IVGCVSW-3567 Add more verbose logging to conversion methods
Signed-off-by: Aron Virginas-Tar <[email protected]>
Change-Id: If1ce2aff656ff995f41d33777cdc6fb966392cca
diff --git a/1.0/HalPolicy.cpp b/1.0/HalPolicy.cpp
index a2c8252..b9200f1 100644
--- a/1.0/HalPolicy.cpp
+++ b/1.0/HalPolicy.cpp
@@ -27,11 +27,9 @@
case V1_0::OperationType::CONCATENATION:
return ConvertConcatenation(operation, model, data);
case V1_0::OperationType::CONV_2D:
- return ValidateConv2dParameters(operation) &&
- ConvertConv2d<hal_1_0::HalPolicy>(operation, model, data);
+ return ConvertConv2d(operation, model, data);
case V1_0::OperationType::DEPTHWISE_CONV_2D:
- return ValidateDepthwiseConv2dParameters(operation) &&
- ConvertDepthwiseConv2d<hal_1_0::HalPolicy>(operation, model, data);
+ return ConvertDepthwiseConv2d(operation, model, data);
case V1_0::OperationType::DEQUANTIZE:
return ConvertDequantize(operation, model, data);
case V1_0::OperationType::FLOOR:
@@ -94,6 +92,8 @@
bool HalPolicy::ConvertAdd(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertAdd()");
+
LayerInputHandle input0 = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
LayerInputHandle input1 = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 1, model, data);
@@ -150,11 +150,14 @@
bool HalPolicy::ConvertAveragePool2d(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertAveragePool2d()");
return ConvertPooling2d<hal_1_0::HalPolicy>(operation, __func__, armnn::PoolingAlgorithm::Average, model, data);
}
bool HalPolicy::ConvertConcatenation(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertConcatenation()");
+
// The first N (0..N-1) inputs are tensors. The Nth input is the concatenation axis.
if (operation.inputs.size() <= 1)
{
@@ -382,10 +385,24 @@
return SetupAndTrackLayerOutputSlot<hal_1_0::HalPolicy>(operation, 0, *layer, model, data);
}
+bool HalPolicy::ConvertConv2d(const Operation& operation, const Model& model, ConversionData& data)
+{
+ ALOGV("hal_1_0::HalPolicy::ConvertConv2d()");
+ return ValidateConv2dParameters(operation) && ::ConvertConv2d<hal_1_0::HalPolicy>(operation, model, data);
+}
+
+bool HalPolicy::ConvertDepthwiseConv2d(const Operation& operation, const Model& model, ConversionData& data)
+{
+ ALOGV("hal_1_0::HalPolicy::ConvertDepthwiseConv2d()");
+ return ValidateDepthwiseConv2dParameters(operation) &&
+ ::ConvertDepthwiseConv2d<hal_1_0::HalPolicy>(operation, model, data);
+}
+
bool HalPolicy::ConvertDequantize(const Operation& operation, const Model& model, ConversionData& data)
{
- LayerInputHandle input = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
+ ALOGV("hal_1_0::HalPolicy::ConvertDequantize()");
+ LayerInputHandle input = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
if (!input.IsValid())
{
return Fail("%s: Operation has invalid input", __func__);
@@ -430,6 +447,8 @@
bool HalPolicy::ConvertFloor(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertFloor()");
+
LayerInputHandle input = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
if (!input.IsValid())
{
@@ -463,6 +482,8 @@
bool HalPolicy::ConvertFullyConnected(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertFullyConnected()");
+
LayerInputHandle input = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
if (!input.IsValid())
{
@@ -573,6 +594,8 @@
const Model& model,
ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertLocalResponseNormalization()");
+
LayerInputHandle input = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
if (!input.IsValid())
{
@@ -630,6 +653,8 @@
bool HalPolicy::ConvertLogistic(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertLogistic()");
+
armnn::ActivationDescriptor desc;
desc.m_Function = armnn::ActivationFunction::Sigmoid;
@@ -638,6 +663,8 @@
bool HalPolicy::ConvertLstm(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertLstm()");
+
// Inputs:
// 00: The input: A 2-D tensor of ANEURALNETWORKS_TENSOR_FLOAT32, of shape [batch_size, input_size], where
// “batch_size” corresponds to the batching dimension, and “input_size” is the size of the input.
@@ -990,6 +1017,8 @@
bool HalPolicy::ConvertL2Normalization(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertL2Normalization()");
+
LayerInputHandle input = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
if (!input.IsValid())
{
@@ -1041,16 +1070,20 @@
bool HalPolicy::ConvertL2Pool2d(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertL2Pool2d()");
return ConvertPooling2d<hal_1_0::HalPolicy>(operation, __func__, armnn::PoolingAlgorithm::L2, model, data);
}
bool HalPolicy::ConvertMaxPool2d(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertMaxPool2d()");
return ConvertPooling2d<hal_1_0::HalPolicy>(operation, __func__, armnn::PoolingAlgorithm::Max, model, data);
}
bool HalPolicy::ConvertMul(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertMul()");
+
LayerInputHandle input0 = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
LayerInputHandle input1 = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 1, model, data);
@@ -1108,6 +1141,8 @@
bool HalPolicy::ConvertReLu(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertReLu()");
+
armnn::ActivationDescriptor desc;
desc.m_Function = armnn::ActivationFunction::ReLu;
@@ -1116,6 +1151,8 @@
bool HalPolicy::ConvertReLu1(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertReLu1()");
+
armnn::ActivationDescriptor desc;
desc.m_Function = armnn::ActivationFunction::BoundedReLu;
desc.m_A = 1.0f;
@@ -1126,6 +1163,8 @@
bool HalPolicy::ConvertReLu6(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertReLu6()");
+
armnn::ActivationDescriptor desc;
desc.m_Function = armnn::ActivationFunction::BoundedReLu;
desc.m_A = 6.0f;
@@ -1135,6 +1174,8 @@
bool HalPolicy::ConvertSoftmax(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertSoftmax()");
+
LayerInputHandle input = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
if (!input.IsValid())
{
@@ -1187,8 +1228,9 @@
bool HalPolicy::ConvertSpaceToDepth(const Operation& operation, const Model& model, ConversionData& data)
{
- LayerInputHandle input = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
+ ALOGV("hal_1_0::HalPolicy::ConvertSpaceToDepth()");
+ LayerInputHandle input = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
if (!input.IsValid() )
{
return Fail("%s: Operation has invalid inputs", __func__);
@@ -1242,6 +1284,8 @@
bool HalPolicy::ConvertTanH(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertTanH()");
+
armnn::ActivationDescriptor desc;
desc.m_Function = armnn::ActivationFunction::TanH;
desc.m_A = 1.0f; // android nn does not support tanH parameters
@@ -1252,6 +1296,8 @@
bool HalPolicy::ConvertReshape(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertReshape()");
+
const Operand* inputOperand = GetInputOperand<hal_1_0::HalPolicy>(operation, 0, model);
const Operand* requestedShapeOperand = GetInputOperand<hal_1_0::HalPolicy>(operation, 1, model);
const Operand* outputOperand = GetOutputOperand<hal_1_0::HalPolicy>(operation, 0, model);
@@ -1323,6 +1369,8 @@
bool HalPolicy::ConvertResizeBilinear(const Operation& operation, const Model& model, ConversionData& data)
{
+ ALOGV("hal_1_0::HalPolicy::ConvertResizeBilinear()");
+
LayerInputHandle input = ConvertToLayerInputHandle<hal_1_0::HalPolicy>(operation, 0, model, data);
if (!input.IsValid())
{
