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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-11-21 03:04:18 +0000 |
|---|---|---|
| committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2020-12-01 10:41:54 +0000 |
| commit | 40f51a63c8e7258db15269427ae4fe1ad199c550 (patch) | |
| tree | 353253a41863966995a45556731e7181a643c003 /src/runtime/NEON/functions/NEQLSTMLayer.cpp | |
| parent | 327800401c4185d98fcc01b9c9efbc038a4228ed (diff) | |
| download | ComputeLibrary-40f51a63c8e7258db15269427ae4fe1ad199c550.tar.gz | |
Update default C++ standard to C++14
(3RDPARTY_UPDATE)
Resolves: COMPMID-3849
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I6369f112337310140e2d6c8e79630cd11138dfa0
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4544
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/NEON/functions/NEQLSTMLayer.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEQLSTMLayer.cpp | 21 |
1 files changed, 10 insertions, 11 deletions
diff --git a/src/runtime/NEON/functions/NEQLSTMLayer.cpp b/src/runtime/NEON/functions/NEQLSTMLayer.cpp index 1013730235..85d62ac058 100644 --- a/src/runtime/NEON/functions/NEQLSTMLayer.cpp +++ b/src/runtime/NEON/functions/NEQLSTMLayer.cpp @@ -39,7 +39,6 @@ #include "src/core/NEON/kernels/NEGEMMTranspose1xWKernel.h" #include "src/core/NEON/kernels/NEQLSTMLayerNormalizationKernel.h" #include "src/core/helpers/WindowHelpers.h" -#include "support/MemorySupport.h" namespace arm_compute { @@ -75,7 +74,7 @@ void NEQLSTMLayer::configure_layer_norm(NEQLSTMLayer::LayerNormGate g, const ITe _memory_group.manage(&out); out.allocator()->init(*(in->info())); - get_layer_norm(g) = arm_compute::support::cpp14::make_unique<NEQLSTMLayerNormalizationKernel>(); + get_layer_norm(g) = std::make_unique<NEQLSTMLayerNormalizationKernel>(); get_layer_norm(g)->configure(in, &out, get_layer_norm_weight(g), get_layer_norm_bias(g)); } @@ -226,18 +225,18 @@ void NEQLSTMLayer::configure(const ITensor *input, _input_to_input_weights = lstm_params.input_to_input_weights(); _recurrent_to_input_weights = lstm_params.recurrent_to_input_weights(); - _input_to_input_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>(); - _recurrent_to_input_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>(); + _input_to_input_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>(); + _recurrent_to_input_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>(); _input_to_input_reduction->configure(_input_to_input_weights, &_input_to_input_eff_bias, GEMMLowpReductionKernelInfo(num_units, false, -qinput.offset, true)); _recurrent_to_input_reduction->configure(_recurrent_to_input_weights, &_recurrent_to_input_eff_bias, GEMMLowpReductionKernelInfo(num_units, false, -qoutput_state_in.offset, true)); } - _input_to_forget_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>(); - _recurrent_to_forget_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>(); - _input_to_cell_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>(); - _recurrent_to_cell_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>(); - _input_to_output_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>(); - _recurrent_to_output_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>(); + _input_to_forget_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>(); + _recurrent_to_forget_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>(); + _input_to_cell_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>(); + _recurrent_to_cell_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>(); + _input_to_output_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>(); + _recurrent_to_output_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>(); _recurrent_to_cell_reduction->configure(input_to_forget_weights, &_input_to_forget_eff_bias, GEMMLowpReductionKernelInfo(num_units, false, -qinput.offset, true)); _recurrent_to_forget_reduction->configure(recurrent_to_forget_weights, &_recurrent_to_forget_eff_bias, GEMMLowpReductionKernelInfo(num_units, false, -qoutput_state_in.offset, true)); @@ -247,7 +246,7 @@ void NEQLSTMLayer::configure(const ITensor *input, _recurrent_to_output_reduction->configure(recurrent_to_output_weights, &_recurrent_to_output_eff_bias, GEMMLowpReductionKernelInfo(num_units, false, -qoutput_state_in.offset, true)); if(_has_projection) { - _projection_reduction = arm_compute::support::cpp14::make_unique<NEGEMMLowpMatrixAReductionKernel>(); + _projection_reduction = std::make_unique<NEGEMMLowpMatrixAReductionKernel>(); _projection_reduction->configure(_projection_weights, &_projection_eff_bias, GEMMLowpReductionKernelInfo(output_size, false, lstm_params.hidden_state_zero(), true)); if(_projection_bias != nullptr) { |