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author | Anthony Barbier <anthony.barbier@arm.com> | 2018-08-02 11:29:09 +0100 |
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committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:54 +0000 |
commit | 20394d526820ca97df4c0db91ec2571b98280d6d (patch) | |
tree | 6598ec22e28f4414d79934e61c0893211a85a2da /src/runtime/NEON/functions/NEWinogradConvolutionLayer.cpp | |
parent | 3d677ccee046cd384abf2142f323f8e9e7a4834f (diff) | |
download | ComputeLibrary-20394d526820ca97df4c0db91ec2571b98280d6d.tar.gz |
COMPMID-1248 Enabled memory manager in NEWinogradConvolutionLayer
Change-Id: I7bbab53f18a42f0879d80122a52bb6bdca4b8631
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/142413
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Diffstat (limited to 'src/runtime/NEON/functions/NEWinogradConvolutionLayer.cpp')
-rw-r--r-- | src/runtime/NEON/functions/NEWinogradConvolutionLayer.cpp | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/src/runtime/NEON/functions/NEWinogradConvolutionLayer.cpp b/src/runtime/NEON/functions/NEWinogradConvolutionLayer.cpp index a71eade9a1..11bb2d881b 100644 --- a/src/runtime/NEON/functions/NEWinogradConvolutionLayer.cpp +++ b/src/runtime/NEON/functions/NEWinogradConvolutionLayer.cpp @@ -263,23 +263,17 @@ void NEWinogradConvolutionLayer::configure(const ITensor *input, const ITensor * d_info.init(d_shape, 1, data_type, d_strides, 0, output_storage_size); _input_workspace.allocator()->init(a_info, storage_alignment); - _input_workspace.allocator()->allocate(); - _kernel_storage.allocator()->init(b_info, storage_alignment); - _kernel_storage.allocator()->allocate(); - _output_workspace.allocator()->init(d_info, storage_alignment); - _output_workspace.allocator()->allocate(); // configure and allocate dst tensor to be used to convert from winograd domain to spatial domain when calling to reshape_output() TensorInfo info(TensorShape(_output->info()->dimension(2), _output->info()->dimension(0), _output->info()->dimension(1), _output->info()->dimension(3)), 1, _output->info()->data_type()); _output_nhwc.allocator()->init(info); - _output_nhwc.allocator()->allocate(); // Configure the InputTransform - + _memory_group.manage(&_input_workspace); if(data_layout == DataLayout::NCHW) { // configure the kernel to transform the input tensor from NCHW -> NHWC @@ -314,6 +308,7 @@ void NEWinogradConvolutionLayer::configure(const ITensor *input, const ITensor * // Configure OutputTransform //The biases tensor has not been allocated at this point in time, the output transform will add the biases to the final result in the run() method + _memory_group.manage(&_output_workspace); if(data_layout == DataLayout::NCHW) { transform_output_kernel->configure(biases, &_output_workspace, @@ -328,10 +323,15 @@ void NEWinogradConvolutionLayer::configure(const ITensor *input, const ITensor * } _asm_glue.configure(&_input_workspace, &_kernel_storage, &_output_workspace, 1.0f, 0.f, false); + _input_workspace.allocator()->allocate(); + _kernel_storage.allocator()->allocate(); + _output_workspace.allocator()->allocate(); // Reorder the convoluted output to ACL's ordering NCHW _permute_output.configure(&_output_nhwc, _output, PermutationVector(1U, 2U, 0U)); + _output_nhwc.allocator()->allocate(); + _transform_input_kernel = std::move(transform_input_kernel); _transform_weights_kernel = std::move(transform_weights_kernel); _transform_output_kernel = std::move(transform_output_kernel); |