aboutsummaryrefslogtreecommitdiff
path: root/src/runtime/NEON/functions
diff options
context:
space:
mode:
authorramelg01 <ramy.elgammal@arm.com>2021-09-17 17:36:57 +0100
committerramy.elgammal <ramy.elgammal@arm.com>2021-09-22 09:44:25 +0000
commitcbbb03813b79b7f0274b18436a78a79ff31e469e (patch)
treea80e529e419ddff1ef2f5fa72dfa37d29bf53977 /src/runtime/NEON/functions
parent3ae3d88c1a305ef4fc0beed8fda3cfc39ddb2ae8 (diff)
downloadComputeLibrary-cbbb03813b79b7f0274b18436a78a79ff31e469e.tar.gz
Provide logging for configure functions in all NEON functions
Partially Resolves: COMPMID-4718 Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com> Change-Id: I655268c57fa126d9c99981c49d345a3aac75646e Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6286 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com> Reviewed-by: SiCong Li <sicong.li@arm.com>
Diffstat (limited to 'src/runtime/NEON/functions')
-rw-r--r--src/runtime/NEON/functions/NEArgMinMaxLayer.cpp4
-rw-r--r--src/runtime/NEON/functions/NEBatchNormalizationLayer.cpp4
-rw-r--r--src/runtime/NEON/functions/NEBatchToSpaceLayer.cpp4
-rw-r--r--src/runtime/NEON/functions/NEBitwiseAnd.cpp5
-rw-r--r--src/runtime/NEON/functions/NEBitwiseNot.cpp5
-rw-r--r--src/runtime/NEON/functions/NEBitwiseOr.cpp5
-rw-r--r--src/runtime/NEON/functions/NEBitwiseXor.cpp5
-rw-r--r--src/runtime/NEON/functions/NEBoundingBoxTransform.cpp4
-rw-r--r--src/runtime/NEON/functions/NECast.cpp3
-rw-r--r--src/runtime/NEON/functions/NEChannelShuffleLayer.cpp4
-rw-r--r--src/runtime/NEON/functions/NEConvolutionLayer.cpp2
-rw-r--r--src/runtime/NEON/functions/NECropResize.cpp2
-rw-r--r--src/runtime/NEON/functions/NEDeconvolutionLayer.cpp2
-rw-r--r--src/runtime/NEON/functions/NEDepthToSpaceLayer.cpp5
-rw-r--r--src/runtime/NEON/functions/NEDepthwiseConvolutionLayer.cpp3
-rw-r--r--src/runtime/NEON/functions/NEDetectionPostProcessLayer.cpp4
-rw-r--r--src/runtime/NEON/functions/NEFFT1D.cpp4
-rw-r--r--src/runtime/NEON/functions/NEFFT2D.cpp2
-rw-r--r--src/runtime/NEON/functions/NEFFTConvolutionLayer.cpp2
-rw-r--r--src/runtime/NEON/functions/NEFillBorder.cpp4
-rw-r--r--src/runtime/NEON/functions/NEFullyConnectedLayer.cpp2
-rw-r--r--src/runtime/NEON/functions/NEFuseBatchNormalization.cpp6
-rw-r--r--src/runtime/NEON/functions/NEGather.cpp5
-rw-r--r--src/runtime/NEON/functions/NEGenerateProposalsLayer.cpp2
-rw-r--r--src/runtime/NEON/functions/NEInstanceNormalizationLayer.cpp5
-rw-r--r--src/runtime/NEON/functions/NEL2NormalizeLayer.cpp5
-rw-r--r--src/runtime/NEON/functions/NELSTMLayer.cpp8
-rw-r--r--src/runtime/NEON/functions/NELSTMLayerQuantized.cpp5
-rw-r--r--src/runtime/NEON/functions/NELogical.cpp4
-rw-r--r--src/runtime/NEON/functions/NEMaxUnpoolingLayer.cpp3
-rw-r--r--src/runtime/NEON/functions/NEMeanStdDevNormalizationLayer.cpp6
-rw-r--r--src/runtime/NEON/functions/NENormalizationLayer.cpp4
-rw-r--r--src/runtime/NEON/functions/NEPadLayer.cpp2
-rw-r--r--src/runtime/NEON/functions/NEPriorBoxLayer.cpp5
-rw-r--r--src/runtime/NEON/functions/NEQLSTMLayer.cpp7
-rw-r--r--src/runtime/NEON/functions/NERNNLayer.cpp2
-rw-r--r--src/runtime/NEON/functions/NEROIAlignLayer.cpp5
-rw-r--r--src/runtime/NEON/functions/NEROIPoolingLayer.cpp3
-rw-r--r--src/runtime/NEON/functions/NERange.cpp4
-rw-r--r--src/runtime/NEON/functions/NEReduceMean.cpp5
-rw-r--r--src/runtime/NEON/functions/NEReductionOperation.cpp4
-rw-r--r--src/runtime/NEON/functions/NERemap.cpp2
-rw-r--r--src/runtime/NEON/functions/NEReorgLayer.cpp6
-rw-r--r--src/runtime/NEON/functions/NEReverse.cpp6
-rw-r--r--src/runtime/NEON/functions/NEScale.cpp3
-rw-r--r--src/runtime/NEON/functions/NESelect.cpp5
-rw-r--r--src/runtime/NEON/functions/NESlice.cpp4
-rw-r--r--src/runtime/NEON/functions/NESpaceToBatchLayer.cpp2
-rw-r--r--src/runtime/NEON/functions/NESpaceToDepthLayer.cpp5
-rw-r--r--src/runtime/NEON/functions/NEStackLayer.cpp5
-rw-r--r--src/runtime/NEON/functions/NEStridedSlice.cpp5
-rw-r--r--src/runtime/NEON/functions/NETile.cpp6
-rw-r--r--src/runtime/NEON/functions/NETranspose.cpp2
-rw-r--r--src/runtime/NEON/functions/NEUnstack.cpp4
54 files changed, 186 insertions, 34 deletions
diff --git a/src/runtime/NEON/functions/NEArgMinMaxLayer.cpp b/src/runtime/NEON/functions/NEArgMinMaxLayer.cpp
index 7bca20d46c..3876ae6e87 100644
--- a/src/runtime/NEON/functions/NEArgMinMaxLayer.cpp
+++ b/src/runtime/NEON/functions/NEArgMinMaxLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -29,6 +29,7 @@
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEReductionOperationKernel.h"
namespace arm_compute
@@ -42,6 +43,7 @@ NEArgMinMaxLayer::NEArgMinMaxLayer(std::shared_ptr<IMemoryManager> memory_manage
}
void NEArgMinMaxLayer::configure(ITensor *input, int axis, ITensor *output, const ReductionOperation &op)
{
+ ARM_COMPUTE_LOG_PARAMS(input, axis, output, op);
_reduction_function->configure(input, output, axis, op, false);
}
diff --git a/src/runtime/NEON/functions/NEBatchNormalizationLayer.cpp b/src/runtime/NEON/functions/NEBatchNormalizationLayer.cpp
index b90a38b47f..db49f4c1a0 100644
--- a/src/runtime/NEON/functions/NEBatchNormalizationLayer.cpp
+++ b/src/runtime/NEON/functions/NEBatchNormalizationLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -29,6 +29,7 @@
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEBatchNormalizationLayerKernel.h"
namespace arm_compute
@@ -43,6 +44,7 @@ NEBatchNormalizationLayer::NEBatchNormalizationLayer()
void NEBatchNormalizationLayer::configure(ITensor *input, ITensor *output, const ITensor *mean, const ITensor *var, const ITensor *beta, const ITensor *gamma, float epsilon,
ActivationLayerInfo act_info)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, mean, var, beta, gamma, epsilon, act_info);
// Configure kernel
_norm_kernel = std::make_unique<NEBatchNormalizationLayerKernel>();
_norm_kernel->configure(input, output, mean, var, beta, gamma, epsilon, act_info);
diff --git a/src/runtime/NEON/functions/NEBatchToSpaceLayer.cpp b/src/runtime/NEON/functions/NEBatchToSpaceLayer.cpp
index 8f537a650a..5a2e37a517 100644
--- a/src/runtime/NEON/functions/NEBatchToSpaceLayer.cpp
+++ b/src/runtime/NEON/functions/NEBatchToSpaceLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -28,12 +28,14 @@
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEBatchToSpaceLayerKernel.h"
namespace arm_compute
{
void NEBatchToSpaceLayer::configure(const ITensor *input, const ITensor *block_shape, ITensor *output)
{
+ ARM_COMPUTE_LOG_PARAMS(input, block_shape, output);
auto k = std::make_unique<NEBatchToSpaceLayerKernel>();
