Cathal Corbett | 9c9d5b9 | 2022-08-17 17:30:16 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include <Layer.hpp> |
| 7 | |
| 8 | #include <tosaCommon/TosaMappings.hpp> |
| 9 | |
| 10 | #include <doctest/doctest.h> |
| 11 | |
| 12 | using namespace armnn; |
| 13 | using namespace tosa; |
| 14 | |
| 15 | void AssertTosaOneToOneMappingBasicBlock(TosaSerializationBasicBlock* basicBlock, |
| 16 | std::vector<int32_t> shape, |
| 17 | uint32_t numInputs, |
| 18 | uint32_t numOutputs, |
| 19 | Op tosaOp, |
| 20 | std::string operatorString, |
| 21 | DType dataType = DType_FLOAT) |
| 22 | { |
| 23 | std::string blockStr = operatorString + "_block_"; |
| 24 | ARMNN_ASSERT(basicBlock->GetName().find(blockStr) != std::string::npos); |
| 25 | ARMNN_ASSERT(basicBlock->GetInputs().size() == numInputs); |
| 26 | ARMNN_ASSERT(basicBlock->GetOutputs().size() == numOutputs); |
| 27 | ARMNN_ASSERT(basicBlock->GetOperators().size() == 1); |
| 28 | ARMNN_ASSERT(basicBlock->GetTensors().size() == (numInputs + numOutputs)); |
| 29 | |
| 30 | TosaSerializationOperator* op = basicBlock->GetOperators().at(0); |
| 31 | ARMNN_ASSERT(op->GetInputTensorNames().size() == numInputs); |
| 32 | ARMNN_ASSERT(op->GetOutputTensorNames().size() == numOutputs); |
| 33 | |
| 34 | for (uint32_t i = 0; i < numInputs; i++) |
| 35 | { |
| 36 | std::basic_string<char> blockInputName = basicBlock->GetInputs()[i]; |
| 37 | std::basic_string<char> operatorInputName = op->GetInputTensorNames()[i]; |
| 38 | std::basic_string<char> tensorName = basicBlock->GetTensors()[i]->GetName(); |
| 39 | |
| 40 | std::string opStr = operatorString + "_input" + std::to_string(i) + "_"; |
| 41 | |
| 42 | ARMNN_ASSERT(blockInputName == operatorInputName); |
| 43 | ARMNN_ASSERT(tensorName == operatorInputName); |
| 44 | ARMNN_ASSERT(blockInputName.find(opStr) != std::string::npos); |
| 45 | } |
| 46 | |
| 47 | for (uint32_t i = 0; i < numOutputs; i++) |
| 48 | { |
| 49 | std::basic_string<char> blockOutputName = basicBlock->GetOutputs()[i]; |
| 50 | std::basic_string<char> operatorOutputName = op->GetOutputTensorNames()[i]; |
| 51 | std::basic_string<char> tensorName = basicBlock->GetTensors()[numInputs + i]->GetName(); |
| 52 | |
| 53 | std::string opStr = operatorString + "_output" + std::to_string(i) + "_"; |
| 54 | |
| 55 | ARMNN_ASSERT(blockOutputName == operatorOutputName); |
| 56 | ARMNN_ASSERT(tensorName == operatorOutputName); |
| 57 | ARMNN_ASSERT(blockOutputName.find(opStr) != std::string::npos); |
| 58 | } |
| 59 | |
| 60 | ARMNN_ASSERT(op->GetAttributeType() == Attribute_NONE); |
| 61 | ARMNN_ASSERT(op->GetOp() == tosaOp); |
| 62 | |
| 63 | TosaSerializationTensor* tensor0 = basicBlock->GetTensors()[0]; |
| 64 | ARMNN_ASSERT(tensor0->GetDtype() == dataType); |
