diff options
Diffstat (limited to 'src/armnnDeserializer/test/DeserializeConvolution2d.cpp')
| -rw-r--r-- | src/armnnDeserializer/test/DeserializeConvolution2d.cpp | 182 |
1 files changed, 182 insertions, 0 deletions
diff --git a/src/armnnDeserializer/test/DeserializeConvolution2d.cpp b/src/armnnDeserializer/test/DeserializeConvolution2d.cpp index 6461250570..e099597845 100644 --- a/src/armnnDeserializer/test/DeserializeConvolution2d.cpp +++ b/src/armnnDeserializer/test/DeserializeConvolution2d.cpp @@ -121,6 +121,171 @@ struct Convolution2dFixture : public ParserFlatbuffersSerializeFixture } }; +struct Convolution2dFixtureConstantAsInput : public ParserFlatbuffersSerializeFixture +{ + explicit Convolution2dFixtureConstantAsInput(const std::string & inputShape1, + const std::string & outputShape, + const std::string & weightsShape, + const std::string & dataType) + { + m_JsonString = R"( + { + inputIds: [0], + outputIds: [3], + layers: [{ + layer_type: "InputLayer", + layer: { + base: { + layerBindingId: 0, + base: { + index: 0, + layerName: "InputLayer", + layerType: "Input", + inputSlots: [{ + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }], + outputSlots: [{ + index: 0, + tensorInfo: { + dimensions: )" + inputShape1 + R"(, + dataType: )" + dataType + R"(, + quantizationScale: 0.5, + quantizationOffset: 0 + }, + }] + }, + } + }, + }, + { + layer_type: "Convolution2dLayer", + layer : { + base: { + index:1, + layerName: "Convolution2dLayer", + layerType: "Convolution2d", + inputSlots: [ + { + index: 0, + connection: {sourceLayerIndex:0, outputSlotIndex:0 }, + }, + { + index: 1, + connection: { + sourceLayerIndex: 2, + outputSlotIndex: 0 + } + } + ], + outputSlots: [ + { + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + dataType + R"( + }, + } + ], + }, + descriptor: { + padLeft: 1, + padRight: 1, + padTop: 1, + padBottom: 1, + strideX: 2, + strideY: 2, + biasEnabled: false, + dataLayout: NHWC + } + } + }, + { + layer_type: "ConstantLayer", + layer: { + base: { + index: 2, + layerName: "Weights", + layerType: "Constant", + inputSlots: [ + + ], + outputSlots: [ + { + index: 0, + tensorInfo: { + dimensions: )" + weightsShape + R"(, + dataType: )" + dataType + R"(, + quantizationScale: 0.1, + dimensionSpecificity: [ + true, + true, + true, + true + ] + } + } + ] + }, + input: { + info: { + dimensions: )" + weightsShape + R"(, + dataType: )" + dataType + R"(, + quantizationScale: 0.1, + dimensionSpecificity: [ + true, + true, + true, + true + ] + }, + data_type: "IntData", + data: { + data: [ + 1082130432, 1084227584, 1086324736, + 0 ,0 ,0 , + 1077936128, 1073741824, 1065353216 + ] + } + } + } + }, + { + layer_type: "OutputLayer", + layer: { + base:{ + layerBindingId: 0, + base: { + index: 3, + layerName: "OutputLayer", + layerType: "Output", + inputSlots: [{ + index: 0, + "connection": { + "sourceLayerIndex": 1, + "outputSlotIndex": 0 + } + }], + outputSlots: [ { + index: 0, + tensorInfo: { + dimensions: )" + outputShape + R"(, + dataType: )" + dataType + R"( + }, + }], + } + }}, + }], + "featureVersions": { + "constantTensorsAsInputs": 1, + "weightsLayoutScheme": 1 + } + } + )"; + Setup(); + } +}; + struct SimpleConvolution2dFixture : Convolution2dFixture { SimpleConvolution2dFixture() : Convolution2dFixture("[ 1, 5, 5, 1 ]", @@ -137,4 +302,21 @@ TEST_CASE_FIXTURE(SimpleConvolution2dFixture, "Convolution2dFloat32") {{"OutputLayer", {23, 33, 24, 91, 99, 48, 26, 50, 19}}}); } + +struct SimpleConvolution2dFixtureConstantAsInput : Convolution2dFixtureConstantAsInput +{ + SimpleConvolution2dFixtureConstantAsInput() : Convolution2dFixtureConstantAsInput("[ 1, 5, 5, 1 ]", + "[ 1, 3, 3, 1 ]", + "[ 1, 3, 3, 1 ]", + "Float32") {} +}; + +TEST_CASE_FIXTURE(SimpleConvolution2dFixtureConstantAsInput, "Convolution2dFloat32ConstAsInput") +{ + RunTest<4, armnn::DataType::Float32>( + 0, + {{"InputLayer", {1, 5, 2, 3, 5, 8, 7, 3, 6, 3, 3, 3, 9, 1, 9, 4, 1, 8, 1, 3, 6, 8, 1, 9, 2}}}, + {{"OutputLayer", {23, 33, 24, 91, 99, 48, 26, 50, 19}}}); +} + } |