k->configure(input, block_shape, output);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NEBitwiseAnd.cpp b/src/runtime/NEON/functions/NEBitwiseAnd.cpp
index 81c087988a..90eb72706e 100644
--- a/src/runtime/NEON/functions/NEBitwiseAnd.cpp
+++ b/src/runtime/NEON/functions/NEBitwiseAnd.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,12 +25,15 @@
#include "src/core/NEON/kernels/NEBitwiseAndKernel.h"
+#include "src/common/utils/Log.h"
+
#include <utility>
using namespace arm_compute;
void NEBitwiseAnd::configure(const ITensor *input1, const ITensor *input2, ITensor *output)
{
+ ARM_COMPUTE_LOG_PARAMS(input1, input2, output);
auto k = std::make_unique<NEBitwiseAndKernel>();
k->configure(input1, input2, output);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NEBitwiseNot.cpp b/src/runtime/NEON/functions/NEBitwiseNot.cpp
index 3155df5db3..69e5288b88 100644
--- a/src/runtime/NEON/functions/NEBitwiseNot.cpp
+++ b/src/runtime/NEON/functions/NEBitwiseNot.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,12 +25,15 @@
#include "src/core/NEON/kernels/NEBitwiseNotKernel.h"
+#include "src/common/utils/Log.h"
+
#include <utility>
using namespace arm_compute;
void NEBitwiseNot::configure(const ITensor *input, ITensor *output)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output);
auto k = std::make_unique<NEBitwiseNotKernel>();
k->configure(input, output);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NEBitwiseOr.cpp b/src/runtime/NEON/functions/NEBitwiseOr.cpp
index 793eb25d80..0b19e919ee 100644
--- a/src/runtime/NEON/functions/NEBitwiseOr.cpp
+++ b/src/runtime/NEON/functions/NEBitwiseOr.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,12 +25,15 @@
#include "src/core/NEON/kernels/NEBitwiseOrKernel.h"
+#include "src/common/utils/Log.h"
+
#include <utility>
using namespace arm_compute;
void NEBitwiseOr::configure(const ITensor *input1, const ITensor *input2, ITensor *output)
{
+ ARM_COMPUTE_LOG_PARAMS(input1, input2, output);
auto k = std::make_unique<NEBitwiseOrKernel>();
k->configure(input1, input2, output);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NEBitwiseXor.cpp b/src/runtime/NEON/functions/NEBitwiseXor.cpp
index 2d0af63e35..cc9df9f1c4 100644
--- a/src/runtime/NEON/functions/NEBitwiseXor.cpp
+++ b/src/runtime/NEON/functions/NEBitwiseXor.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,12 +25,15 @@
#include "src/core/NEON/kernels/NEBitwiseXorKernel.h"
+#include "src/common/utils/Log.h"
+
#include <utility>
using namespace arm_compute;
void NEBitwiseXor::configure(const ITensor *input1, const ITensor *input2, ITensor *output)
{
+ ARM_COMPUTE_LOG_PARAMS(input1, input2, output);
auto k = std::make_unique<NEBitwiseXorKernel>();
k->configure(input1, input2, output);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NEBoundingBoxTransform.cpp b/src/runtime/NEON/functions/NEBoundingBoxTransform.cpp
index cfd14faca0..af00171be6 100644
--- a/src/runtime/NEON/functions/NEBoundingBoxTransform.cpp
+++ b/src/runtime/NEON/functions/NEBoundingBoxTransform.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -22,12 +22,14 @@
* SOFTWARE.
*/
#include "arm_compute/runtime/NEON/functions/NEBoundingBoxTransform.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEBoundingBoxTransformKernel.h"
namespace arm_compute
{
void NEBoundingBoxTransform::configure(const ITensor *boxes, ITensor *pred_boxes, const ITensor *deltas, const BoundingBoxTransformInfo &info)
{
+ ARM_COMPUTE_LOG_PARAMS(boxes, pred_boxes, deltas, info);
// Configure Bounding Box kernel
auto k = std::make_unique<NEBoundingBoxTransformKernel>();
k->configure(boxes, pred_boxes, deltas, info);
diff --git a/src/runtime/NEON/functions/NECast.cpp b/src/runtime/NEON/functions/NECast.cpp
index a39e639ad4..a58d4e5f69 100644
--- a/src/runtime/NEON/functions/NECast.cpp
+++ b/src/runtime/NEON/functions/NECast.cpp
@@ -24,6 +24,7 @@
#include "arm_compute/runtime/NEON/functions/NECast.h"
#include "arm_compute/core/Validate.h"
+#include "src/common/utils/Log.h"
#include "src/cpu/operators/CpuCast.h"
namespace arm_compute
@@ -49,7 +50,7 @@ void NECast::configure(ITensor *input, ITensor *output, ConvertPolicy policy)
_impl->dst = output;
ARM_COMPUTE_ERROR_ON_NULLPTR(_impl->src, _impl->dst);
-
+ ARM_COMPUTE_LOG_PARAMS(input, output, policy);
_impl->op = std::make_unique<cpu::CpuCast>();
_impl->op->configure(_impl->src->info(), _impl->dst->info(), policy);
}
diff --git a/src/runtime/NEON/functions/NEChannelShuffleLayer.cpp b/src/runtime/NEON/functions/NEChannelShuffleLayer.cpp
index bf4af83a0d..8b96fadb74 100644
--- a/src/runtime/NEON/functions/NEChannelShuffleLayer.cpp
+++ b/src/runtime/NEON/functions/NEChannelShuffleLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -24,12 +24,14 @@
#include "arm_compute/runtime/NEON/functions/NEChannelShuffleLayer.h"
#include "arm_compute/core/Types.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEChannelShuffleLayerKernel.h"
namespace arm_compute
{
void NEChannelShuffleLayer::configure(const ITensor *input, ITensor *output, unsigned int num_groups)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, num_groups);
auto k = std::make_unique<NEChannelShuffleLayerKernel>();
k->configure(input, output, num_groups);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NEConvolutionLayer.cpp b/src/runtime/NEON/functions/NEConvolutionLayer.cpp
index ca62a40cc8..317f463c29 100644
--- a/src/runtime/NEON/functions/NEConvolutionLayer.cpp
+++ b/src/runtime/NEON/functions/NEConvolutionLayer.cpp
@@ -27,6 +27,7 @@
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/functions/NEFFTConvolutionLayer.h"
+#include "src/common/utils/Log.h"
#include "src/core/helpers/MemoryHelpers.h"
#include "src/cpu/operators/CpuConv2d.h"
#include "src/cpu/operators/CpuDirectConv2d.h"
@@ -66,6 +67,7 @@ void NEConvolutionLayer::configure(ITensor *input, const ITensor *weights, const
ARM_COMPUTE_UNUSED(num_groups);
ARM_COMPUTE_ERROR_THROW_ON(NEConvolutionLayer::validate(input->info(), weights->info(), ((biases != nullptr) ? biases->info() : nullptr), output->info(), conv_info, weights_info, dilation, act_info,
enable_fast_math, num_groups));
+ ARM_COMPUTE_LOG_PARAMS(input, weights, biases, output, conv_info, weights_info, dilation, act_info, enable_fast_math, num_groups);
const Conv2dInfo info(conv_info, dilation, act_info, enable_fast_math, num_groups);
switch(cpu::CpuConv2d::get_convolution_method(input->info(), weights->info(), output->info(), conv_info, weights_info, dilation, act_info, enable_fast_math))
