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Searched refs:InputLayer (Results 1 – 25 of 134) sorted by relevance

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/external/armnn/src/armnn/test/optimizations/
DAddBroadcastReshapeLayerTests.cpp28 auto input0 = graph.AddLayer<InputLayer>(0, "input0"); in AddBroadcastReshapeLayerOptimizerTest()
29 auto input1 = graph.AddLayer<InputLayer>(1, "input1"); in AddBroadcastReshapeLayerOptimizerTest()
41 &IsLayerOfType<InputLayer>, in AddBroadcastReshapeLayerOptimizerTest()
42 &IsLayerOfType<InputLayer>, in AddBroadcastReshapeLayerOptimizerTest()
51 &IsLayerOfType<InputLayer>, in AddBroadcastReshapeLayerOptimizerTest()
52 &IsLayerOfType<InputLayer>, in AddBroadcastReshapeLayerOptimizerTest()
122 auto input0 = graph.AddLayer<InputLayer>(0, "input0");
123 auto input1 = graph.AddLayer<InputLayer>(1, "input1");
135 &IsLayerOfType<InputLayer>,
136 &IsLayerOfType<InputLayer>,
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DMoveTransposeUpTests.cpp44 graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(1), inputId++, "")
62 graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(1), inputId++, "")
67 graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(0), inputId++, "")
71 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
72 &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>,
81 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
82 &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>,
DMovePermuteUpTests.cpp43 graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(1), inputId++, "")
61 graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(1), inputId++, "")
66 graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(0), inputId++, "")
70 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
71 &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>,
80 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
81 &IsLayerOfType<armnn::InputLayer>, &IsLayerOfType<armnn::InputLayer>,
DOptimizeInversePermutesTests.cpp24 graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
32 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
39 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
49 graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
59 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
66 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
DFoldPadTests.cpp31 Layer* input = graph.AddLayer<InputLayer>(0, "input");
76 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>,
94 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>,
113 Layer* input = graph.AddLayer<InputLayer>(0, "input");
160 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>,
180 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>,
197 Layer* input = graph.AddLayer<InputLayer>(0, "input");
233 &IsLayerOfType<InputLayer>,
263 &IsLayerOfType<InputLayer>,
282 Layer* input = graph.AddLayer<InputLayer>(0, "input");
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DOptimizeConsecutiveReshapesTests.cpp23 auto input = graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
43 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
57 … CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, checkReshape,
76 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
DInsertDebugLayerTests.cpp23 auto input = graph.AddLayer<armnn::InputLayer>(0, "input");
35 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
41 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
DOptimizeInverseConversionsTests.cpp24 graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
36 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
46 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
DFp32NetworkToFp16ConverterTests.cpp23 auto input = graph.AddLayer<armnn::InputLayer>(0, "input");
35 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
42 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
DPermuteAsReshapeTests.cpp29 graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input")
40 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
54 … CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, checkReshape,
DTransposeAsReshapeTests.cpp29 graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input")
40 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>,
54 … CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<armnn::InputLayer>, checkReshape,
DPermuteAndBatchToSpaceAsDepthToSpaceTests.cpp93 …CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<Permu…
107 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, checkDepthToSpace,
123 …CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, &IsLayerOfType<Trans…
137 CHECK(CheckSequence(graph.cbegin(), graph.cend(), &IsLayerOfType<InputLayer>, checkDepthToSpace,
221 CHECK(CheckSequence(optGraph.cbegin(), optGraph.cend(), &IsLayerOfType<InputLayer>,
268 CHECK(CheckSequence(optGraph.cbegin(), optGraph.cend(), &IsLayerOfType<InputLayer>,
/external/armnn/src/armnn/layers/
DInputLayer.cpp15 InputLayer::InputLayer(LayerBindingId id, const char* name) in InputLayer() function in armnn::InputLayer
