| /external/ComputeLibrary/examples/ |
| D | graph_inception_v4.cpp | 86 .set_name("Conv2d_1a_3x3/Conv2D") in do_setup()
92 .set_name("Conv2d_1a_3x3/BatchNorm") in do_setup()
93 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_1a_3x3/Re… in do_setup()
98 .set_name("Conv2d_2a_3x3/Conv2D") in do_setup()
104 .set_name("Conv2d_2a_3x3/BatchNorm") in do_setup()
105 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2a_3x3/Re… in do_setup()
110 .set_name("Conv2d_2b_3x3/Conv2D") in do_setup()
116 .set_name("Conv2d_2b_3x3/BatchNorm") in do_setup()
117 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2b_3x3/Re… in do_setup()
119 graph << get_mixed_3a(data_path, weights_layout).set_name("Mixed_3a/concat"); in do_setup()
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| D | graph_inception_resnet_v2.cpp | 97 .set_name("Conv2d_1a_3x3/convolution") in do_setup()
103 .set_name("Conv2d_1a_3x3/BatchNorm") in do_setup()
104 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_1a_3x3/Re… in do_setup()
110 .set_name("Conv2d_2a_3x3/convolution") in do_setup()
116 .set_name("Conv2d_2a_3x3/BatchNorm") in do_setup()
117 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2a_3x3/Re… in do_setup()
123 .set_name("Conv2d_2b_3x3/convolution") in do_setup()
129 .set_name("Conv2d_2b_3x3/BatchNorm") in do_setup()
130 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2b_3x3/Re… in do_setup()
132 …_layout, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL), true)).set_name("MaxPool_3a_3x3/M… in do_setup()
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| D | graph_yolov3.cpp | 87 .set_name("conv2d_53") in do_setup()
94 .set_name("conv2d_53/BatchNorm") in do_setup()
95 …onLayerInfo(ActivationLayerInfo::ActivationFunction::LEAKY_RELU, 0.1f)).set_name("conv2d_53/LeakyR… in do_setup()
101 .set_name("conv2d_54") in do_setup()
108 .set_name("conv2d_54/BatchNorm") in do_setup()
109 …onLayerInfo(ActivationLayerInfo::ActivationFunction::LEAKY_RELU, 0.1f)).set_name("conv2d_54/LeakyR… in do_setup()
115 .set_name("conv2d_55") in do_setup()
122 .set_name("conv2d_55/BatchNorm") in do_setup()
123 …onLayerInfo(ActivationLayerInfo::ActivationFunction::LEAKY_RELU, 0.1f)).set_name("conv2d_55/LeakyR… in do_setup()
129 .set_name("conv2d_56") in do_setup()
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| D | graph_vgg19.cpp | 84 .set_name("conv1_1") in do_setup()
85 …nLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv1_1/Relu") in do_setup()
91 .set_name("conv1_2") in do_setup()
92 …nLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv1_2/Relu") in do_setup()
93 …olingLayerInfo(PoolingType::MAX, 2, operation_layout, PadStrideInfo(2, 2, 0, 0))).set_name("pool1") in do_setup()
100 .set_name("conv2_1") in do_setup()
101 …nLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv2_1/Relu") in do_setup()
107 .set_name("conv2_2") in do_setup()
108 …nLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv2_2/Relu") in do_setup()
109 …olingLayerInfo(PoolingType::MAX, 2, operation_layout, PadStrideInfo(2, 2, 0, 0))).set_name("pool2") in do_setup()
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| D | graph_inception_resnet_v1.cpp | 113 .set_name("Conv2d_1a_3x3/convolution") in do_setup()
119 .set_name("Conv2d_1a_3x3/BatchNorm") in do_setup()
120 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_1a_3x3/Re… in do_setup()
126 .set_name("Conv2d_2a_3x3/convolution") in do_setup()
132 .set_name("Conv2d_2a_3x3/BatchNorm") in do_setup()
133 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2a_3x3/Re… in do_setup()
139 .set_name("Conv2d_2b_3x3/convolution") in do_setup()
145 .set_name("Conv2d_2b_3x3/BatchNorm") in do_setup()
146 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2b_3x3/Re… in do_setup()
148 …_layout, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL), true)).set_name("MaxPool_3a_3x3/M… in do_setup()
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| D | graph_inception_v3.cpp | 81 .set_name("Conv2d_1a_3x3/convolution") in do_setup()
89 .set_name("Conv2d_1a_3x3/BatchNorm/batchnorm") in do_setup()
90 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_1a_3x3/Re… in do_setup()