diff --git a/src/runtime/NEON/functions/NECropResize.cpp b/src/runtime/NEON/functions/NECropResize.cpp
index 1e1070d961..cca8b400ee 100644
--- a/src/runtime/NEON/functions/NECropResize.cpp
+++ b/src/runtime/NEON/functions/NECropResize.cpp
@@ -25,6 +25,7 @@
#include "arm_compute/runtime/NEON/functions/NECropResize.h"
#include "arm_compute/runtime/Tensor.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NECropKernel.h"
#include <cstddef>
@@ -60,6 +61,7 @@ void NECropResize::configure(const ITensor *input, const ITensor *boxes, const I
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_ERROR_THROW_ON(NECropResize::validate(input->info(), boxes->info(), box_ind->info(), output->info(), crop_size, method, extrapolation_value));
+ ARM_COMPUTE_LOG_PARAMS(input, boxes, box_ind, output, crop_size, method, extrapolation_value);
_num_boxes = boxes->info()->tensor_shape()[1];
TensorShape out_shape(input->info()->tensor_shape()[0], crop_size.x, crop_size.y);
diff --git a/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp b/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
index 712f41f369..e04c6467eb 100644
--- a/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
+++ b/src/runtime/NEON/functions/NEDeconvolutionLayer.cpp
@@ -28,6 +28,7 @@
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/helpers/AutoConfiguration.h"
using namespace arm_compute::misc::shape_calculator;
@@ -157,6 +158,7 @@ void NEDeconvolutionLayer::configure(ITensor *input, const ITensor *weights, con
// Perform validation step
ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output);
ARM_COMPUTE_ERROR_THROW_ON(NEDeconvolutionLayer::validate(input->info(), weights->info(), (bias == nullptr) ? nullptr : bias->info(), output->info(), info));
+ ARM_COMPUTE_LOG_PARAMS(input, weights, bias, output, info);
const DataLayout data_layout = input->info()->data_layout();
const unsigned int width_idx = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
diff --git a/src/runtime/NEON/functions/NEDepthToSpaceLayer.cpp b/src/runtime/NEON/functions/NEDepthToSpaceLayer.cpp
index 2793c3f27e..f4a8a17e05 100644
--- a/src/runtime/NEON/functions/NEDepthToSpaceLayer.cpp
+++ b/src/runtime/NEON/functions/NEDepthToSpaceLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -28,12 +28,15 @@
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEDepthToSpaceLayerKernel.h"
namespace arm_compute
{
void NEDepthToSpaceLayer::configure(const ITensor *input, ITensor *output, int32_t block_shape)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, block_shape);
+
auto k = std::make_unique<NEDepthToSpaceLayerKernel>();
k->configure(input, output, block_shape);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NEDepthwiseConvolutionLayer.cpp b/src/runtime/NEON/functions/NEDepthwiseConvolutionLayer.cpp
index ed6dec3850..fb6a2b08da 100644
--- a/src/runtime/NEON/functions/NEDepthwiseConvolutionLayer.cpp
+++ b/src/runtime/NEON/functions/NEDepthwiseConvolutionLayer.cpp
@@ -27,6 +27,7 @@
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/core/utils/quantization/AsymmHelpers.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/cpu/operators/CpuDepthwiseConv2d.h"
using namespace arm_compute::misc;
@@ -309,6 +310,8 @@ struct NEDepthwiseConvolutionLayer::NEDepthwiseConvolutionLayer::Impl
void NEDepthwiseConvolutionLayer::configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info, unsigned int depth_multiplier,
const ActivationLayerInfo &act_info, const Size2D &dilation)
{
+ ARM_COMPUTE_LOG_PARAMS(input, weights, output, conv_info, depth_multiplier, biases, act_info, dilation);
+
const ConvolutionInfo info{ conv_info, depth_multiplier, act_info, dilation };
_impl->op = std::make_shared<cpu::CpuDepthwiseConv2d>();
_impl->depth_conv_func = _impl->op->get_depthwiseconvolution_function(input->info(), weights->info(), (biases != nullptr) ? biases->info() : nullptr, output->info(),
diff --git a/src/runtime/NEON/functions/NEDetectionPostProcessLayer.cpp b/src/runtime/NEON/functions/NEDetectionPostProcessLayer.cpp
index 9e63800728..1da8b012b3 100644
--- a/src/runtime/NEON/functions/NEDetectionPostProcessLayer.cpp
+++ b/src/runtime/NEON/functions/NEDetectionPostProcessLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -26,6 +26,7 @@
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/Validate.h"
+#include "src/common/utils/Log.h"
#include <cstddef>
#include <ios>
@@ -45,6 +46,7 @@ void NEDetectionPostProcessLayer::configure(const ITensor *input_box_encoding, c
ARM_COMPUTE_ERROR_THROW_ON(NEDetectionPostProcessLayer::validate(input_box_encoding->info(), input_scores->info(), input_anchors->info(), output_boxes->info(), output_classes->info(),
output_scores->info(),
num_detection->info(), info));
+ ARM_COMPUTE_LOG_PARAMS(input_box_encoding, input_scores, input_anchors, output_boxes, output_classes, output_scores, num_detection, info);
const ITensor *input_scores_to_use = input_scores;
DetectionPostProcessLayerInfo info_to_use = info;
diff --git a/src/runtime/NEON/functions/NEFFT1D.cpp b/src/runtime/NEON/functions/NEFFT1D.cpp
index e72488f0f6..343b817eba 100644
--- a/src/runtime/NEON/functions/NEFFT1D.cpp
+++ b/src/runtime/NEON/functions/NEFFT1D.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -26,6 +26,7 @@
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEFFTDigitReverseKernel.h"
#include "src/core/NEON/kernels/NEFFTRadixStageKernel.h"
#include "src/core/NEON/kernels/NEFFTScaleKernel.h"
@@ -44,6 +45,7 @@ void NEFFT1D::configure(const ITensor *input, ITensor *output, const FFT1DInfo &
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_ERROR_THROW_ON(NEFFT1D::validate(input->info(), output->info(), config));
+ ARM_COMPUTE_LOG_PARAMS(input, output, config);
// Decompose size to radix factors
const auto supported_radix = NEFFTRadixStageKernel::supported_radix();
diff --git a/src/runtime/NEON/functions/NEFFT2D.cpp b/src/runtime/NEON/functions/NEFFT2D.cpp
index 5aaf587cdf..ab422bd2ae 100644
--- a/src/runtime/NEON/functions/NEFFT2D.cpp
+++ b/src/runtime/NEON/functions/NEFFT2D.cpp
@@ -26,6 +26,7 @@
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/Scheduler.h"
+#include "src/common/utils/Log.h"
namespace arm_compute
{
@@ -40,6 +41,7 @@ void NEFFT2D::configure(const ITensor *input, ITensor *output, const FFT2DInfo &
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_ERROR_THROW_ON(NEFFT2D::validate(input->info(), output->info(), config));
+ ARM_COMPUTE_LOG_PARAMS(input, output, config);
// Setup first pass
FFT1DInfo first_pass_config;
