From 16dddd2af57a71ca10d62a4412d014f859720d2c Mon Sep 17 00:00:00 2001 From: Sheri Zhang Date: Wed, 27 May 2020 15:03:48 +0100 Subject: COMPMID-3381: Implement graph example for YoLo v3 output detector Add sub/exp/splitv support in graph api Signed-off-by: Sheri Zhang Change-Id: I4e08cc19a46655717068b12c93d67e619a595d9a Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3309 Reviewed-by: Georgios Pinitas Tested-by: Arm Jenkins Comments-Addressed: Arm Jenkins --- arm_compute/graph/backends/ValidateHelpers.h | 73 ++++++++++++++++++++++++++++ 1 file changed, 73 insertions(+) (limited to 'arm_compute/graph/backends/ValidateHelpers.h') diff --git a/arm_compute/graph/backends/ValidateHelpers.h b/arm_compute/graph/backends/ValidateHelpers.h index 673caf9eac..d689c1f89d 100644 --- a/arm_compute/graph/backends/ValidateHelpers.h +++ b/arm_compute/graph/backends/ValidateHelpers.h @@ -579,6 +579,79 @@ Status validate_yolo_layer(YOLOLayerNode &node) // Validate function return YOLOLayer::validate(input, output, node.activation_info(), node.num_classes()); } +/** Validates a element-wise layer node + * + * @param[in] node Node to validate + * + * @return Status + */ +template +Status validate_eltwise_Layer(EltwiseLayerNode &node) +{ + ARM_COMPUTE_LOG_GRAPH_VERBOSE("Validating EltwiseLayer node with ID : " << node.id() << " and Name: " << node.name() << std::endl); + ARM_COMPUTE_RETURN_ERROR_ON(node.num_inputs() != 2); + ARM_COMPUTE_RETURN_ERROR_ON(node.num_outputs() != 1); + + // Extract input and output + const arm_compute::ITensorInfo *input1 = detail::get_backing_tensor_info(node.input(0)); + const arm_compute::ITensorInfo *input2 = detail::get_backing_tensor_info(node.input(1)); + const arm_compute::ITensorInfo *output = get_backing_tensor_info(node.output(0)); + const EltwiseOperation eltwise_op = node.eltwise_operation(); + const ConvertPolicy convert_policy = node.convert_policy(); + const RoundingPolicy round_policy = node.rounding_policy(); + const ActivationLayerInfo act_info = node.fused_activation(); + const QuantizationInfo quant_info = node.output_quant_info(); + const float scale = (quant_info.scale().empty()) ? 1.0f : quant_info.scale()[0]; + + // Validate function + if(eltwise_op == EltwiseOperation::Add) + { + return EltwiseLayerFunctions::ArithmeticAddition::validate(input1, input2, output, convert_policy, act_info); + } + else if(eltwise_op == EltwiseOperation::Sub) + { + return EltwiseLayerFunctions::ArithmeticSubtraction::validate(input1, input2, output, convert_policy, act_info); + } + else if(eltwise_op == EltwiseOperation::Mul) + { + return EltwiseLayerFunctions::PixelWiseMultiplication::validate(input1, input2, output, scale, convert_policy, round_policy, act_info); + } + else + { + ARM_COMPUTE_ERROR("Unsupported element-wise operation!"); + } + return Status{}; +} +/** Validates a unary element-wise layer node + * + * @param[in] node Node to validate + * + * @return Status + */ +template +Status validate_unary_eltwise_layer(UnaryEltwiseLayerNode &node) +{ + ARM_COMPUTE_LOG_GRAPH_VERBOSE("Validating EltwiseLayer node with ID : " << node.id() << " and Name: " << node.name() << std::endl); + ARM_COMPUTE_RETURN_ERROR_ON(node.num_inputs() != 1); + ARM_COMPUTE_RETURN_ERROR_ON(node.num_outputs() != 1); + + // Extract input and output + arm_compute::ITensorInfo *input = detail::get_backing_tensor_info(node.input(0)); + arm_compute::ITensorInfo *output = get_backing_tensor_info(node.output(0)); + const UnaryEltwiseOperation eltwise_op = node.eltwise_descriptor().op; + + // Validate function + if(eltwise_op == UnaryEltwiseOperation::Exp) + { + return UnaryEltwiseLayerFunctions::ExpLayer::validate(input, output); + } + else + { + ARM_COMPUTE_ERROR("Unsupported unary element-wise operation!"); + } + + return Status{}; +} } // namespace detail } // namespace backends } // namespace graph -- cgit v1.2.1