diff options
Diffstat (limited to 'src/graph/nodes/BatchNormalizationLayer.cpp')
| -rw-r--r-- | src/graph/nodes/BatchNormalizationLayer.cpp | 23 |
1 files changed, 23 insertions, 0 deletions
diff --git a/src/graph/nodes/BatchNormalizationLayer.cpp b/src/graph/nodes/BatchNormalizationLayer.cpp index bce19016d7..a433f39dc4 100644 --- a/src/graph/nodes/BatchNormalizationLayer.cpp +++ b/src/graph/nodes/BatchNormalizationLayer.cpp @@ -56,6 +56,11 @@ std::unique_ptr<arm_compute::IFunction> BatchNormalizationLayer::instantiate_nod _gamma.set_info(TensorInfo(TensorShape(batch_norm_size), in->info()->num_channels(), in->info()->data_type(), in->info()->fixed_point_position())); } + bool mean_is_loaded = _mean.tensor() != nullptr; + bool var_is_loaded = _var.tensor() != nullptr; + bool gamma_is_loaded = _gamma.tensor() != nullptr; + bool beta_is_loaded = _beta.tensor() != nullptr; + // Create node context NodeContext node_ctx(OperationType::BatchNormalizationLayer); node_ctx.set_target(_target_hint); @@ -67,6 +72,24 @@ std::unique_ptr<arm_compute::IFunction> BatchNormalizationLayer::instantiate_nod node_ctx.add_output(out); node_ctx.add_parameter<float>("epsilon", _epsilon); + // Fill tensors + if(!mean_is_loaded) + { + _mean.allocate_and_fill_if_needed(); + } + if(!var_is_loaded) + { + _var.allocate_and_fill_if_needed(); + } + if(!gamma_is_loaded) + { + _gamma.allocate_and_fill_if_needed(); + } + if(!beta_is_loaded) + { + _beta.allocate_and_fill_if_needed(); + } + // Get function return OperationRegistry::get().find_operation(OperationType::BatchNormalizationLayer, _target_hint)->configure(node_ctx); }
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