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| author | Giorgio Arena <giorgio.arena@arm.com> | 2020-01-03 15:02:04 +0000 |
|---|---|---|
| committer | Michele Di Giorgio <michele.digiorgio@arm.com> | 2020-01-16 10:19:25 +0000 |
| commit | 6e9d0e048b48712f4f72d4b0a5b94a277391a357 (patch) | |
| tree | 5a2d181062a5ed7d61f8d3621b34022f03e45dd8 /arm_compute/graph/backends/FunctionHelpers.h | |
| parent | 8c837ca85c06c53ccca20937be9dfd74d00d597a (diff) | |
| download | ComputeLibrary-6e9d0e048b48712f4f72d4b0a5b94a277391a357.tar.gz | |
COMPMID-2856 Add PrintLayer at graph level
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Change-Id: I8f02bb67adae8cc7d884f2417cc9c408985f0d5a
Reviewed-on: https://review.mlplatform.org/c/2546
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/graph/backends/FunctionHelpers.h')
| -rw-r--r-- | arm_compute/graph/backends/FunctionHelpers.h | 31 |
1 files changed, 30 insertions, 1 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h index a02e323b8d..bf0250c623 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2018-2019 ARM Limited. + * Copyright (c) 2018-2020 ARM Limited. * * SPDX-License-Identifier: MIT * @@ -1149,6 +1149,35 @@ std::unique_ptr<IFunction> create_pooling_layer(PoolingLayerNode &node) return std::move(func); } +/** Create a backend print layer function + * + * @tparam TargetInfo Target-specific information + * + * @param[in] node Node to create the backend function for + * + * @return Backend print layer function + */ +template <typename TargetInfo> +std::unique_ptr<IFunction> create_print_layer(PrintLayerNode &node) +{ + validate_node<TargetInfo>(node, 1 /* expected inputs */, 1 /* expected outputs */); + + typename TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0)); + ARM_COMPUTE_ERROR_ON(input == nullptr); + ARM_COMPUTE_UNUSED(input); + + // Log info + ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated " + << node.name() + << " Type: " << node.type() + << " Target: " << TargetInfo::TargetType + << " Data Type: " << input->info()->data_type() + << " Input shape: " << input->info()->tensor_shape() + << std::endl); + + return nullptr; +} + /** Create a backend priorbox layer function * * @tparam PriorBoxLayerFunction Backend priorbox function |