diff --git a/src/runtime/NEON/functions/NEFFTConvolutionLayer.cpp b/src/runtime/NEON/functions/NEFFTConvolutionLayer.cpp
index 56fc2e4a2b..0551d756fb 100644
--- a/src/runtime/NEON/functions/NEFFTConvolutionLayer.cpp
+++ b/src/runtime/NEON/functions/NEFFTConvolutionLayer.cpp
@@ -27,6 +27,7 @@
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEFFTDigitReverseKernel.h"
#include "src/core/NEON/kernels/NEFFTRadixStageKernel.h"
#include "src/core/NEON/kernels/NEFFTScaleKernel.h"
@@ -105,6 +106,7 @@ void NEFFTConvolutionLayer::configure(ITensor *input, const ITensor *weights, co
const ActivationLayerInfo &act_info, bool enable_fast_math)
{
ARM_COMPUTE_UNUSED(enable_fast_math);
+ ARM_COMPUTE_LOG_PARAMS(input, weights, biases, output, conv_info, act_info, enable_fast_math);
_original_weights = weights;
_original_bias = biases;
diff --git a/src/runtime/NEON/functions/NEFillBorder.cpp b/src/runtime/NEON/functions/NEFillBorder.cpp
index 256aad6d3f..d633e340f8 100644
--- a/src/runtime/NEON/functions/NEFillBorder.cpp
+++ b/src/runtime/NEON/functions/NEFillBorder.cpp
@@ -25,6 +25,7 @@
#include "arm_compute/core/Window.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEFillBorderKernel.h"
namespace arm_compute
@@ -36,6 +37,7 @@ NEFillBorder::NEFillBorder()
void NEFillBorder::configure(ITensor *input, unsigned int border_width, BorderMode border_mode, const PixelValue &constant_border_value)
{
+ ARM_COMPUTE_LOG_PARAMS(input, border_width, border_mode, constant_border_value);
_border_handler = std::make_unique<NEFillBorderKernel>();
_border_handler->configure(input, BorderSize(border_width), border_mode, constant_border_value);
}
@@ -44,4 +46,4 @@ void NEFillBorder::run()
{
NEScheduler::get().schedule(_border_handler.get(), Window::DimZ);
}
-} // namespace arm_compute \ No newline at end of file
+} // namespace arm_compute
diff --git a/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp b/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
index 3f55a1f34e..77028d96a2 100644
--- a/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
+++ b/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
@@ -27,6 +27,7 @@
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/MemoryGroup.h"
#include "arm_compute/runtime/NEON/functions/NEConvertFullyConnectedWeights.h"
+#include "src/common/utils/Log.h"
#include "src/core/helpers/MemoryHelpers.h"
#include "src/cpu/operators/CpuFullyConnected.h"
@@ -69,6 +70,7 @@ void NEFullyConnectedLayer::configure(const ITensor *input, const ITensor *weigh
biases != nullptr ? biases->info() : nullptr,
output->info(),
fc_info));
+ ARM_COMPUTE_LOG_PARAMS(input, weights, biases, output, fc_info);
_impl->op = std::make_unique<cpu::CpuFullyConnected>();
_impl->original_weights = weights;
diff --git a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
index a8ce6b2bfc..6612845d86 100644
--- a/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
+++ b/src/runtime/NEON/functions/NEFuseBatchNormalization.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -28,6 +28,7 @@
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEFuseBatchNormalizationKernel.h"
namespace arm_compute
@@ -44,6 +45,9 @@ void NEFuseBatchNormalization::configure(const ITensor *input_weights, const ITe
const ITensor *input_bias, const ITensor *bn_beta, const ITensor *bn_gamma,
float epsilon, FuseBatchNormalizationType fbn_type)
{
+ ARM_COMPUTE_LOG_PARAMS(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias,
+ bn_beta, bn_gamma, epsilon, fbn_type);
+
_fuse_bn_kernel = std::make_unique<NEFuseBatchNormalizationKernel>();
_fuse_bn_kernel->configure(input_weights, bn_mean, bn_var, fused_weights, fused_bias, input_bias, bn_beta, bn_gamma, epsilon, fbn_type);
}
diff --git a/src/runtime/NEON/functions/NEGather.cpp b/src/runtime/NEON/functions/NEGather.cpp
index 86cbfd187a..f5d19c769e 100644
--- a/src/runtime/NEON/functions/NEGather.cpp
+++ b/src/runtime/NEON/functions/NEGather.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,12 +25,15 @@
#include "src/core/NEON/kernels/NEGatherKernel.h"
+#include "src/common/utils/Log.h"
+
#include <utility>
namespace arm_compute
{
void NEGather::configure(const ITensor *input, const ITensor *indices, ITensor *output, int axis)
{
+ ARM_COMPUTE_LOG_PARAMS(input, indices, output, axis);
auto k = std::make_unique<NEGatherKernel>();
k->configure(input, indices, output, axis);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NEGenerateProposalsLayer.cpp b/src/runtime/NEON/functions/NEGenerateProposalsLayer.cpp
index 931fdb22f7..1c0e736766 100644
--- a/src/runtime/NEON/functions/NEGenerateProposalsLayer.cpp
+++ b/src/runtime/NEON/functions/NEGenerateProposalsLayer.cpp
@@ -25,6 +25,7 @@
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEFillBorderKernel.h"
#include "src/core/NEON/kernels/NEGenerateProposalsLayerKernel.h"
#include "src/core/NEON/kernels/NEPadLayerKernel.h"
@@ -72,6 +73,7 @@ void NEGenerateProposalsLayer::configure(const ITensor *scores, const ITensor *d
{
ARM_COMPUTE_ERROR_ON_NULLPTR(scores, deltas, anchors, proposals, scores_out, num_valid_proposals);
ARM_COMPUTE_ERROR_THROW_ON(NEGenerateProposalsLayer::validate(scores->info(), deltas->info(), anchors->info(), proposals->info(), scores_out->info(), num_valid_proposals->info(), info));
+ ARM_COMPUTE_LOG_PARAMS(scores, deltas, anchors, proposals, scores_out, num_valid_proposals, info);
_is_nhwc = scores->info()->data_layout() == DataLayout::NHWC;
const DataType scores_data_type = scores->info()->data_type();
diff --git a/src/runtime/NEON/functions/NEInstanceNormalizationLayer.cpp b/src/runtime/NEON/functions/NEInstanceNormalizationLayer.cpp
index 5965b9722f..822dcf491c 100644
--- a/src/runtime/NEON/functions/NEInstanceNormalizationLayer.cpp
+++ b/src/runtime/NEON/functions/NEInstanceNormalizationLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -26,6 +26,7 @@
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/KernelDescriptors.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEInstanceNormalizationLayerKernel.h"
namespace arm_compute
@@ -39,6 +40,8 @@ NEInstanceNormalizationLayer::NEInstanceNormalizationLayer(std::shared_ptr<IMemo
void NEInstanceNormalizationLayer::configure(ITensor *input, ITensor *output, float gamma, float beta, float epsilon)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, gamma, beta, epsilon);
+
const DataLayout data_layout = input->info()->data_layout();
const auto kernel_descriptor = InstanceNormalizationLayerKernelInfo{ gamma, beta, epsilon, true };
