From bd18eab07a8f30492de1e462b1815189014cb8d5 Mon Sep 17 00:00:00 2001
From: Cathal Corbett <cathal.corbett@arm.com>
Date: Tue, 15 Nov 2022 12:56:16 +0000
Subject: IVGCVSW-7345 Add Pooling2d support to TOSA Reference Backend

Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I73a47e513fe2d064ef233b121a68ef2edf0396dc
---
 .../AvgPool2DIgnoreValueOperator.cpp               | 107 +++++++++++++++++++++
 1 file changed, 107 insertions(+)
 create mode 100644 src/backends/tosaCommon/operatorMappings/AvgPool2DIgnoreValueOperator.cpp

(limited to 'src/backends/tosaCommon/operatorMappings/AvgPool2DIgnoreValueOperator.cpp')

diff --git a/src/backends/tosaCommon/operatorMappings/AvgPool2DIgnoreValueOperator.cpp b/src/backends/tosaCommon/operatorMappings/AvgPool2DIgnoreValueOperator.cpp
new file mode 100644
index 0000000000..b3d2687c30
--- /dev/null
+++ b/src/backends/tosaCommon/operatorMappings/AvgPool2DIgnoreValueOperator.cpp
@@ -0,0 +1,107 @@
+//
+// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
+// SPDX-License-Identifier: MIT
+//
+
+#include "Pooling2DOperator.hpp"
+
+TosaSerializationBasicBlock* ConvertAvgPool2DIgnoreValueToTosaOperator(const std::vector<const TensorInfo*>& inputs,
+                                                                       const std::vector<const TensorInfo*>& outputs,
+                                                                       bool isMain,
+                                                                       const Pooling2dDescriptor* poolDescriptor)
+{
+
+    // A helper function with static global variables ensures uniqueness
+    // for dynamically generating input, output and block names
+    std::string padInputName   = std::string("Op_PAD_input0_")  + GetUniqueTosaMappingID();
+    std::string padOutputName  = std::string("Op_PAD_intermediate0_")  + GetUniqueTosaMappingID();
+    std::string poolOutputName = std::string("Op_AVG_POOL2D_output0_") + GetUniqueTosaMappingID();
+    std::string blockName      = std::string("Op_AVG_POOL2D_block_")   + GetUniqueTosaMappingID();
+
+    // If it's the first block, overwrite block name with main.
+    if (isMain)
+    {
+        blockName = std::string("main");
+    }
+
+    std::vector<int> paddings;
+    if (poolDescriptor->m_DataLayout == DataLayout::NHWC)
+    {
+        paddings = {0,
+                    0,
+                    static_cast<int>(poolDescriptor->m_PadTop),
+                    static_cast<int>(poolDescriptor->m_PadBottom),
+                    static_cast<int>(poolDescriptor->m_PadLeft),
+                    static_cast<int>(poolDescriptor->m_PadRight),
+                    0,
+                    0
+        };
+    }
+    else
+    {
+        paddings = {0,
+                    0,
+                    0,
+                    0,
+                    static_cast<int>(poolDescriptor->m_PadTop),
+                    static_cast<int>(poolDescriptor->m_PadBottom),
+                    static_cast<int>(poolDescriptor->m_PadLeft),
+                    static_cast<int>(poolDescriptor->m_PadRight)
+        };
+    }
+
+    TosaPadAttribute padAttribute(paddings, 0, 0.0f);
+    TosaSerializationOperator* opPad = new TosaSerializationOperator(Op_PAD,
+                                                                     Attribute_PadAttribute,
+                                                                     &padAttribute,
+                                                                     {padInputName},
+                                                                     {padOutputName});
+
+    std::vector<int> pad    = {0, 0, 0, 0};
+    std::vector<int> kernel = {static_cast<int>(poolDescriptor->m_PoolHeight),
+                               static_cast<int>(poolDescriptor->m_PoolWidth)};
+    std::vector<int> stride = {static_cast<int>(poolDescriptor->m_StrideY),
+                               static_cast<int>(poolDescriptor->m_StrideX)};
+    TosaPoolAttribute poolAttribute(pad, kernel, stride, 0, 0, ArmNNToDType(inputs[0]->GetDataType()));
+
+    TosaSerializationOperator* opPool = new TosaSerializationOperator(Op_AVG_POOL2D,
+                                                                      Attribute_PoolAttribute,
+                                                                      &poolAttribute,
+                                                                      {padOutputName},
+                                                                      {poolOutputName});
+
+    std::vector<int32_t> inputShape = GetTosaTensorShape(inputs[0]->GetShape());
+    DType inputDType = ArmNNToDType(inputs[0]->GetDataType());
+
+    std::vector<int32_t> outputShape = GetTosaTensorShape(outputs[0]->GetShape());
+    DType outputDType = ArmNNToDType(outputs[0]->GetDataType());
+
+    std::vector<int32_t> intermediateShape;
+    if (poolDescriptor->m_DataLayout == DataLayout::NHWC)
+    {
+        intermediateShape = {inputShape[0],
+                             inputShape[1] + paddings[2] + paddings[3],
+                             inputShape[2] + paddings[4] + paddings[5],
+                             inputShape[3]};
+    }
+    else
+    {
+        intermediateShape = {inputShape[0],
+                             inputShape[1],
+                             inputShape[2] + paddings[4] + paddings[5],
+                             inputShape[3] + paddings[6] + paddings[7]};
+    }
+
+    TosaSerializationTensor* inputTensor  = new TosaSerializationTensor(padInputName, inputShape, inputDType, {});
+    TosaSerializationTensor* intermediateTensor  = new TosaSerializationTensor(
+        padOutputName, intermediateShape, inputDType, {});
+    TosaSerializationTensor* outputTensor = new TosaSerializationTensor(poolOutputName, outputShape, outputDType, {});
+
+    // operatorInputNames/operatorOutputNames ends up being the same as
+    // blockInputNames/blockOutputNames for one-to-one ArmNN to Tosa mappings
+    return new TosaSerializationBasicBlock(blockName, // name
+                                           {opPad, opPool}, // operators
+                                           {inputTensor, intermediateTensor, outputTensor}, // tensors
+                                           {padInputName}, // inputs
+                                           {poolOutputName}); // outputs
+}
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