94 .set_name("Conv2d_2a_3x3/convolution") in do_setup()
102 .set_name("Conv2d_2a_3x3/BatchNorm/batchnorm") in do_setup()
103 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2a_3x3/Re… in do_setup()
108 .set_name("Conv2d_2b_3x3/convolution") in do_setup()
116 .set_name("Conv2d_2b_3x3/BatchNorm/batchnorm") in do_setup()
117 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv2d_2b_3x3/Re… in do_setup()
119 …ration_layout, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name("MaxPool_3a_3x3/M… in do_setup()
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| D | graph_vgg16.cpp | 86 .set_name("conv1_1") in do_setup()
87 …nLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv1_1/Relu") in do_setup()
94 .set_name("conv1_2") in do_setup()
95 …nLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv1_2/Relu") in do_setup()
96 …olingLayerInfo(PoolingType::MAX, 2, operation_layout, PadStrideInfo(2, 2, 0, 0))).set_name("pool1") in do_setup()
103 .set_name("conv2_1") in do_setup()
104 …nLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv2_1/Relu") in do_setup()
111 .set_name("conv2_2") in do_setup()
112 …nLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv2_2/Relu") in do_setup()
113 …olingLayerInfo(PoolingType::MAX, 2, operation_layout, PadStrideInfo(2, 2, 0, 0))).set_name("pool2") in do_setup()
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| D | graph_squeezenet_v1_1.cpp | 84 .set_name("conv1") in do_setup()
85 …ionLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu_conv1") in do_setup()
86 …AX, 3, operation_layout, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name("pool1") in do_setup()
92 .set_name("fire2/squeeze1x1") in do_setup()
93 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("fire2/relu_squee… in do_setup()
94 …graph << get_expand_fire_node(data_path, "fire2", weights_layout, 64U, 64U).set_name("fire2/concat… in do_setup()
100 .set_name("fire3/squeeze1x1") in do_setup()
101 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("fire3/relu_squee… in do_setup()
102 …graph << get_expand_fire_node(data_path, "fire3", weights_layout, 64U, 64U).set_name("fire3/concat… in do_setup()
103 …AX, 3, operation_layout, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name("pool3") in do_setup()
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| D | graph_squeezenet.cpp | 84 .set_name("conv1") in do_setup()
85 …ionLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu_conv1") in do_setup()
86 …AX, 3, operation_layout, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name("pool1") in do_setup()
92 .set_name("fire2/squeeze1x1") in do_setup()
93 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("fire2/relu_squee… in do_setup()
94 …graph << get_expand_fire_node(data_path, "fire2", weights_layout, 64U, 64U).set_name("fire2/concat… in do_setup()
100 .set_name("fire3/squeeze1x1") in do_setup()
101 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("fire3/relu_squee… in do_setup()
102 …graph << get_expand_fire_node(data_path, "fire3", weights_layout, 64U, 64U).set_name("fire3/concat… in do_setup()
108 .set_name("fire4/squeeze1x1") in do_setup()
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| D | graph_googlenet.cpp | 87 .set_name("conv1/7x7_s2") in do_setup()
88 …ayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv1/relu_7x7") in do_setup()
89 …operation_layout, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name("pool1/3x3_s2") in do_setup()
90 …zationLayer(NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f)).set_name("pool1/norm1") in do_setup()
96 .set_name("conv2/3x3_reduce") in do_setup()
97 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv2/relu_3x3_r… in do_setup()
103 .set_name("conv2/3x3") in do_setup()
104 …ayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv2/relu_3x3") in do_setup()
105 …zationLayer(NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f)).set_name("conv2/norm2") in do_setup()
106 …peration_layout, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name("pool2/3x3_s2"); in do_setup()
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| D | graph_alexnet.cpp | 92 .set_name("conv1") in do_setup()
