aboutsummaryrefslogtreecommitdiff
path: root/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
diff options
context:
space:
mode:
authorGeorgios Pinitas <georgios.pinitas@arm.com>2020-12-03 20:37:43 +0000
committerMichele Di Giorgio <michele.digiorgio@arm.com>2020-12-08 11:56:12 +0000
commite2696b1f9bb28b69beff99f54addd48f60823ddb (patch)
tree68705f1cdff45e4d0c174b6037f6e5ff696717d2 /src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
parent8c3c0e7b117723bc98b6acc85565ffa521b10c0d (diff)
downloadComputeLibrary-e2696b1f9bb28b69beff99f54addd48f60823ddb.tar.gz
Wrap Flatten layer over reshape
Flatten layer is lowered into a Reshape layer. Remove (CL/NE)FlatternLayerKernel. Partially Resolves: COMPMID-3996 Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: Id9e2ddfe2e2dd793541badff3490c05e4c908f88 Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4660 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Diffstat (limited to 'src/runtime/NEON/functions/NEFullyConnectedLayer.cpp')
-rw-r--r--src/runtime/NEON/functions/NEFullyConnectedLayer.cpp11
1 files changed, 4 insertions, 7 deletions
diff --git a/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp b/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
index f12c410a59..ec782fc163 100644
--- a/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
+++ b/src/runtime/NEON/functions/NEFullyConnectedLayer.cpp
@@ -31,8 +31,6 @@
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "src/core/NEON/kernels/NEConvertFullyConnectedWeightsKernel.h"
#include "src/core/NEON/kernels/NEConvertQuantizedSignednessKernel.h"
-#include "src/core/NEON/kernels/NEFlattenLayerKernel.h"
-#include "src/core/NEON/kernels/NEFlattenLayerKernel.h"
#include "src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h"
#include "src/core/NEON/kernels/NEGEMMLowpMatrixMultiplyKernel.h"
#include "src/core/NEON/kernels/NEGEMMLowpOffsetContributionKernel.h"
@@ -159,7 +157,7 @@ Status NEFullyConnectedLayerReshapeWeights::validate(const ITensorInfo *input, c
NEFullyConnectedLayer::~NEFullyConnectedLayer() = default;
NEFullyConnectedLayer::NEFullyConnectedLayer(std::shared_ptr<IMemoryManager> memory_manager, IWeightsManager *weights_manager)
- : _memory_group(std::move(memory_manager)), _weights_manager(weights_manager), _flatten_kernel(), _convert_weights(), _convert_weights_managed(), _reshape_weights_function(),
+ : _memory_group(std::move(memory_manager)), _weights_manager(weights_manager), _flatten(), _convert_weights(), _convert_weights_managed(), _reshape_weights_function(),
_reshape_weights_managed_function(), _mm_gemm(nullptr, weights_manager), _mm_gemmlowp(nullptr, weights_manager), _flatten_output(), _converted_weights_output(), _reshape_weights_output(),
_original_weights(nullptr), _are_weights_converted(true), _are_weights_reshaped(false), _is_fc_after_conv(false), _is_quantized_asymmetric(false), _is_prepared(false)
{
@@ -213,8 +211,7 @@ void NEFullyConnectedLayer::configure_conv_fc(const ITensor *input, const ITenso
// Configure flatten kernel
_memory_group.manage(&_flatten_output);
- _flatten_kernel = std::make_unique<NEFlattenLayerKernel>();
- _flatten_kernel->configure(input, &_flatten_output);
+ _flatten.configure(input, &_flatten_output);
// Configure matrix multiply kernel
configure_mm(&_flatten_output, weights, biases, output, act);
@@ -392,7 +389,7 @@ Status NEFullyConnectedLayer::validate(const ITensorInfo *input, const ITensorIn
ARM_COMPUTE_RETURN_ERROR_ON((weights_to_use->dimension(1) != (input->dimension(0) * input->dimension(1) * input->dimension(2))));
// Validate flatten kernel
- ARM_COMPUTE_RETURN_ON_ERROR(NEFlattenLayerKernel::validate(input, &flatten_input));
+ ARM_COMPUTE_RETURN_ON_ERROR(NEFlattenLayer::validate(input, &flatten_input));
input_to_use = &flatten_input;
}
else
@@ -415,7 +412,7 @@ void NEFullyConnectedLayer::run()
// Linearize input if it comes from a convolutional layer
if(_is_fc_after_conv)
{
- NEScheduler::get().schedule(_flatten_kernel.get(), Window::DimY);
+ _flatten.run();
}
// Run matrix multiply