From 1562be3e8a449360a90af75f6f1481a30d41be75 Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Thu, 8 Mar 2018 19:09:19 +0000 Subject: COMPMID-998: Release unused trainable parameters. Change-Id: I361a520f34080016a25bc86e1e6789777c5152c1 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/124432 Reviewed-by: Anthony Barbier Tested-by: Jenkins --- src/runtime/CL/functions/CLLocallyConnectedLayer.cpp | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) (limited to 'src/runtime/CL/functions/CLLocallyConnectedLayer.cpp') diff --git a/src/runtime/CL/functions/CLLocallyConnectedLayer.cpp b/src/runtime/CL/functions/CLLocallyConnectedLayer.cpp index a3eb5010bd..986fe00973 100644 --- a/src/runtime/CL/functions/CLLocallyConnectedLayer.cpp +++ b/src/runtime/CL/functions/CLLocallyConnectedLayer.cpp @@ -73,7 +73,7 @@ void calculate_shapes(const ITensorInfo *input, const ITensorInfo *weights, cons CLLocallyConnectedLayer::CLLocallyConnectedLayer(std::shared_ptr memory_manager) : _memory_group(std::move(memory_manager)), _input_im2col_kernel(), _weights_reshape_kernel(), _mm_kernel(), _output_col2im_kernel(), _input_im2col_reshaped(), _weights_reshaped(), _gemm_output(), - _is_first_run(false) + _is_first_run(false), _original_weights(nullptr) { } @@ -126,8 +126,9 @@ void CLLocallyConnectedLayer::configure(const ICLTensor *input, const ICLTensor ARM_COMPUTE_ERROR_ON_NULLPTR(input, weights, output); ARM_COMPUTE_ERROR_THROW_ON(CLLocallyConnectedLayer::validate(input->info(), weights->info(), biases == nullptr ? nullptr : biases->info(), output->info(), conv_info)); - bool _has_bias = (biases != nullptr); - _is_first_run = true; + bool _has_bias = (biases != nullptr); + _original_weights = weights; + _is_first_run = true; const unsigned int kernel_width = weights->info()->dimension(0); const unsigned int kernel_height = weights->info()->dimension(1); @@ -169,8 +170,13 @@ void CLLocallyConnectedLayer::run() // Run weights reshaping (Runs once for every configure) if(_is_first_run) { + ARM_COMPUTE_ERROR_ON(!_original_weights->is_used()); + _is_first_run = false; CLScheduler::get().enqueue(_weights_reshape_kernel); + + // Mark original weights tensor as unused + _original_weights->mark_as_unused(); } _memory_group.acquire(); -- cgit v1.2.1