diff options
Diffstat (limited to 'src/runtime/NEON/functions/NEFullyConnectedLayer.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEFullyConnectedLayer.cpp | 11 |
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 |