20 std::unique_ptr<IWorkload> InputLayer::CreateWorkload(const IWorkloadFactory& factory) const in CreateWorkload()
26 InputLayer* InputLayer::Clone(Graph& graph) const in Clone()
28 return CloneBase<InputLayer>(graph, GetBindingId(), GetName()); in Clone()
31 void InputLayer::ValidateTensorShapesFromInputs() in ValidateTensorShapesFromInputs()
38 void InputLayer::ExecuteStrategy(IStrategy& strategy) const in ExecuteStrategy()
DInputLayer.hpp13 class InputLayer : public BindableLayer class
24 InputLayer* Clone(Graph& graph) const override;
37 InputLayer(LayerBindingId id, const char* name);
40 ~InputLayer() = default;
/external/armnn/src/armnn/test/
DOptimizerTests.cpp117 Layer* const input = graph.AddLayer<InputLayer>(0, "input"); in CreateLSTMLayerHelper()
118 Layer* const outputStateIn = graph.AddLayer<InputLayer>(1, "outputStateIn"); in CreateLSTMLayerHelper()
119 Layer* const cellStateIn = graph.AddLayer<InputLayer>(2, "cellStateIn"); in CreateLSTMLayerHelper()
345 graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(1), inputId++, "")
354 graph.InsertNewLayer<armnn::InputLayer>(head->GetInputSlot(0), inputId++, "")
360 &IsLayerOfType<armnn::InputLayer>,
361 &IsLayerOfType<armnn::InputLayer>,
410 &IsLayerOfType<armnn::InputLayer>,
411 &IsLayerOfType<armnn::InputLayer>,
441 Layer* input = graph.AddLayer<InputLayer>(0, "input"); in CreateConvolution2dGraph()
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DObservableTest.cpp22 auto input = graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
40 graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
60 graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
80 graph.InsertNewLayer<armnn::InputLayer>(output->GetInputSlot(0), 0, "input");
DSubgraphViewTests.cpp246 Layer* const inputLayer = graph.AddLayer<InputLayer>(0, "input");
283 Layer* const inputLayer = graph.AddLayer<InputLayer>(0, "input");
341 Layer* const inputLayer = graph.AddLayer<InputLayer>(0, "input");
386 Layer* const inputLayer = graph.AddLayer<InputLayer>(0, "input");
430 Layer* const inputLayer = graph.AddLayer<InputLayer>(0, "input");
475 Layer* const inputLayer = graph.AddLayer<InputLayer>(0, "input");
519 Layer* const inputLayer = graph.AddLayer<InputLayer>(0, "input");
570 Layer* const inputLayer = graph.AddLayer<InputLayer>(0, "input");
620 Layer* const inputLayer = graph.AddLayer<InputLayer>(0, "input");
674 graph.AddLayer<InputLayer>(0, "input");
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/external/armnn/src/armnnDeserializer/test/
DDeserializeConvolution2d.cpp25 layer_type: "InputLayer", in Convolution2dFixture()
31 layerName: "InputLayer", in Convolution2dFixture()
136 layer_type: "InputLayer", in Convolution2dFixtureConstantAsInput()
142 layerName: "InputLayer", in Convolution2dFixtureConstantAsInput()
DDeserializeFullyConnected.cpp25 layer_type: "InputLayer", in FullyConnectedFixture()
31 layerName: "InputLayer", in FullyConnectedFixture()
129 "layer_type": "InputLayer", in FullyConnectedFixtureConstantAsInput()
134 "layerName": "InputLayer", in FullyConnectedFixtureConstantAsInput()
DDeserializeShape.cpp23 layer_type: "InputLayer", in ShapeFixture()
27 layerName: "InputLayer", in ShapeFixture()
DDeserializeChannelShuffle.cpp21 layer_type: "InputLayer", in ChannelShuffleFixture()
25 layerName: "InputLayer", in ChannelShuffleFixture()
DDeserializeFill.cpp21 layer_type: "InputLayer", in FillFixture()
25 layerName: "InputLayer", in FillFixture()
DDeserializeFloor.cpp24 layer_type: "InputLayer", in FloorFixture()
30 layerName: "InputLayer", in FloorFixture()
/external/armnn/src/armnnTestUtils/
DCreateWorkload.hpp78 Layer* const input = graph.AddLayer<InputLayer>(0, "input"); in CreateActivationWorkloadTest()
114 Layer* const input1 = graph.AddLayer<InputLayer>(1, "input1"); in CreateElementwiseWorkloadTest()
115 Layer* const input2 = graph.AddLayer<InputLayer>(2, "input2"); in CreateElementwiseWorkloadTest()
148 Layer* const input1 = graph.AddLayer<InputLayer>(1, "input1"); in CreateElementwiseBinaryWorkloadTest()
149 Layer* const input2 = graph.AddLayer<InputLayer>(2, "input2"); in CreateElementwiseBinaryWorkloadTest()
187 Layer* const input1 = graph.AddLayer<InputLayer>(1, "input1"); in CreateSubtractionWithBlobWorkloadTest()
188 Layer* const input2 = graph.AddLayer<InputLayer>(2, "input2"); in CreateSubtractionWithBlobWorkloadTest()
246 Layer* const input1 = graph.AddLayer<InputLayer>(1, "input1"); in CreateMultiplicationWithBlobWorkloadTest()
247 Layer* const input2 = graph.AddLayer<InputLayer>(2, "input2"); in CreateMultiplicationWithBlobWorkloadTest()
302 Layer* const input1 = graph.AddLayer<InputLayer>(1, "input1"); in CreateAdditionWithBlobWorkloadTest()
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/external/armnn/samples/
DSimpleSample.cpp41 IConnectableLayer* InputLayer = myNetwork->AddInputLayer(0); in main() local
44 InputLayer->GetOutputSlot(0).Connect(fullyConnectedLayer->GetInputSlot(0)); in main()
54 InputLayer->GetOutputSlot(0).SetTensorInfo(inputTensorInfo); in main()

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