93 …tivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu1") in do_setup()
94 …ormalizationLayer(NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f)).set_name("norm1") in do_setup()
95 …olingLayerInfo(PoolingType::MAX, 3, operation_layout, PadStrideInfo(2, 2, 0, 0))).set_name("pool1") in do_setup()
102 .set_name("conv2") in do_setup()
103 …tivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu2") in do_setup()
104 …ormalizationLayer(NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f)).set_name("norm2") in do_setup()
105 …olingLayerInfo(PoolingType::MAX, 3, operation_layout, PadStrideInfo(2, 2, 0, 0))).set_name("pool2") in do_setup()
112 .set_name("conv3") in do_setup()
113 …tivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu3") in do_setup()
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| D | graph_resnet50.cpp | 85 .set_name("conv1/convolution") in do_setup()
92 .set_name("conv1/BatchNorm") in do_setup()
93 …ionLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv1/Relu") in do_setup()
94 …_layout, PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR))).set_name("pool1/MaxPool"); in do_setup()
101 … graph << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, operation_layout)).set_name("pool5") in do_setup()
107 .set_name("logits/convolution") in do_setup()
108 << FlattenLayer().set_name("predictions/Reshape") in do_setup()
109 << SoftmaxLayer().set_name("predictions/Softmax") in do_setup()
163 .set_name(unit_name + "conv1/convolution") in add_residual_block()
170 .set_name(unit_name + "conv1/BatchNorm") in add_residual_block()
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| D | graph_mobilenet_v2.cpp | 84 graph << ReshapeLayer(TensorShape(1001U)).set_name("Predictions/Reshape") in do_setup()
85 << SoftmaxLayer().set_name("Predictions/Softmax") in do_setup()
148 .set_name("Conv") in create_graph_float()
154 .set_name("Conv/BatchNorm") in create_graph_float()
156 .set_name("Conv/Relu6"); in create_graph_float()
180 .set_name("Conv_1") in create_graph_float()
186 .set_name("Conv_1/BatchNorm") in create_graph_float()
188 .set_name("Conv_1/Relu6") in create_graph_float()
189 …lingLayer(PoolingLayerInfo(PoolingType::AVG, common_params.data_layout)).set_name("Logits/AvgPool") in create_graph_float()
194 .set_name("Logits/Conv2d_1c_1x1"); in create_graph_float()
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| D | graph_resnet_v2_50.cpp | 88 .set_name("conv1/convolution") in do_setup()
89 …_layout, PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR))).set_name("pool1/MaxPool"); in do_setup()
102 .set_name("postnorm/BatchNorm") in do_setup()
103 …Layer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("postnorm/Relu") in do_setup()
104 … << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, operation_layout)).set_name("pool5") in do_setup()
110 .set_name("logits/convolution") in do_setup()
111 << FlattenLayer().set_name("predictions/Reshape") in do_setup()
112 << SoftmaxLayer().set_name("predictions/Softmax") in do_setup()
169 .set_name(unit_name + "preact/BatchNorm") in add_residual_block()
170 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(unit_name + "prea… in add_residual_block()
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| D | graph_shufflenet.cpp | 102 .set_name("Conv1/convolution") in do_setup()
109 .set_name("Conv1/BatchNorm") in do_setup()
110 …ionLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Conv1/Relu") in do_setup()
111 …rInfo(PoolingType::MAX, 3, operation_layout, PadStrideInfo(2, 2, 1, 1))).set_name("pool1/MaxPool"); in do_setup()
135 …graph << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, operation_layout)).set_name("predictions/… in do_setup()
136 << FlattenLayer().set_name("predictions/Reshape") in do_setup()
141 .set_name("predictions/FC") in do_setup()
142 << SoftmaxLayer().set_name("predictions/Softmax") in do_setup()
185 …ingType::AVG, 3, common_params.data_layout, PadStrideInfo(2, 2, 1, 1))).set_name(unit_name + "/poo… in add_residual_block()
194 .set_name(unit_name + "/gconv1_" + gconv_id_name + "/convolution") in add_residual_block()
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| D | graph_resnext50.cpp | 80 .set_name("bn_data/Scale") in do_setup()