diff --git a/src/runtime/NEON/functions/NEL2NormalizeLayer.cpp b/src/runtime/NEON/functions/NEL2NormalizeLayer.cpp
index 505ee0a962..c3ecfb430f 100644
--- a/src/runtime/NEON/functions/NEL2NormalizeLayer.cpp
+++ b/src/runtime/NEON/functions/NEL2NormalizeLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,6 +25,7 @@
#include "arm_compute/core/Helpers.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEL2NormalizeLayerKernel.h"
#include "src/core/NEON/kernels/NEReductionOperationKernel.h"
@@ -43,6 +44,8 @@ NEL2NormalizeLayer::NEL2NormalizeLayer(std::shared_ptr<IMemoryManager> memory_ma
void NEL2NormalizeLayer::configure(ITensor *input, ITensor *output, int axis, float epsilon)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, axis, epsilon);
+
// Manage intermediate buffers
_memory_group.manage(&_sumsq);
diff --git a/src/runtime/NEON/functions/NELSTMLayer.cpp b/src/runtime/NEON/functions/NELSTMLayer.cpp
index 2eb5e9a61e..2d6be06499 100644
--- a/src/runtime/NEON/functions/NELSTMLayer.cpp
+++ b/src/runtime/NEON/functions/NELSTMLayer.cpp
@@ -29,6 +29,7 @@
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/core/utils/quantization/AsymmHelpers.h"
#include "arm_compute/runtime/common/LSTMParams.h"
+#include "src/common/utils/Log.h"
namespace arm_compute
{
@@ -67,6 +68,13 @@ void NELSTMLayer::configure(const ITensor *input,
forget_gate_bias, cell_bias, output_gate_bias,
output_state_in, cell_state_in,
scratch_buffer, output_state_out, cell_state_out, output);
+ ARM_COMPUTE_LOG_PARAMS(input,
+ input_to_forget_weights, input_to_cell_weights, input_to_output_weights,
+ recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights,
+ forget_gate_bias, cell_bias, output_gate_bias,
+ output_state_in, cell_state_in,
+ scratch_buffer, output_state_out, cell_state_out, output,
+ lstm_params, activation_info, cell_threshold, projection_threshold);
_is_layer_norm_lstm = lstm_params.use_layer_norm();
diff --git a/src/runtime/NEON/functions/NELSTMLayerQuantized.cpp b/src/runtime/NEON/functions/NELSTMLayerQuantized.cpp
index eb7d584da2..cfdeb000e0 100644
--- a/src/runtime/NEON/functions/NELSTMLayerQuantized.cpp
+++ b/src/runtime/NEON/functions/NELSTMLayerQuantized.cpp
@@ -26,6 +26,7 @@
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/quantization/AsymmHelpers.h"
+#include "src/common/utils/Log.h"
#include "src/core/helpers/AutoConfiguration.h"
#include <cmath>
@@ -72,6 +73,10 @@ void NELSTMLayerQuantized::configure(const ITensor *input,
recurrent_to_input_weights->info(), recurrent_to_forget_weights->info(), recurrent_to_cell_weights->info(), recurrent_to_output_weights->info(),
input_gate_bias->info(), forget_gate_bias->info(), cell_bias->info(), output_gate_bias->info(), cell_state_in->info(), output_state_in->info(), cell_state_out->info(), output_state_out->info()));
+ ARM_COMPUTE_LOG_PARAMS(input, input_to_input_weights, input_to_forget_weights, input_to_cell_weights, input_to_output_weights,
+ recurrent_to_input_weights, recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights,
+ input_gate_bias, forget_gate_bias, cell_bias, output_gate_bias, cell_state_in, output_state_in, cell_state_out, output_state_out);
+
const int input_size = input->info()->dimension(0);
const int batch_size = input->info()->dimension(1);
const int output_size = input_to_input_weights->info()->dimension(1);
diff --git a/src/runtime/NEON/functions/NELogical.cpp b/src/runtime/NEON/functions/NELogical.cpp
index 171d84da19..92dcf15791 100644
--- a/src/runtime/NEON/functions/NELogical.cpp
+++ b/src/runtime/NEON/functions/NELogical.cpp
@@ -25,6 +25,7 @@
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "arm_compute/runtime/Tensor.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NELogicalKernel.h"
namespace arm_compute
@@ -47,6 +48,7 @@ NELogicalAnd::~NELogicalAnd() = default;
void NELogicalAnd::configure(const ITensor *input1, const ITensor *input2, ITensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
+ ARM_COMPUTE_LOG_PARAMS(input1, input2, output);
_impl->kernel = std::make_unique<kernels::NELogicalKernel>();
_impl->kernel->configure(input1->info(), input2->info(), output->info(), LogicalOperation::And);
@@ -79,6 +81,7 @@ NELogicalOr::~NELogicalOr() = default;
void NELogicalOr::configure(const ITensor *input1, const ITensor *input2, ITensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
+ ARM_COMPUTE_LOG_PARAMS(input1, input2, output);
_impl->kernel = std::make_unique<kernels::NELogicalKernel>();
_impl->kernel->configure(input1->info(), input2->info(), output->info(), LogicalOperation::Or);
@@ -111,6 +114,7 @@ NELogicalNot::~NELogicalNot() = default;
void NELogicalNot::configure(const ITensor *input, ITensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_LOG_PARAMS(input, output);
_impl->kernel = std::make_unique<kernels::NELogicalKernel>();
_impl->kernel->configure(input->info(), nullptr, output->info(), LogicalOperation::Not);
diff --git a/src/runtime/NEON/functions/NEMaxUnpoolingLayer.cpp b/src/runtime/NEON/functions/NEMaxUnpoolingLayer.cpp
index 656777d726..39f717545b 100644
--- a/src/runtime/NEON/functions/NEMaxUnpoolingLayer.cpp
+++ b/src/runtime/NEON/functions/NEMaxUnpoolingLayer.cpp
@@ -27,6 +27,7 @@
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "arm_compute/runtime/NEON/functions/NEFill.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEMaxUnpoolingLayerKernel.h"
namespace arm_compute
@@ -40,6 +41,8 @@ NEMaxUnpoolingLayer::NEMaxUnpoolingLayer()
void NEMaxUnpoolingLayer::configure(ITensor *input, ITensor *indices, ITensor *output, const PoolingLayerInfo &pool_info)
{
+ ARM_COMPUTE_LOG_PARAMS(input, indices, output, pool_info);
+
const PixelValue zero_value(0.f);
_fill_func = std::make_unique<NEFill>();
_unpooling_layer_kernel = std::make_unique<NEMaxUnpoolingLayerKernel>();
diff --git a/src/runtime/NEON/functions/NEMeanStdDevNormalizationLayer.cpp b/src/runtime/NEON/functions/NEMeanStdDevNormalizationLayer.cpp
index 02de983b77..7626aa0db2 100644
--- a/src/runtime/NEON/functions/NEMeanStdDevNormalizationLayer.cpp
+++ b/src/runtime/NEON/functions/NEMeanStdDevNormalizationLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,12 +25,16 @@
#include "src/core/NEON/kernels/NEMeanStdDevNormalizationKernel.h"
+#include "src/common/utils/Log.h"
+
namespace arm_compute
{
NEMeanStdDevNormalizationLayer::~NEMeanStdDevNormalizationLayer() = default;
void NEMeanStdDevNormalizationLayer::configure(ITensor *input, ITensor *output, float epsilon)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, epsilon);
