/external/tensorflow/tensorflow/python/keras/engine/ |
D | training_eager_test.py | 73 input_b = keras.layers.Input(shape=(3,), name='input_b') 79 [input_a, dense], [input_b, dense, dropout]) 94 input_b = array_ops.zeros(shape=(10, 3)) 99 [input_a, input_b], [target_a, target_b], 105 [input_a, input_b], [target_a, target_b], 111 model.fit([input_a, input_b], [target_a, target_b], 113 validation_data=([input_a, input_b], [target_a, target_b])) 114 model.train_on_batch([input_a, input_b], [target_a, target_b]) 115 model.predict([input_a, input_b], batch_size=5) 116 model.evaluate([input_a, input_b], [target_a, target_b], [all …]
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D | topology_test.py | 959 input_b = input_layer_lib.Input(shape=(16,)) 967 c = AddLayer()([a, input_b]) # pylint: disable=not-callable 970 network = network_lib.Network([input_a, input_b], [a, c]) 1031 input_b = input_layer_lib.Input(shape=(4,)) 1032 output_a, output_b = MultiInputOutputLayer()([input_a, input_b]) 1033 model = keras.Model([input_a, input_b], [output_a, output_b])
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D | training_dataset_test.py | 245 input_b = keras.layers.Input(shape=(3,), name='input_2') 249 branch_b = [input_b, dense, dropout]
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/external/tensorflow/tensorflow/compiler/tf2xla/ops/ |
D | xla_ops.cc | 519 shape_inference::ShapeHandle input_b = context->input(1); in __anonc06300730602() local 527 if (context->RankKnown(input_b)) { in __anonc06300730602() 528 rank_b = context->Rank(input_b); in __anonc06300730602() 569 right_map[c] = context->Dim(input_b, right_map.size()); in __anonc06300730602()
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/external/vixl/examples/aarch64/ |
D | simulated-runtime-calls.cc | 106 int32_t input_b = 2; in main() local 108 simulator.WriteWRegister(1, input_b); in main()
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/external/tensorflow/tensorflow/python/keras/ |
D | models_test.py | 163 input_b = keras.Input(shape=(4,)) 170 x_b = dense_1(input_b) 173 model = keras.models.Model([input_a, input_b], outputs) 185 input_b = keras.Input(shape=(4,), name='b') 187 model, input_tensors=[input_a, input_b]) 199 input_b = keras.backend.variable(val_b) 200 new_model = clone_fn(model, input_tensors=[input_a, input_b])
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D | backend_test.py | 81 input_b = np.random.random(input_shape_b) 83 keras.backend.variable(input_b, dtype=dtype), 86 np_output = np_op(input_a.astype(dtype), input_b.astype(dtype),
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/external/libxcam/cl_kernel/ |
D | kernel_defog_dcp.cl | 72 * input_b: B channel image2d_t as read only 84 __read_only image2d_t input_r, __read_only image2d_t input_g, __read_only image2d_t input_b, 100 …in_b[0] = convert_float8(as_uchar8(convert_ushort4(read_imageui(input_b, sampler, (int2)(pos_x, po… 101 …in_b[1] = convert_float8(as_uchar8(convert_ushort4(read_imageui(input_b, sampler, (int2)(pos_x, po…
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/external/tensorflow/tensorflow/lite/toco/graph_transformations/ |
D | resolve_constant_binary.cc | 44 const std::vector<int>& input_b, in PairwiseVectorSelect() argument 47 DCHECK_EQ(input_a.size(), input_b.size()); in PairwiseVectorSelect() 55 (*output_b)[i] = input_b[i]; in PairwiseVectorSelect() 57 (*output_a)[i] = input_b[i]; in PairwiseVectorSelect()
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/external/tensorflow/tensorflow/python/keras/utils/ |
D | multi_gpu_utils_test.py | 83 input_b = keras.Input((input_dim_b,)) 85 b = keras.layers.Dense(hidden_dim)(input_b) 89 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 | 54 const string& input_b);
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D | auto_parallel.cc | 52 const string& input_b) { in AddNodeDiv() argument 57 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 | 229 input_b = np.array([ 233 input_features = {'aaa': input_a, 'bbb': input_b}
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/external/tensorflow/tensorflow/python/keras/layers/ |
D | recurrent_test.py | 859 input_b = 10 864 x = keras.Input((None, input_a, input_b)) 882 np.zeros((batch, time_step, input_a, input_b)), 900 np.zeros((batch, time_step, input_a, input_b)), 908 input_b = 10 914 x = keras.Input((None, input_a, input_b)) 925 np.zeros((batch, time_step, input_a, input_b)), 934 x = keras.Input((None, input_a, input_b)) 1358 input_b = input_shape[-1] 1360 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 | 100 input_b = keras.layers.Input(shape=(input_dim,), name='input_b') 106 branch_b = [input_b, dense, dense2, dropout]
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/external/tensorflow/tensorflow/compiler/jit/ |
D | partially_decluster_pass_test.cc | 329 Output input_b = ops::Placeholder(s.WithOpName("shape_b"), DT_FLOAT, in TEST() local 331 Output mul = ops::Mul(s.WithOpName("mul"), input_b, input_b); in TEST()
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/external/tensorflow/tensorflow/contrib/distribute/python/ |
D | keras_test.py | 89 input_b = keras.layers.Input(shape=(16,), name='input_b') 91 merged = keras.layers.concatenate([input_a, input_b], name='merge') 95 inputs=[input_a, input_b], outputs=[output_c, output_d]) 101 input_b = keras.layers.Input(shape=(16,), name='input_b') 109 interm_b = dense(input_b) 114 inputs=[input_a, input_b, input_m], outputs=[output_c, output_d])
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D | keras_backward_compat_test.py | 67 input_b = keras.layers.Input(shape=(16,), name='input_b') 75 interm_b = dense(input_b) 80 inputs=[input_a, input_b, input_m], outputs=[output_c, output_d])
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/external/tensorflow/tensorflow/core/ops/ |
D | list_ops.cc | 569 auto input_b = c->input(1); in __anonebbd57d81402() local 570 TF_RETURN_IF_ERROR(c->Merge(input_a, input_b, &input_a)); in __anonebbd57d81402()
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/external/tensorflow/tensorflow/python/feature_column/ |
D | feature_column_test.py | 5741 input_b = np.array( 5746 'bbb': input_b 5811 input_b = np.array([ 5815 input_features = {'aaa': input_a, 'bbb': input_b} 5863 input_b = np.array( 5877 input_b_placeholder: input_b, 5921 input_b = np.array( 5948 categorical_column_b.name: input_b, 6013 input_b = np.array([ 6042 categorical_column_b.name: input_b,
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D | feature_column_v2_test.py | 7486 input_b = np.array([ 7490 input_features = {'aaa': input_a, 'bbb': input_b} 7558 input_b = np.array([ 7573 input_b_placeholder: input_b, 7619 input_b = np.array([ 7649 categorical_column_b.name: input_b
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/external/tensorflow/tensorflow/core/common_runtime/ |
D | shape_refiner_test.cc | 367 Node* input_b = test::graph::Constant(&graph, b); in TEST_F() local 370 .Input(input_b) in TEST_F() 374 TF_ASSERT_OK(m.AddNode(input_b)); in TEST_F()
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/external/tensorflow/tensorflow/python/framework/ |
D | op_def_library_test.py | 1312 input_b = self._lib.apply_op("RefOut", T=dtypes.int32, name="u") 1313 op = self._lib.apply_op("TwoRefsIn", a=input_a, b=input_b, name="v")
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