| 65 | ARMNN_ASSERT(tensor0->GetData().size() == 0); |
| 66 | ARMNN_ASSERT(tensor0->GetShape() == shape); |
| 67 | } |
| 68 | |
| 69 | TEST_SUITE("TosaOperatorMappingOneToOneTests") |
| 70 | { |
| 71 | TEST_CASE("GetTosaMapping_AdditionLayer") |
| 72 | { |
| 73 | TensorInfo info = TensorInfo({ 1, 2, 4, 2 }, DataType::Float32, 0.0f, 0, true); |
| 74 | TosaSerializationBasicBlock* basicBlock = |
| 75 | GetTosaMapping(LayerType::Addition, {&info, &info}, {&info}, BaseDescriptor()); |
| 76 | AssertTosaOneToOneMappingBasicBlock(basicBlock, { 1, 2, 4, 2 }, 2, 1, Op::Op_ADD, "Op_ADD"); |
| 77 | } |
| 78 | |
| 79 | TEST_CASE("GetTosaMappingFromLayer_AdditionLayer") |
| 80 | { |
| 81 | IRuntime::CreationOptions options; |
| 82 | IRuntimePtr runtime(IRuntime::Create(options)); |
| 83 | |
| 84 | // Builds up the structure of the network. |
| 85 | INetworkPtr net(INetwork::Create()); |
| 86 | |
| 87 | IConnectableLayer* input0 = net->AddInputLayer(0, "input0"); |
| 88 | IConnectableLayer* input1 = net->AddInputLayer(1, "input1"); |
| 89 | IConnectableLayer* add = net->AddAdditionLayer("add"); |
| 90 | IConnectableLayer* output = net->AddOutputLayer(0, "output"); |
| 91 | |
| 92 | input0->GetOutputSlot(0).Connect(add->GetInputSlot(0)); |
| 93 | input1->GetOutputSlot(0).Connect(add->GetInputSlot(1)); |
| 94 | add->GetOutputSlot(0).Connect(output->GetInputSlot(0)); |
| 95 | |
| 96 | TensorInfo info = TensorInfo({ 1, 2, 4, 2 }, DataType::Float32, 0.0f, 0, true); |
| 97 | |
| 98 | input0->GetOutputSlot(0).SetTensorInfo(info); |
| 99 | input1->GetOutputSlot(0).SetTensorInfo(info); |
| 100 | add->GetOutputSlot(0).SetTensorInfo(info); |
| 101 | |
| 102 | TosaSerializationBasicBlock* basicBlock = |
| 103 | GetTosaMappingFromLayer(PolymorphicDowncast<Layer*>(add)); |
| 104 | AssertTosaOneToOneMappingBasicBlock(basicBlock, { 1, 2, 4, 2 }, 2, 1, Op::Op_ADD, "Op_ADD"); |
| 105 | } |
| 106 | |
| 107 | TEST_CASE("GetTosaMapping_Unimplemented") |
| 108 | { |
| 109 | TosaSerializationBasicBlock* basicBlock = |
| 110 | GetTosaMapping(LayerType::UnidirectionalSequenceLstm, {}, {}, BaseDescriptor()); |
| 111 | |
| 112 | ARMNN_ASSERT(basicBlock->GetName() == ""); |
| 113 | ARMNN_ASSERT(basicBlock->GetTensors().size() == 0); |
| 114 | ARMNN_ASSERT(basicBlock->GetOperators().size() == 1); |
| 115 | ARMNN_ASSERT(basicBlock->GetInputs().size() == 0); |
| 116 | ARMNN_ASSERT(basicBlock->GetOutputs().size() == 0); |
| 117 | |
| 118 | TosaSerializationOperator* op = basicBlock->GetOperators()[0]; |
| 119 | ARMNN_ASSERT(op->GetAttributeType() == Attribute_NONE); |
| 120 | ARMNN_ASSERT(op->GetOp() == tosa::Op_UNKNOWN); |
| 121 | ARMNN_ASSERT(op->GetInputTensorNames().size() == 0); |
| 122 | ARMNN_ASSERT(op->GetOutputTensorNames().size() == 0); |
| 123 | } |
| 124 | } |