+
auto k = std::make_unique<NEMeanStdDevNormalizationKernel>();
k->configure(input, output, epsilon);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NENormalizationLayer.cpp b/src/runtime/NEON/functions/NENormalizationLayer.cpp
index 9dcb157c03..d3b1696335 100644
--- a/src/runtime/NEON/functions/NENormalizationLayer.cpp
+++ b/src/runtime/NEON/functions/NENormalizationLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -29,6 +29,7 @@
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NENormalizationLayerKernel.h"
namespace arm_compute
@@ -43,6 +44,7 @@ NENormalizationLayer::NENormalizationLayer(std::shared_ptr<IMemoryManager> memor
void NENormalizationLayer::configure(const ITensor *input, ITensor *output, const NormalizationLayerInfo &norm_info)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_LOG_PARAMS(input, output, norm_info);
TensorInfo tensor_info(input->info()->tensor_shape(), 1, input->info()->data_type());
_input_squared.allocator()->init(tensor_info);
diff --git a/src/runtime/NEON/functions/NEPadLayer.cpp b/src/runtime/NEON/functions/NEPadLayer.cpp
index 531b06de64..e776e673c2 100644
--- a/src/runtime/NEON/functions/NEPadLayer.cpp
+++ b/src/runtime/NEON/functions/NEPadLayer.cpp
@@ -27,6 +27,7 @@
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEPadLayerKernel.h"
#include "src/core/helpers/AutoConfiguration.h"
@@ -167,6 +168,7 @@ void NEPadLayer::configure_reflect_symmetric_mode(ITensor *input, ITensor *outpu
void NEPadLayer::configure(ITensor *input, ITensor *output, const PaddingList &padding, const PixelValue constant_value, const PaddingMode mode)
{
ARM_COMPUTE_ERROR_THROW_ON(validate(input->info(), output->info(), padding, constant_value, mode));
+ ARM_COMPUTE_LOG_PARAMS(input, output, padding, constant_value, mode);
_padding = padding;
_mode = mode;
diff --git a/src/runtime/NEON/functions/NEPriorBoxLayer.cpp b/src/runtime/NEON/functions/NEPriorBoxLayer.cpp
index 0c71706586..aba09239cf 100644
--- a/src/runtime/NEON/functions/NEPriorBoxLayer.cpp
+++ b/src/runtime/NEON/functions/NEPriorBoxLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -30,12 +30,15 @@
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEPriorBoxLayerKernel.h"
namespace arm_compute
{
void NEPriorBoxLayer::configure(const ITensor *input1, const ITensor *input2, ITensor *output, const PriorBoxLayerInfo &info)
{
+ ARM_COMPUTE_LOG_PARAMS(input1, input2, output, info);
+
auto k = std::make_unique<NEPriorBoxLayerKernel>();
k->configure(input1, input2, output, info);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NEQLSTMLayer.cpp b/src/runtime/NEON/functions/NEQLSTMLayer.cpp
index 565c5531c4..fdfe95fb64 100644
--- a/src/runtime/NEON/functions/NEQLSTMLayer.cpp
+++ b/src/runtime/NEON/functions/NEQLSTMLayer.cpp
@@ -31,6 +31,7 @@
#include "arm_compute/core/utils/misc/InfoHelpers.h"
#include "arm_compute/core/utils/quantization/AsymmHelpers.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEQLSTMLayerNormalizationKernel.h"
#include "src/core/helpers/WindowHelpers.h"
#include "src/cpu/kernels/CpuGemmLowpMatrixReductionKernel.h"
@@ -87,6 +88,8 @@ Status NEQLSTMLayer::TensorCopyKernel::validate(const ITensorInfo &src, const IT
void NEQLSTMLayer::TensorCopyKernel::configure(ITensor &src, ITensor &dst)
{
ARM_COMPUTE_ERROR_THROW_ON(NEQLSTMLayer::TensorCopyKernel::validate(*src.info(), *dst.info()));
+ ARM_COMPUTE_LOG_PARAMS(src, dst);
+
_src = &src;
_dst = &dst;
_row_size = std::min(_src->info()->tensor_shape().x(), _dst->info()->tensor_shape().x());
@@ -156,6 +159,10 @@ void NEQLSTMLayer::configure(const ITensor *input,
recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights,
forget_gate_bias, cell_bias, output_gate_bias, cell_state_in, output_state_in, cell_state_out, output_state_out);
+ ARM_COMPUTE_LOG_PARAMS(input, input_to_forget_weights, input_to_cell_weights, input_to_output_weights,
+ recurrent_to_forget_weights, recurrent_to_cell_weights, recurrent_to_output_weights,
+ forget_gate_bias, cell_bias, output_gate_bias, cell_state_in, output_state_in, cell_state_out, output_state_out);
+
// Set lstm parameters
LSTMParams<ITensorInfo> lstm_params_info{};
build_lstm_params_tensor_info(lstm_params, &lstm_params_info);
diff --git a/src/runtime/NEON/functions/NERNNLayer.cpp b/src/runtime/NEON/functions/NERNNLayer.cpp
index 6f6d4d942d..a66ef3d27a 100644
--- a/src/runtime/NEON/functions/NERNNLayer.cpp
+++ b/src/runtime/NEON/functions/NERNNLayer.cpp
@@ -30,6 +30,7 @@
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
namespace arm_compute
{
@@ -73,6 +74,7 @@ void NERNNLayer::configure(const ITensor *input, const ITensor *weights, const I
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, recurrent_weights, bias, hidden_state, output);
ARM_COMPUTE_ERROR_THROW_ON(NERNNLayer::validate(input->info(), weights->info(), recurrent_weights->info(), bias->info(), hidden_state->info(), output->info(), info));
+ ARM_COMPUTE_LOG_PARAMS(input, weights, recurrent_weights, bias, hidden_state, output, info);
const int idx_height = get_data_layout_dimension_index(input->info()->data_layout(), DataLayoutDimension::HEIGHT);
TensorShape shape = misc::shape_calculator::compute_rnn_shape(recurrent_weights->info(), hidden_state->info()->dimension(idx_height));
diff --git a/src/runtime/NEON/functions/NEROIAlignLayer.cpp b/src/runtime/NEON/functions/NEROIAlignLayer.cpp
index a946358e18..a9bdb50d95 100644
--- a/src/runtime/NEON/functions/NEROIAlignLayer.cpp
+++ b/src/runtime/NEON/functions/NEROIAlignLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -23,6 +23,7 @@
*/
#include "arm_compute/runtime/NEON/functions/NEROIAlignLayer.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEFillBorderKernel.h"
#include "src/core/NEON/kernels/NEROIAlignLayerKernel.h"
@@ -37,6 +38,8 @@ Status NEROIAlignLayer::validate(const ITensorInfo *input, const ITensorInfo *ro
void NEROIAlignLayer::configure(const ITensor *input, const ITensor *rois, ITensor *output, const ROIPoolingLayerInfo &pool_info)
{
+ ARM_COMPUTE_LOG_PARAMS(input, rois, output, pool_info);
+
// Configure ROI pooling kernel
auto k = std::make_unique<NEROIAlignLayerKernel>();
k->configure(input, rois, output, pool_info);
diff --git a/src/runtime/NEON/functions/NEROIPoolingLayer.cpp b/src/runtime/NEON/functions/NEROIPoolingLayer.cpp
index f9434059ea..a24f2aac50 100644
--- a/src/runtime/NEON/functions/NEROIPoolingLayer.cpp
+++ b/src/runtime/NEON/functions/NEROIPoolingLayer.cpp
@@ -24,6 +24,7 @@
