diff options
Diffstat (limited to 'src/backends/tosaCommon/operatorMappings/ReluOperator.cpp')
| -rw-r--r-- | src/backends/tosaCommon/operatorMappings/ReluOperator.cpp | 53 |
1 files changed, 44 insertions, 9 deletions
diff --git a/src/backends/tosaCommon/operatorMappings/ReluOperator.cpp b/src/backends/tosaCommon/operatorMappings/ReluOperator.cpp index bd1a59670e..541b39cd8d 100644 --- a/src/backends/tosaCommon/operatorMappings/ReluOperator.cpp +++ b/src/backends/tosaCommon/operatorMappings/ReluOperator.cpp @@ -17,7 +17,7 @@ TosaSerializationBasicBlock* ConvertReluToTosaOperator(const Layer* layer, const std::vector<const TensorInfo*>& inputs, const std::vector<const TensorInfo*>& outputs, - const ActivationDescriptor*) + const ActivationDescriptor* desc) { if (inputs.size() != 1) { @@ -31,7 +31,36 @@ TosaSerializationBasicBlock* ConvertReluToTosaOperator(const Layer* layer, std::string inputName = std::string("input_"); std::string outputName = std::string("output0_"); - std::string blockName = std::string("Op_RELU_block_") + GetUniqueTosaMappingID(); + std::string blockName = ""; + + int32_t clamp_min = 0; + int32_t clamp_max = 0; + float float_max = 0.0f; + switch (desc->m_Function) + { + case ActivationFunction::ReLu: + { + clamp_max = std::numeric_limits<int32_t>::max(); + float_max = std::numeric_limits<float>::max(); + blockName = std::string("Op_RELU_block_") + GetUniqueTosaMappingID(); + break; + } + case ActivationFunction::BoundedReLu: + { + clamp_max = static_cast<int32_t>(desc->m_A); + float_max = desc->m_A; + blockName = std::string("Op_BOUNDED_RELU_block_") + GetUniqueTosaMappingID(); + break; + } + case ActivationFunction::LeakyReLu: + { + throw Exception("LeakyRelu TOSA mappings are performed in ConvertLeakyReluToTosaOperator()."); + } + default: + { + throw Exception("Activation function is not supported in ConvertReluToTosaOperator()."); + } + } // If a layer is present then the block will be used for execution, so input and output names need to be determined // using the previous and following layers so the graph is connected correctly. For validation this doesn't matter. @@ -60,8 +89,6 @@ TosaSerializationBasicBlock* ConvertReluToTosaOperator(const Layer* layer, DType outputDType0 = ArmNNToDType(outputs[0]->GetDataType()); tensors.push_back(new TosaSerializationTensor(outputName, outputShape0, outputDType0, {})); - int32_t clamp_min = 0; - int32_t clamp_max = std::numeric_limits<int32_t>::max(); std::string clampInputNameStr = inputName; if (inputDType0 == tosa::DType::DType_INT8 || inputDType0 == tosa::DType::DType_INT16) { @@ -72,18 +99,26 @@ TosaSerializationBasicBlock* ConvertReluToTosaOperator(const Layer* layer, int32_t input_zp = inputs[0]->GetQuantizationOffset(); int32_t output_zp = outputs[0]->GetQuantizationOffset(); - clamp_min = outputs[0]->GetQuantizationOffset(); + clamp_min = output_zp; + + if (desc->m_Function == ActivationFunction::BoundedReLu) + { + clamp_max = static_cast<int32_t>(std::round(desc->m_A / outputs[0]->GetQuantizationScale())) + output_zp; + } + if (inputDType0 == tosa::DType::DType_INT8) { clamp_min = clamp_min < std::numeric_limits<int8_t>::min() ? std::numeric_limits<int8_t>::min() : clamp_min; - clamp_max = std::numeric_limits<int8_t>::max(); + clamp_max = + clamp_max > std::numeric_limits<int8_t>::max() ? std::numeric_limits<int8_t>::max() : clamp_max; } else { clamp_min = clamp_min < std::numeric_limits<int16_t>::min() ? std::numeric_limits<int16_t>::min() : clamp_min; - clamp_max = std::numeric_limits<int16_t>::max(); + clamp_max = + clamp_max > std::numeric_limits<int16_t>::max() ? std::numeric_limits<int16_t>::max() : clamp_max; } TosaSerializationOperator* rescaleOp = nullptr; @@ -101,8 +136,8 @@ TosaSerializationBasicBlock* ConvertReluToTosaOperator(const Layer* layer, inputDType0, {})); } - - TosaClampAttribute attribute(clamp_min, clamp_max, 0, std::numeric_limits<float>::max()); + + TosaClampAttribute attribute(clamp_min, clamp_max, 0, float_max); auto* clamp_op = new TosaSerializationOperator(Op_CLAMP, Attribute_ClampAttribute, &attribute, |