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authorGeorgios Pinitas <georgios.pinitas@arm.com>2018-07-17 12:28:42 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:54 +0000
commit7d66a8e3f603f2cd363f04a750847e3f9eabdfd4 (patch)
tree0d7e1ad5bf0ecd32cd919074f756d27c351d7638 /src/runtime/CL/functions/CLRNNLayer.cpp
parentae54e026c86aec7d6819ee3ef76372c1a3c92467 (diff)
downloadComputeLibrary-7d66a8e3f603f2cd363f04a750847e3f9eabdfd4.tar.gz
COMPMID-1386: Add support for converting weights for CL.
Change-Id: I62e3ead903366baeeb1488f233a9b8b0c388c9de Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/140403 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Giorgio Arena <giorgio.arena@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLRNNLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLRNNLayer.cpp4
1 files changed, 2 insertions, 2 deletions
diff --git a/src/runtime/CL/functions/CLRNNLayer.cpp b/src/runtime/CL/functions/CLRNNLayer.cpp
index 0e1b9d5b58..1809e6e64e 100644
--- a/src/runtime/CL/functions/CLRNNLayer.cpp
+++ b/src/runtime/CL/functions/CLRNNLayer.cpp
@@ -58,7 +58,7 @@ Status CLRNNLayer::validate(const ITensorInfo *input, const ITensorInfo *weights
auto shape_info = TensorInfo(compute_rnn_shape(recurrent_weights, hidden_state->dimension(idx_height)), 1, input->data_type());
- ARM_COMPUTE_RETURN_ON_ERROR(CLFullyConnectedLayer::validate(input, weights, bias, &shape_info, true, false));
+ ARM_COMPUTE_RETURN_ON_ERROR(CLFullyConnectedLayer::validate(input, weights, bias, &shape_info));
ARM_COMPUTE_RETURN_ON_ERROR(CLGEMM::validate(hidden_state, recurrent_weights, nullptr, &shape_info, 1.f, 0.f));
ARM_COMPUTE_RETURN_ON_ERROR(CLArithmeticAdditionKernel::validate(&shape_info, &shape_info, &shape_info, ConvertPolicy::SATURATE));
ARM_COMPUTE_RETURN_ON_ERROR(CLActivationLayerKernel::validate(&shape_info, &shape_info, info));
@@ -82,7 +82,7 @@ void CLRNNLayer::configure(const ICLTensor *input, const ICLTensor *weights, con
// Manage intermediate buffers and configure
_memory_group.manage(&_fully_connected_out);
- _fully_connected_kernel.configure(input, weights, bias, &_fully_connected_out, true, false);
+ _fully_connected_kernel.configure(input, weights, bias, &_fully_connected_out);
_memory_group.manage(&_gemm_output);
_gemm_state_f.configure(hidden_state, recurrent_weights, nullptr, &_gemm_output, 1.f, 0.f);