#include "arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEROIPoolingLayerKernel.h"
namespace arm_compute
@@ -42,6 +43,8 @@ Status NEROIPoolingLayer::validate(const ITensorInfo *input, const ITensorInfo *
void NEROIPoolingLayer::configure(const ITensor *input, const ITensor *rois, const ITensor *output, const ROIPoolingLayerInfo &pool_info)
{
+ ARM_COMPUTE_LOG_PARAMS(input, rois, output, pool_info);
+
_roi_kernel = std::make_unique<NEROIPoolingLayerKernel>();
_roi_kernel->configure(input, rois, output, pool_info);
}
diff --git a/src/runtime/NEON/functions/NERange.cpp b/src/runtime/NEON/functions/NERange.cpp
index 56ef2bf657..a6f7be8be0 100644
--- a/src/runtime/NEON/functions/NERange.cpp
+++ b/src/runtime/NEON/functions/NERange.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -24,6 +24,7 @@
#include "arm_compute/runtime/NEON/functions/NERange.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NERangeKernel.h"
namespace arm_compute
@@ -37,6 +38,7 @@ NERange::NERange()
void NERange::configure(ITensor *output, const float start, const float end, const float step)
{
+ ARM_COMPUTE_LOG_PARAMS(output, start, end, step);
_kernel = std::make_unique<NERangeKernel>();
_kernel->configure(output, start, end, step);
}
diff --git a/src/runtime/NEON/functions/NEReduceMean.cpp b/src/runtime/NEON/functions/NEReduceMean.cpp
index b50a925f44..a2322c9eda 100644
--- a/src/runtime/NEON/functions/NEReduceMean.cpp
+++ b/src/runtime/NEON/functions/NEReduceMean.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -27,6 +27,7 @@
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/CPP/Validate.h"
#include "src/core/NEON/kernels/NEReductionOperationKernel.h"
#include "src/core/helpers/AutoConfiguration.h"
@@ -112,6 +113,8 @@ Status NEReduceMean::validate(const ITensorInfo *input, const Coordinates &reduc
void NEReduceMean::configure(ITensor *input, const Coordinates &reduction_axis, bool keep_dims, ITensor *output)
{
+ ARM_COMPUTE_LOG_PARAMS(input, reduction_axis, keep_dims, output);
+
// Perform validate step
ARM_COMPUTE_ERROR_THROW_ON(NEReduceMean::validate(input->info(), reduction_axis, keep_dims, output->info()));
// Output auto inizialitation if not yet initialized
diff --git a/src/runtime/NEON/functions/NEReductionOperation.cpp b/src/runtime/NEON/functions/NEReductionOperation.cpp
index 5d6f520a52..9660347a16 100644
--- a/src/runtime/NEON/functions/NEReductionOperation.cpp
+++ b/src/runtime/NEON/functions/NEReductionOperation.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -26,6 +26,7 @@
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEReductionOperationKernel.h"
#include "src/core/helpers/AutoConfiguration.h"
@@ -104,6 +105,7 @@ Status NEReductionOperation::validate(const ITensorInfo *input, const ITensorInf
void NEReductionOperation::configure(ITensor *input, ITensor *output, unsigned int axis, ReductionOperation op, bool keep_dims)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_LOG_PARAMS(input, output, axis, op, keep_dims);
_is_reshape_required = !keep_dims;
diff --git a/src/runtime/NEON/functions/NERemap.cpp b/src/runtime/NEON/functions/NERemap.cpp
index dc2c4b4f91..154479aede 100644
--- a/src/runtime/NEON/functions/NERemap.cpp
+++ b/src/runtime/NEON/functions/NERemap.cpp
@@ -28,6 +28,7 @@
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/TensorAllocator.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NERemapKernel.h"
#include <utility>
@@ -45,6 +46,7 @@ void NERemap::configure(ITensor *input, const ITensor *map_x, const ITensor *map
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(map_x, 1, DataType::F32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(map_y, 1, DataType::F32);
ARM_COMPUTE_ERROR_ON_MSG(policy == InterpolationPolicy::AREA, "Area interpolation is not supported");
+ ARM_COMPUTE_LOG_PARAMS(input, map_x, map_y, output, policy, border_mode, constant_border_value);
auto k = std::make_unique<NERemapKernel>();
k->configure(input, map_x, map_y, output, policy, border_mode, constant_border_value.get<uint8_t>());
diff --git a/src/runtime/NEON/functions/NEReorgLayer.cpp b/src/runtime/NEON/functions/NEReorgLayer.cpp
index 23ca3a4eea..8ee73d7390 100644
--- a/src/runtime/NEON/functions/NEReorgLayer.cpp
+++ b/src/runtime/NEON/functions/NEReorgLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,10 +25,14 @@
#include "src/core/NEON/kernels/NEReorgLayerKernel.h"
+#include "src/common/utils/Log.h"
+
namespace arm_compute
{
void NEReorgLayer::configure(const ITensor *input, ITensor *output, int32_t stride)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, stride);
+
auto k = std::make_unique<NEReorgLayerKernel>();
k->configure(input, output, stride);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NEReverse.cpp b/src/runtime/NEON/functions/NEReverse.cpp
index 36127ef83c..d4ed2a9018 100644
--- a/src/runtime/NEON/functions/NEReverse.cpp
+++ b/src/runtime/NEON/functions/NEReverse.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,10 +25,14 @@
#include "src/core/NEON/kernels/NEReverseKernel.h"
+#include "src/common/utils/Log.h"
+
namespace arm_compute
{
void NEReverse::configure(const ITensor *input, ITensor *output, const ITensor *axis)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, axis);
+
auto k = std::make_unique<NEReverseKernel>();
k->configure(input, output, axis);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NEScale.cpp b/src/runtime/NEON/functions/NEScale.cpp
index b952858181..9f48e78a5a 100644
--- a/src/runtime/NEON/functions/NEScale.cpp
+++ b/src/runtime/NEON/functions/NEScale.cpp
@@ -25,6 +25,7 @@
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/Tensor.h"
+#include "src/common/utils/Log.h"
#include "src/core/utils/ScaleUtils.h"
#include "src/cpu/operators/CpuScale.h"
#include "support/Rounding.h"
@@ -49,6 +50,8 @@ NEScale::~NEScale() = default;
void NEScale::configure(ITensor *input, ITensor *output, const ScaleKernelInfo &info)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, info);
+
_impl->src = input;
_impl->dst = output;
_impl->op = std::make_unique<cpu::CpuScale>();
diff --git a/src/runtime/NEON/functions/NESelect.cpp b/src/runtime/NEON/functions/NESelect.cpp
index f8ba9f03ed..26c2eb8fe9 100644
--- a/src/runtime/NEON/functions/NESelect.cpp
+++ b/src/runtime/NEON/functions/NESelect.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -24,12 +24,15 @@
#include "arm_compute/runtime/NEON/functions/NESelect.h"
#include "arm_compute/core/Types.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NESelectKernel.h"
namespace arm_compute
