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| author | Ioan-Cristian Szabo <ioan-cristian.szabo@arm.com> | 2017-11-30 17:17:17 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:47:40 +0000 |
| commit | b4e3e1c371d8091e86ee1c6e704057559bbe1554 (patch) | |
| tree | d072c9f9d7471e4df9ef5aa6b50cb09c35b0c361 /src/runtime/CL/functions/CLFullyConnectedLayer.cpp | |
| parent | c1b6e37233e0ebd21cb44bf8863a09c0ba5feeb1 (diff) | |
| download | ComputeLibrary-b4e3e1c371d8091e86ee1c6e704057559bbe1554.tar.gz | |
COMPMID-617: Add validate support for NEON FullyConnectedLayer
Change-Id: I08987022c8d4cc335c00b8af27bd3edb8fe64d3b
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/111596
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Alexander Gilday <alexander.gilday@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLFullyConnectedLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLFullyConnectedLayer.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/runtime/CL/functions/CLFullyConnectedLayer.cpp b/src/runtime/CL/functions/CLFullyConnectedLayer.cpp index e9d14db96e..2b4670b98c 100644 --- a/src/runtime/CL/functions/CLFullyConnectedLayer.cpp +++ b/src/runtime/CL/functions/CLFullyConnectedLayer.cpp @@ -114,7 +114,7 @@ void CLFullyConnectedLayer::configure_conv_fc(const ICLTensor *input, const ICLT // If the fully connected layer is called after a convolution layer, the input tensor must be linearized // Initialize output tensor for im2col - TensorShape shape_im2col = compute_im2col_shape(*input->info()); + TensorShape shape_im2col = compute_im2col_shape(input->info()); _im2col_output.allocator()->init(input->info()->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(shape_im2col)); // Configure im2col kernel @@ -243,7 +243,7 @@ Status CLFullyConnectedLayer::validate(const ITensorInfo *input, const ITensorIn bool is_quantized = is_data_type_quantized_asymmetric(input->data_type()); const GPUTarget gpu_target = CLScheduler::get().target(); - const ITensorInfo &im2col_input = TensorInfo(input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(compute_im2col_shape(*input))); + const ITensorInfo &im2col_input = TensorInfo(input->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(compute_im2col_shape(input))); const ITensorInfo &reshaped_weights = TensorInfo(weights->clone()->set_is_resizable(true).reset_padding().set_tensor_shape(compute_transposed_shape(*weights))); const ITensorInfo &gemmlowp_output = TensorInfo(output->clone()->set_is_resizable(true).reset_padding().set_data_type(DataType::S32)); |