86 .set_name("conv0/Convolution") in do_setup()
87 …ionLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv0/Relu") in do_setup()
88 …peration_layout, PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR))).set_name("pool0"); in do_setup()
95 … graph << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, operation_layout)).set_name("pool1") in do_setup()
96 << FlattenLayer().set_name("predictions/Reshape") in do_setup()
148 .set_name(unit_name + "conv1/convolution") in add_residual_block()
149 …yer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(unit_name + "conv… in add_residual_block()
156 .set_name(unit_name + "conv2/convolution") in add_residual_block()
159 .set_name(unit_name + "conv1/Scale") in add_residual_block()
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| D | graph_resnet12.cpp | 101 .set_name("conv1/convolution") in do_setup()
102 …onLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv1/Relu"); in do_setup()
114 .set_name("conv10/convolution") in do_setup()
115 …onLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv10/Relu") in do_setup()
121 .set_name("conv11/convolution") in do_setup()
122 …onLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv11/Relu") in do_setup()
128 .set_name("conv12/convolution") in do_setup()
129 …onLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::TANH)).set_name("conv12/Tanh") in do_setup()
130 …nLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR, 0.58f, 0.5f)).set_name("conv12/Linear") in do_setup()
177 .set_name(unit_name + "conv1/convolution") in add_residual_block()
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| D | graph_deepspeech_v0_4_1.cpp | 90 .set_name("input_node"); in do_setup()
94 … PermuteLayer(PermutationVector(2U, 0U, 1U), common_params.data_layout).set_name("permute_to_nhwc"… in do_setup()
97 graph << ReshapeLayer(TensorShape(494U, n_steps)).set_name("Reshape_input") in do_setup()
103 .set_name("fc0") in do_setup()
105 .set_name("Relu") in do_setup()
111 .set_name("fc1") in do_setup()
113 .set_name("Relu_1") in do_setup()
119 .set_name("fc2") in do_setup()
121 .set_name("Relu_2") in do_setup()
123 << ReshapeLayer(TensorShape(2048U, 1U, n_steps)).set_name("Reshape_1"); in do_setup()
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| D | graph_mobilenet.cpp | 93 graph << ReshapeLayer(TensorShape(1001U)).set_name("Reshape") in do_setup()
94 << SoftmaxLayer().set_name("Softmax") in do_setup()
145 .set_name("Conv2d_0") in create_graph_float()
152 .set_name("Conv2d_0/BatchNorm") in create_graph_float()
153 …nLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f)).set_name("Conv2d_0/Relu6"); in create_graph_float()
167 …ingLayer(PoolingLayerInfo(PoolingType::AVG, common_params.data_layout)).set_name("Logits/AvgPool_1… in create_graph_float()
173 .set_name("Logits/Conv2d_1c_1x1"); in create_graph_float()
243 .set_name("Conv2d_0") in create_graph_qasymm()
244 …yerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f)).set_name("Conv2d_0/Relu6"); in create_graph_qasymm()
270 …ingLayer(PoolingLayerInfo(PoolingType::AVG, common_params.data_layout)).set_name("Logits/AvgPool_1… in create_graph_qasymm()
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| /external/rust/crates/grpcio-sys/grpc/src/cpp/ext/filters/census/ |
| D | views.cc | 93 .set_name("grpc.io/client/sent_bytes_per_rpc/cumulative") in ClientSentBytesPerRpcCumulative()
103 .set_name("grpc.io/client/received_bytes_per_rpc/cumulative") in ClientReceivedBytesPerRpcCumulative()
113 .set_name("grpc.io/client/roundtrip_latency/cumulative") in ClientRoundtripLatencyCumulative()
123 .set_name("grpc.io/client/server_latency/cumulative") in ClientServerLatencyCumulative()
133 .set_name("grpc.io/client/completed_rpcs/cumulative") in ClientCompletedRpcsCumulative()
144 .set_name("grpc.io/client/received_messages_per_rpc/cumulative") in ClientSentMessagesPerRpcCumulative()
154 .set_name("grpc.io/client/sent_messages_per_rpc/cumulative") in ClientReceivedMessagesPerRpcCumulative()
165 .set_name("grpc.io/server/received_bytes_per_rpc/cumulative") in ServerSentBytesPerRpcCumulative()