{
void NESelect::configure(const ITensor *c, const ITensor *x, const ITensor *y, ITensor *output)
{
+ ARM_COMPUTE_LOG_PARAMS(c, x, y, output);
+
auto k = std::make_unique<NESelectKernel>();
k->configure(c, x, y, output);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NESlice.cpp b/src/runtime/NEON/functions/NESlice.cpp
index 9b08bca38a..4a8912bfe9 100644
--- a/src/runtime/NEON/functions/NESlice.cpp
+++ b/src/runtime/NEON/functions/NESlice.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -27,6 +27,7 @@
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/helpers/tensor_transform.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEStridedSliceKernel.h"
namespace arm_compute
@@ -36,6 +37,7 @@ namespace experimental
void NESlice::configure(const ITensorInfo *input, ITensorInfo *output, const Coordinates &starts, const Coordinates &ends)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input);
+ ARM_COMPUTE_LOG_PARAMS(input, output, starts, ends);
// Get absolute end coordinates
const int32_t slice_end_mask = arm_compute::helpers::tensor_transform::construct_slice_end_mask(ends);
diff --git a/src/runtime/NEON/functions/NESpaceToBatchLayer.cpp b/src/runtime/NEON/functions/NESpaceToBatchLayer.cpp
index e8a84246fe..c4509510dc 100644
--- a/src/runtime/NEON/functions/NESpaceToBatchLayer.cpp
+++ b/src/runtime/NEON/functions/NESpaceToBatchLayer.cpp
@@ -30,6 +30,7 @@
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "arm_compute/runtime/NEON/functions/NEFill.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NESpaceToBatchLayerKernel.h"
namespace arm_compute
@@ -44,6 +45,7 @@ NESpaceToBatchLayer::NESpaceToBatchLayer()
void NESpaceToBatchLayer::configure(const ITensor *input, const ITensor *block_shape, const ITensor *paddings, ITensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, block_shape, paddings, output);
+ ARM_COMPUTE_LOG_PARAMS(input, block_shape, paddings, output);
if(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
{
diff --git a/src/runtime/NEON/functions/NESpaceToDepthLayer.cpp b/src/runtime/NEON/functions/NESpaceToDepthLayer.cpp
index 1e3776c448..b37bf0d20f 100644
--- a/src/runtime/NEON/functions/NESpaceToDepthLayer.cpp
+++ b/src/runtime/NEON/functions/NESpaceToDepthLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -29,6 +29,7 @@
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NESpaceToDepthLayerKernel.h"
namespace arm_compute
@@ -43,6 +44,8 @@ NESpaceToDepthLayer::NESpaceToDepthLayer()
void NESpaceToDepthLayer::configure(const ITensor *input, ITensor *output, int32_t block_shape)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_LOG_PARAMS(input, output, block_shape);
+
_space_to_depth_kernel = std::make_unique<NESpaceToDepthLayerKernel>();
_space_to_depth_kernel->configure(input, output, block_shape);
}
diff --git a/src/runtime/NEON/functions/NEStackLayer.cpp b/src/runtime/NEON/functions/NEStackLayer.cpp
index af5c80d036..68554e0931 100644
--- a/src/runtime/NEON/functions/NEStackLayer.cpp
+++ b/src/runtime/NEON/functions/NEStackLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -30,6 +30,7 @@
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEStackLayerKernel.h"
namespace arm_compute
@@ -45,6 +46,8 @@ NEStackLayer::NEStackLayer() // NOLINT
void NEStackLayer::configure(const std::vector<ITensor *> &input, int axis, ITensor *output)
{
+ ARM_COMPUTE_LOG_PARAMS(input, axis, output);
+
_num_inputs = input.size();
_stack_kernels.resize(_num_inputs);
diff --git a/src/runtime/NEON/functions/NEStridedSlice.cpp b/src/runtime/NEON/functions/NEStridedSlice.cpp
index fffb38c3ca..4f50749a4f 100644
--- a/src/runtime/NEON/functions/NEStridedSlice.cpp
+++ b/src/runtime/NEON/functions/NEStridedSlice.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,6 +25,7 @@
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/Types.h"
+#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEStridedSliceKernel.h"
namespace arm_compute
@@ -35,6 +36,8 @@ void NEStridedSlice::configure(const ITensorInfo *input, ITensorInfo *output,
const Coordinates &starts, const Coordinates &ends, const BiStrides &strides,
int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
+
auto k = std::make_unique<NEStridedSliceKernel>();
k->configure(input, output, starts, ends, strides, begin_mask, end_mask, shrink_axis_mask);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NETile.cpp b/src/runtime/NEON/functions/NETile.cpp
index 088816eb95..526603f1a3 100644
--- a/src/runtime/NEON/functions/NETile.cpp
+++ b/src/runtime/NEON/functions/NETile.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,10 +25,14 @@
#include "src/core/NEON/kernels/NETileKernel.h"
+#include "src/common/utils/Log.h"
+
namespace arm_compute
{
void NETile::configure(const ITensor *input, ITensor *output, const Multiples &multiples)
{
+ ARM_COMPUTE_LOG_PARAMS(input, output, multiples);
+
auto k = std::make_unique<NETileKernel>();
k->configure(input, output, multiples);
_kernel = std::move(k);
diff --git a/src/runtime/NEON/functions/NETranspose.cpp b/src/runtime/NEON/functions/NETranspose.cpp
index b6bf15e428..78c7ea202a 100644
--- a/src/runtime/NEON/functions/NETranspose.cpp
+++ b/src/runtime/NEON/functions/NETranspose.cpp
@@ -24,6 +24,7 @@
#include "arm_compute/runtime/NEON/functions/NETranspose.h"
#include "arm_compute/core/Validate.h"
+#include "src/common/utils/Log.h"
#include "src/cpu/operators/CpuTranspose.h"
namespace arm_compute
@@ -45,6 +46,7 @@ NETranspose::~NETranspose() = default;
void NETranspose::configure(const ITensor *input, ITensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_LOG_PARAMS(input, output);
_impl->src = input;
_impl->dst = output;
diff --git a/src/runtime/NEON/functions/NEUnstack.cpp b/src/runtime/NEON/functions/NEUnstack.cpp
index 50596dbc0a..176b17f1f5 100644
--- a/src/runtime/NEON/functions/NEUnstack.cpp
+++ b/src/runtime/NEON/functions/NEUnstack.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2019 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -28,6 +28,7 @@
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "src/common/utils/Log.h"
namespace arm_compute
{
@@ -70,6 +71,7 @@ void NEUnstack::configure(const ITensor *input, const std::vector<ITensor *> &ou
ARM_COMPUTE_ERROR_ON_NULLPTR(input);
ARM_COMPUTE_ERROR_THROW_ON(NEUnstack::validate(input->info(), outputs_vector_info, axis));
+ ARM_COMPUTE_LOG_PARAMS(input, output_vector, outputs_vector_info, axis);
// Wrap around negative values
const unsigned int axis_u = wrap_axis(axis, input->info());