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//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "SharedFunctions.hpp"
#include <OpaqueDelegateUtils.hpp>
namespace armnnOpaqueDelegate
{
TfLiteStatus ValidateFloorOperator(DelegateData& delegateData,
TfLiteOpaqueContext* tfLiteContext,
const armnn::TensorInfo& inputTensorInfo,
const armnn::TensorInfo& outputTensorInfo)
{
bool isSupported = false;
auto validateFunc = [&](const armnn::TensorInfo& outInfo, bool& isSupported)
{
FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("FLOOR",
tfLiteContext,
IsFloorSupported,
delegateData.m_Backends,
isSupported,
armnn::BackendId(),
inputTensorInfo,
outInfo);
};
validateFunc(outputTensorInfo, isSupported);
return isSupported ? kTfLiteOk : kTfLiteError;
}
TfLiteStatus ValidateFusedActivationOperator(DelegateData& delegateData,
TfLiteOpaqueContext* tfLiteContext,
const armnn::TensorInfo& inputInfo,
const armnn::TensorInfo& outputInfo,
TfLiteFusedActivation activationType)
{
armnn::ActivationDescriptor activationDesc;
switch (activationType)
{
case kTfLiteActNone:
{
// No Activation
return kTfLiteOk;
}
case kTfLiteActRelu:
{
activationDesc.m_Function = armnn::ActivationFunction::ReLu;
break;
}
case kTfLiteActReluN1To1:
{
activationDesc.m_Function = armnn::ActivationFunction::BoundedReLu;
activationDesc.m_A = 1.0f;
activationDesc.m_B = -1.0f;
break;
}
case kTfLiteActRelu6:
{
activationDesc.m_Function = armnn::ActivationFunction::BoundedReLu;
activationDesc.m_A = 6.0f;
activationDesc.m_B = 0.0f;
break;
}
case kTfLiteActSigmoid:
{
activationDesc.m_Function = armnn::ActivationFunction::Sigmoid;
break;
}
case kTfLiteActTanh:
{
activationDesc.m_Function = armnn::ActivationFunction::TanH;
activationDesc.m_A = 1.0f;
activationDesc.m_B = 1.0f;
break;
}
default:
return kTfLiteError;
}
bool isSupported = false;
armnn::BackendId setBackend;
auto validateFunc = [&](const armnn::TensorInfo& outputInfo, bool& isSupported)
{
FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("ACTIVATION",
tfLiteContext,
IsActivationSupported,
delegateData.m_Backends,
isSupported,
armnn::BackendId(),
inputInfo,
outputInfo,
activationDesc);
};
validateFunc(outputInfo, isSupported);
return isSupported ? kTfLiteOk : kTfLiteError;
}
TfLiteOpaqueNode* GetNodeConnectedToInput(TfLiteOpaqueContext* tfLiteContext,
int32_t& connectedIndex,
int32_t inputIdx)
{
TfLiteIntArray* executionPlan = nullptr;
if (TfLiteOpaqueContextGetExecutionPlan(tfLiteContext, &executionPlan) != kTfLiteOk)
{
TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(tfLiteContext, "TfLiteArmnnDelegate: Unable to get graph execution plan.");
return nullptr;
}
for (int i = 0; i < executionPlan->size; ++i)
{
connectedIndex = executionPlan->data[i];
// If TfLite nodes can be delegated to ArmNN
TfLiteOpaqueNode* connectedNode = nullptr;
TfLiteRegistrationExternal* tfLiteRegistration = nullptr;
if (TfLiteOpaqueContextGetNodeAndRegistration(
tfLiteContext, connectedIndex, &connectedNode, &tfLiteRegistration) != kTfLiteOk)
{
TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(tfLiteContext,
"TfLiteArmnnOpaqueDelegate: Unable to get node and registration for node "
"%d.", connectedIndex);
continue;
}
int numOutputs = 0;
const int* outputTensors;
if (TfLiteOpaqueNodeOutputs(connectedNode, &outputTensors, &numOutputs) != kTfLiteOk)
{
TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
tfLiteContext,
"TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ",
connectedIndex);
continue;
}
for (int j= 0; j < numOutputs; ++j)
{
if (outputTensors[j] == inputIdx)
{
return connectedNode;
}
}
}
// No node found so set connectedIndex to -1
connectedIndex = -1;
return nullptr;
}
bool WillInputBeOptimizedToConst(TfLiteOpaqueContext* tfLiteContext, int32_t inputIdx)
{
int32_t connectedIndex;
TfLiteOpaqueNode* connectedNode = GetNodeConnectedToInput(tfLiteContext, connectedIndex, inputIdx);
if (connectedNode)
{
TfLiteRegistrationExternal* tfLiteRegistration = nullptr;
if (TfLiteOpaqueContextGetNodeAndRegistration(tfLiteContext, connectedIndex, &connectedNode,
&tfLiteRegistration) == kTfLiteOk)
{
switch (TfLiteRegistrationExternalGetBuiltInCode(tfLiteRegistration))
{
case kTfLiteBuiltinDequantize:
{
auto numInputs = TfLiteOpaqueNodeNumberOfInputs(connectedNode);
if (numInputs >= 1)
{
const int* inputTensors;
if (TfLiteOpaqueNodeInputs(connectedNode, &inputTensors, &numInputs) != kTfLiteOk)
{
TF_LITE_OPAQUE_MAYBE_KERNEL_LOG(
tfLiteContext,
"TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ",
connectedIndex);
return kTfLiteError;
}
const TfLiteOpaqueTensor* tfLiteInputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext,
inputTensors[0]);
// If the input to the Dequantize is a Constant then both that Constant layer and the Dequantize
// layer will be replaced by a single Constant layer containing the dequantized values.
if (IsConstantTensor(tfLiteInputTensor))
{
return true;
}
}
break;
}
default:
{
}
}
}
}
return false;
}
} // namespace armnnDelegate
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