), shape_of_mul, input_a); in TEST()
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/external/tensorflow/tensorflow/c/experimental/saved_model/internal/ |
D | saved_model_api_test.cc | 118 TFE_TensorHandle* input_a = TestScalarTensorHandle(ctx, 2.0f); in TEST_P() local 120 compute_fn_inputs.push_back(input_a); in TEST_P() 145 TFE_DeleteTensorHandle(input_a); in TEST_P() 257 TFE_TensorHandle* input_a = TestScalarTensorHandle(ctx, 2.0f); in TEST_P() local 259 compute_fn_inputs.push_back(input_a); in TEST_P() 285 TFE_DeleteTensorHandle(input_a); in TEST_P()
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/external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
D | TensorListConcatLists.pbtxt | 4 name: "input_a"
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/external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
D | TensorListConcatLists.pbtxt | 4 name: "input_a"
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/external/tensorflow/tensorflow/core/kernels/ |
D | remote_fused_graph_execute_op_test.cc | 303 Tensor input_a(DT_FLOAT, {}); in TEST() local 304 input_a.flat<float>().data()[0] = NODE_A_VAL2; in TEST() 306 inputs.emplace_back(NAME_A, input_a); in TEST()
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/external/tensorflow/tensorflow/python/keras/utils/ |
D | generic_utils_test.py | 376 input_a = list([1, 2, 3]) 378 keras.utils.generic_utils.slice_arrays(input_a, start=0), 381 keras.utils.generic_utils.slice_arrays(input_a, stop=3), 384 keras.utils.generic_utils.slice_arrays(input_a, start=0, stop=1),
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D | multi_gpu_utils_test.py | 99 input_a = keras.Input((input_dim_a,)) 101 a = keras.layers.Dense(hidden_dim)(input_a) 106 model = keras.models.Model([input_a, input_b], [output_a, output_b])
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/external/tensorflow/tensorflow/core/grappler/optimizers/ |
D | auto_parallel.h | 55 NodeDef* AddNodeDiv(const string& name, const string& input_a,
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D | auto_parallel.cc | 52 NodeDef* AutoParallel::AddNodeDiv(const string& name, const string& input_a, in AddNodeDiv() argument 57 node->add_input(input_a); in AddNodeDiv()
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/external/tensorflow/tensorflow/core/ops/ |
D | list_ops.cc | 596 auto input_a = c->input(0); in __anonabedecb61402() local 598 TF_RETURN_IF_ERROR(c->Merge(input_a, input_b, &input_a)); in __anonabedecb61402() 599 c->set_output(0, input_a); in __anonabedecb61402()
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | fractional_avg_pool_op_test.py | 301 input_a = np.zeros([3, 32, 32, 3]) 302 actual, row_seq, col_seq = sess.run([p, r, c], {input_holder: input_a}) 304 input_a, row_seq, col_seq, overlapping)
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D | fractional_max_pool_op_test.py | 298 input_a = np.zeros([3, 32, 32, 3]) 299 actual, row_seq, col_seq = sess.run([p, r, c], {input_holder: input_a}) 301 input_a, row_seq, col_seq, overlapping)
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/external/tensorflow/tensorflow/python/tpu/ |
D | feature_column_test.py | 250 input_a = np.array([ 258 input_features = {'aaa': input_a, 'bbb': input_b}
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D | feature_column_v2_test.py | 360 input_a = sparse_tensor.SparseTensorValue( 373 input_features = {'aaa': input_a, 'bbb': input_b}
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/external/tensorflow/tensorflow/python/ops/ |
D | sparse_ops_test.py | 293 input_a = array_ops.sparse_placeholder(dtypes.float32, shape=(2, 1)) 296 result = sparse_ops.sparse_concat_v2(axis=1, sp_inputs=[input_a, input_b])
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | recurrent_test.py | 944 input_a = 5 950 x = keras.Input((None, input_a, input_b)) 967 np.zeros((batch, time_step, input_a, input_b)), 985 np.zeros((batch, time_step, input_a, input_b)), 992 input_a = 5 999 x = keras.Input((None, input_a, input_b)) 1010 np.zeros((batch, time_step, input_a, input_b)), 1019 x = keras.Input((None, input_a, input_b)) 1804 input_a = input_shape[-2] 1807 shape=(input_a, input_b, self.unit_a, self.unit_b),
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/external/tensorflow/tensorflow/python/keras/saving/ |
D | saving_utils_test.py | 118 input_a = keras.layers.Input(shape=(input_dim,), name='input_a') 124 branch_a = [input_a, dense]
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/external/tensorflow/tensorflow/python/keras/distribute/ |
D | distribute_strategy_test.py | 113 input_a = keras.layers.Input(shape=(16,), name='input_a') 116 merged = keras.layers.concatenate([input_a, input_b], name='merge') 120 inputs=[input_a, input_b], outputs=[output_c, output_d]) 1514 input_a = keras.layers.Input(shape=(16,), name='z_input_sorted_last') 1516 intermediate_a = keras.layers.Dense(10)(input_a) 1520 return input_a, input_b, output 1532 input_a, input_b, output = _create_model_input_output_tensors() 1540 inputs=[input_a, input_b], outputs=output) 1546 input_a, input_b, output = _create_model_input_output_tensors() 1549 'z_input_sorted_last': input_a,
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