/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_eager_test.py | 75 input_b = keras.layers.Input(shape=(3,), name='input_b') 81 [input_a, dense], [input_b, dense, dropout]) 96 input_b = 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 | 159 input_b = keras.layers.Input(shape=(3,), name='input_2') 163 branch_b = [input_b, dense, dropout]
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/external/tensorflow/tensorflow/python/keras/premade/ |
D | linear_test.py | 58 input_b = 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) 66 input_b = 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) 77 input_b = 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) 85 input_b = input_layer.Input(shape=(1,), name='b') [all …]
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D | wide_deep_test.py | 144 input_b = input_layer.Input(shape=(1,), name='b') 145 output_b = core.Dense(units=1)(input_b) 147 inputs=[linear_input, dnn_input, input_b],
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/external/vixl/examples/aarch64/ |
D | simulated-runtime-calls.cc | 109 int32_t input_b = 2; in main() local 111 simulator.WriteWRegister(1, input_b); in main()
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/external/tensorflow/tensorflow/compiler/jit/ |
D | introduce_floating_point_jitter_pass_test.cc | 41 Output input_b = ops::Placeholder(root.WithOpName("input_b"), DT_FLOAT); in TEST() local 44 Output sigmoid_b = ops::Sigmoid(root.WithOpName("sigmoid_b"), input_b); in TEST() 83 Output input_b = ops::Placeholder(root.WithOpName("input_b"), DT_FLOAT); in TEST() local 86 Output sigmoid_b = ops::Sigmoid(root.WithOpName("sigmoid_b"), input_b); in TEST()
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D | partially_decluster_pass_test.cc | 326 Output input_b = ops::Placeholder(s.WithOpName("shape_b"), DT_FLOAT, in TEST() local 328 Output mul = ops::Mul(s.WithOpName("mul"), input_b, input_b); in TEST()
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/external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
D | resolve_constant_binary.cc | 45 const std::vector<int>& input_b, in PairwiseVectorSelect() argument 48 DCHECK_EQ(input_a.size(), input_b.size()); in PairwiseVectorSelect() 56 (*output_b)[i] = input_b[i]; in PairwiseVectorSelect() 58 (*output_a)[i] = input_b[i]; in PairwiseVectorSelect()
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/external/tensorflow/tensorflow/c/experimental/saved_model/internal/ |
D | saved_model_api_test.cc | 119 TFE_TensorHandle* input_b = TestScalarTensorHandle(ctx, 1.0f); in TEST_P() local 121 compute_fn_inputs.push_back(input_b); in TEST_P() 146 TFE_DeleteTensorHandle(input_b); in TEST_P() 258 TFE_TensorHandle* input_b = TestScalarTensorHandle(ctx, 1.0f); in TEST_P() local 260 compute_fn_inputs.push_back(input_b); in TEST_P() 286 TFE_DeleteTensorHandle(input_b); in TEST_P()
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/external/tensorflow/tensorflow/python/keras/ |
D | models_test.py | 171 input_b = keras.Input(shape=(4,)) 178 x_b = dense_1(input_b) 181 model = keras.models.Model([input_a, input_b], outputs) 195 input_b = keras.Input(shape=(4,), name='b') 197 model, input_tensors=[input_a, input_b]) 211 input_b = keras.backend.variable(val_b) 212 new_model = clone_fn(model, input_tensors=[input_a, input_b])
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/external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
D | TensorListConcatLists.pbtxt | 8 name: "input_b"
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/external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
D | TensorListConcatLists.pbtxt | 8 name: "input_b"
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/external/tensorflow/tensorflow/python/keras/utils/ |
D | multi_gpu_utils_test.py | 100 input_b = keras.Input((input_dim_b,)) 102 b = keras.layers.Dense(hidden_dim)(input_b) 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 | 56 const string& input_b);
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D | auto_parallel.cc | 53 const string& input_b) { in AddNodeDiv() argument 58 node->add_input(input_b); in AddNodeDiv()
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/external/tensorflow/tensorflow/python/kernel_tests/ |
D | fractional_avg_pool_op_test.py | 307 input_b = np.zeros([4, 60, 60, 3]) 308 actual, row_seq, col_seq = sess.run([p, r, c], {input_holder: input_b}) 310 input_b, row_seq, col_seq, overlapping)
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D | fractional_max_pool_op_test.py | 304 input_b = np.zeros([4, 45, 45, 3]) 305 actual, row_seq, col_seq = sess.run([p, r, c], {input_holder: input_b}) 307 input_b, row_seq, col_seq, overlapping)
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/external/tensorflow/tensorflow/python/tpu/ |
D | feature_column_test.py | 254 input_b = np.array([ 258 input_features = {'aaa': input_a, 'bbb': input_b}
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D | feature_column_v2_test.py | 366 input_b = 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 | 294 input_b = array_ops.sparse_placeholder(dtypes.float32, shape=(2, 2)) 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 | 945 input_b = 10 950 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)), 993 input_b = 10 999 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)) 1805 input_b = input_shape[-1] 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 | 119 input_b = keras.layers.Input(shape=(input_dim,), name='input_b') 125 branch_b = [input_b, dense, dense2, dropout]
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/external/tensorflow/tensorflow/python/keras/distribute/ |
D | distribute_strategy_test.py | 114 input_b = keras.layers.Input(shape=(16,), name='input_b') 116 merged = keras.layers.concatenate([input_a, input_b], name='merge') 120 inputs=[input_a, input_b], outputs=[output_c, output_d]) 1515 input_b = keras.layers.Input(shape=(32,), name='a_input_sorted_first') 1517 intermediate_b = keras.layers.Dense(10)(input_b) 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() 1550 'a_input_sorted_first': input_b,
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/external/tensorflow/tensorflow/core/ops/ |
D | list_ops.cc | 597 auto input_b = c->input(1); in __anonabedecb61402() local 598 TF_RETURN_IF_ERROR(c->Merge(input_a, input_b, &input_a)); in __anonabedecb61402()
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/external/rust/crates/rusqlite/src/ |
D | session.rs | 233 input_b: &mut dyn Read, in concat_strm() 237 let input_b_ref = &input_b; in concat_strm()
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