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author | Isabella Gottardi <isabella.gottardi@arm.com> | 2019-11-05 17:50:27 +0000 |
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committer | Georgios Pinitas <georgios.pinitas@arm.com> | 2019-11-14 13:32:30 +0000 |
commit | cd4e9abf7a165f15ccd10ac4541365d4f8a6db19 (patch) | |
tree | 442cb14065b866065c1e2837490ae36731a38eef /arm_compute/graph/backends | |
parent | ee8cf3287265436d0d12effa36e876dc251eee8c (diff) | |
download | ComputeLibrary-cd4e9abf7a165f15ccd10ac4541365d4f8a6db19.tar.gz |
COMPMID-2452: Add mnist example
* Add small-mnist example
* Add PrintAccessor
* Add DequantizationLayer graph node
Change-Id: I7bc8011e5a602f40fa3c47b231a2a69c804e78c2
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2274
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Diffstat (limited to 'arm_compute/graph/backends')
-rw-r--r-- | arm_compute/graph/backends/FunctionHelpers.h | 38 | ||||
-rw-r--r-- | arm_compute/graph/backends/ValidateHelpers.h | 20 |
2 files changed, 58 insertions, 0 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h index 02bfe9dc22..960011c1e2 100644 --- a/arm_compute/graph/backends/FunctionHelpers.h +++ b/arm_compute/graph/backends/FunctionHelpers.h @@ -607,6 +607,44 @@ std::unique_ptr<IFunction> create_depthwise_convolution_layer(DepthwiseConvoluti return func; } +/** Create a backend dequantize layer function + * + * @tparam DequantizationLayer Function Backend dequantize function + * @tparam TargetInfo Target-specific information + * + * @param[in] node Node to create the backend function for + * + * @return Backend dequantize layer function + */ +template <typename DequantizationLayerFunction, typename TargetInfo> +std::unique_ptr<IFunction> create_dequantization_layer(DequantizationLayerNode &node) +{ + validate_node<TargetInfo>(node, 1 /* expected inputs */, 1 /* expected outputs */); + + // Extract IO and info + typename TargetInfo::TensorType *input = get_backing_tensor<TargetInfo>(node.input(0)); + typename TargetInfo::TensorType *output = get_backing_tensor<TargetInfo>(node.output(0)); + + ARM_COMPUTE_ERROR_ON(input == nullptr); + ARM_COMPUTE_ERROR_ON(output == nullptr); + + // Create and configure function + auto func = support::cpp14::make_unique<DequantizationLayerFunction>(); + func->configure(input, output); + + // 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() + << " Input quantization info: " << output->info()->quantization_info() + << " Output shape: " << output->info()->tensor_shape() + << std::endl); + + return std::move(func); +} /** Create a backend detection output layer function * * @tparam DetectionOutputLayer Function Backend detection output function diff --git a/arm_compute/graph/backends/ValidateHelpers.h b/arm_compute/graph/backends/ValidateHelpers.h index 9170006d9c..090e2d6b7c 100644 --- a/arm_compute/graph/backends/ValidateHelpers.h +++ b/arm_compute/graph/backends/ValidateHelpers.h @@ -199,7 +199,27 @@ Status validate_depthwise_convolution_layer(DepthwiseConvolutionLayerNode &node) return status; } +/** Validates a dequantize layer node + * + * @tparam DequantizationLayer Dequantize layer type + * + * @param[in] node Node to validate + * + * @return Status + */ +template <typename DequantizationLayer> +Status validate_dequantization_layer(DequantizationLayerNode &node) +{ + ARM_COMPUTE_LOG_GRAPH_VERBOSE("Validating DetectionOutputLayer node with ID : " << node.id() << " and Name: " << node.name() << std::endl); + ARM_COMPUTE_RETURN_ERROR_ON(node.num_inputs() != 1); + ARM_COMPUTE_RETURN_ERROR_ON(node.num_outputs() != 1); + // Extract IO and info + arm_compute::ITensorInfo *input = get_backing_tensor_info(node.input(0)); + arm_compute::ITensorInfo *output = get_backing_tensor_info(node.output(0)); + + return DequantizationLayer::validate(input, output); +} /** Validates a detection output layer node * * @tparam DetectionOutputLayer DetectionOutput layer type |