175 .set_name("grpc.io/server/sent_bytes_per_rpc/cumulative") in ServerReceivedBytesPerRpcCumulative()
185 .set_name("grpc.io/server/elapsed_time/cumulative") in ServerServerLatencyCumulative()
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| /external/grpc-grpc/src/cpp/ext/filters/census/ |
| D | views.cc | 93 .set_name("grpc.io/client/sent_bytes_per_rpc/cumulative") in ClientSentBytesPerRpcCumulative()
103 .set_name("grpc.io/client/received_bytes_per_rpc/cumulative") in ClientReceivedBytesPerRpcCumulative()
113 .set_name("grpc.io/client/roundtrip_latency/cumulative") in ClientRoundtripLatencyCumulative()
123 .set_name("grpc.io/client/server_latency/cumulative") in ClientServerLatencyCumulative()
133 .set_name("grpc.io/client/completed_rpcs/cumulative") in ClientCompletedRpcsCumulative()
144 .set_name("grpc.io/client/received_messages_per_rpc/cumulative") in ClientSentMessagesPerRpcCumulative()
154 .set_name("grpc.io/client/sent_messages_per_rpc/cumulative") in ClientReceivedMessagesPerRpcCumulative()
165 .set_name("grpc.io/server/received_bytes_per_rpc/cumulative") in ServerSentBytesPerRpcCumulative()
175 .set_name("grpc.io/server/sent_bytes_per_rpc/cumulative") in ServerReceivedBytesPerRpcCumulative()
185 .set_name("grpc.io/server/elapsed_time/cumulative") in ServerServerLatencyCumulative()
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| /external/tensorflow/tensorflow/tools/graph_transforms/ |
| D | strip_unused_nodes_test.cc | 42 add_node->set_name("add_node"); in TestSimpleAdd()
48 a_node->set_name("a_node"); in TestSimpleAdd()
52 b_node->set_name("b_node"); in TestSimpleAdd()
56 c_node->set_name("c_node"); in TestSimpleAdd()
74 add_node1->set_name("add_node1"); in TestCommonAncestor()
80 add_node2->set_name("add_node2"); in TestCommonAncestor()
86 add_node3->set_name("add_node3"); in TestCommonAncestor()
92 const_node1->set_name("const_node1"); in TestCommonAncestor()
96 const_node2->set_name("const_node2"); in TestCommonAncestor()
100 const_node3->set_name("const_node3"); in TestCommonAncestor()
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| D | sort_by_execution_order_test.cc | 43 add_node->set_name("add_node"); in TestSimpleAdd()
49 b_node->set_name("b_node"); in TestSimpleAdd()
53 a_node->set_name("a_node"); in TestSimpleAdd()
70 negative_node->set_name("negative_node"); in TestSimpleLinear()
75 relu_node->set_name("relu_node"); in TestSimpleLinear()
80 sqrt_node->set_name("sqrt_node"); in TestSimpleLinear()
85 const_node->set_name("const_node"); in TestSimpleLinear()
103 add_node1->set_name("add_node1"); in TestSimpleTree()
109 add_node2->set_name("add_node2"); in TestSimpleTree()
115 add_node3->set_name("add_node3"); in TestSimpleTree()
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| D | remove_nodes_test.cc | 42 add_node1->set_name("add_node1"); in TestRemoveNodes()
48 add_node2->set_name("add_node2"); in TestRemoveNodes()
54 add_node3->set_name("add_node3"); in TestRemoveNodes()
60 identity_node1->set_name("identity_node1"); in TestRemoveNodes()
65 identity_node2->set_name("identity_node2"); in TestRemoveNodes()
70 identity_node3->set_name("identity_node3"); in TestRemoveNodes()
75 const_node1->set_name("const_node1"); in TestRemoveNodes()
79 const_node2->set_name("const_node2"); in TestRemoveNodes()
83 const_node3->set_name("const_node3"); in TestRemoveNodes()
87 add_node4->set_name("add_node4"); in TestRemoveNodes()
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| D | backports_test.cc | 46 mul_node1->set_name("mul_node1"); in TestBackportConcatV2()
52 add_node2->set_name("add_node2"); in TestBackportConcatV2()
58 add_node3->set_name("add_node3"); in TestBackportConcatV2()
64 const_node1->set_name("const_node1"); in TestBackportConcatV2()
68 const_node2->set_name("const_node2"); in TestBackportConcatV2()
72 const_node3->set_name("const_node3"); in TestBackportConcatV2()
76 concat_node->set_name("concat_node"); in TestBackportConcatV2()
112 size_node->set_name("size_node"); in TEST()
119 tensor_array_node->set_name("tensor_array_node"); in TEST()
129 handle_output_node->set_name("handle_output_node"); in TEST()
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