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authorSang-Hoon Park <sang-hoon.park@arm.com>2020-05-06 21:01:19 +0100
committerSang-Hoon Park <sang-hoon.park@arm.com>2020-05-11 11:37:41 +0000
commitd5c020a20514cad8c78f0ab2cc46a03607854a49 (patch)
treee4fdb01d446022267aaaced2021ad61399b6f34b /src/runtime/CL/functions/CLLSTMLayer.cpp
parent6f8b17dedb7b53b550e6210fd1c78c3a3e086271 (diff)
downloadComputeLibrary-d5c020a20514cad8c78f0ab2cc46a03607854a49.tar.gz
COMPMID-3239: Fix projection and peephole in NEQLSTMLayer
- Peephole and projection has been fixed to be working - Small internal kernel copying data between tensors to cover the case where num_units and output_size is different is added. Below is strictly outside of this patch's scope but are changes helping this patch working (directly or indirectly) or making NEQLSTM more complete. - Consideration for layer normalization is added to InfoHelpers - QSYMM8 data type is added to helper function to print out tensors. - NE/CLLSTMLayer::validate() logic has been modified to use correct value for shape validation. Change-Id: I40b4e71dfdbe8432caa2fe4a9af60a725362cc33 Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com> Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3157 Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com> Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLLSTMLayer.cpp')
-rw-r--r--src/runtime/CL/functions/CLLSTMLayer.cpp8
1 files changed, 4 insertions, 4 deletions
diff --git a/src/runtime/CL/functions/CLLSTMLayer.cpp b/src/runtime/CL/functions/CLLSTMLayer.cpp
index 32ff813f43..56f22e2fe0 100644
--- a/src/runtime/CL/functions/CLLSTMLayer.cpp
+++ b/src/runtime/CL/functions/CLLSTMLayer.cpp
@@ -444,7 +444,7 @@ Status CLLSTMLayer::validate(const ITensorInfo *input,
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(lstm_params.input_layer_norm_weights());
ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.input_layer_norm_weights()->num_dimensions() > 1);
- ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.input_layer_norm_weights()->dimension(0) != num_batches);
+ ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.input_layer_norm_weights()->dimension(0) != num_cells);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, lstm_params.input_layer_norm_weights());
}
@@ -453,9 +453,9 @@ Status CLLSTMLayer::validate(const ITensorInfo *input,
ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.forget_layer_norm_weights()->num_dimensions() > 1);
ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.cell_layer_norm_weights()->num_dimensions() > 1);
ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.output_layer_norm_weights()->num_dimensions() > 1);
- ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.forget_layer_norm_weights()->dimension(0) != num_batches);
- ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.cell_layer_norm_weights()->dimension(0) != num_batches);
- ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.output_layer_norm_weights()->dimension(0) != num_batches);
+ ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.forget_layer_norm_weights()->dimension(0) != num_cells);
+ ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.cell_layer_norm_weights()->dimension(0) != num_cells);
+ ARM_COMPUTE_RETURN_ERROR_ON(lstm_params.output_layer_norm_weights()->dimension(0) != num_cells);
}
// Check peephole optimization