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-/*
- * Copyright (c) 2018 ARM Limited.
- *
- * SPDX-License-Identifier: MIT
- *
- * Permission is hereby granted, free of charge, to any person obtaining a copy
- * of this software and associated documentation files (the "Software"), to
- * deal in the Software without restriction, including without limitation the
- * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
- * sell copies of the Software, and to permit persons to whom the Software is
- * furnished to do so, subject to the following conditions:
- *
- * The above copyright notice and this permission notice shall be included in all
- * copies or substantial portions of the Software.
- *
- * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
- * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
- * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
- * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
- * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
- * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
- * SOFTWARE.
- */
-#ifndef __ARM_COMPUTE_GRAPH2_BACKENDS_DETAIL_VALIDATE_HELPERS_H__
-#define __ARM_COMPUTE_GRAPH2_BACKENDS_DETAIL_VALIDATE_HELPERS_H__
-
-#include "arm_compute/graph2/Logger.h"
-#include "arm_compute/graph2/Tensor.h"
-#include "arm_compute/graph2/Types.h"
-#include "arm_compute/graph2/nodes/Nodes.h"
-
-#include "arm_compute/core/Error.h"
-#include "arm_compute/core/ITensorInfo.h"
-
-namespace arm_compute
-{
-namespace graph2
-{
-namespace backends
-{
-namespace detail
-{
-/** Returns backing tensor info of a given tensor
- *
- * @param[in] tensor Tensor to extract the backing tensor from
- *
- * @return Backing tensor tensor info if present else nullptr
- */
-inline arm_compute::ITensorInfo *get_backing_tensor_info(arm_compute::graph2::Tensor *tensor)
-{
- return ((tensor == nullptr) || (tensor->handle() == nullptr)) ? nullptr : tensor->handle()->tensor().info();
-}
-
-/** Validates a Convolution layer node
- *
- * @tparam ConvolutionLayer Default Convolution layer function type
- * @tparam DirectConvolutionLayer Direct Convolution layer function type
- * @tparam GEMMConvolutionLayer GEMM Convolution layer function type
- * @tparam WinogradConvolutionLayer Winograd Convolution layer function type
- *
- * @param[in] node Node to validate
- *
- * @return Status
- */
-template <typename ConvolutionLayer, typename DirectConvolutionLayer, typename GEMMConvolutionLayer, typename WinogradConvolutionLayer>
-Status validate_convolution_layer(ConvolutionLayerNode &node)
-{
- ARM_COMPUTE_LOG_GRAPH_VERBOSE("Validating ConvolutionLayer node with ID : " << node.id() << " and Name: " << node.name() << std::endl);
- ARM_COMPUTE_RETURN_ERROR_ON(node.num_inputs() != 3);
- 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 *weights = get_backing_tensor_info(node.input(1));
- arm_compute::ITensorInfo *biases = get_backing_tensor_info(node.input(2));
- arm_compute::ITensorInfo *output = get_backing_tensor_info(node.output(0));
- const PadStrideInfo conv_info = node.convolution_info();
- const ConvolutionMethod conv_algorithm = node.convolution_method();
-
- // Validate function
- Status status{};
- switch(conv_algorithm)
- {
- case ConvolutionMethod::DIRECT:
- status = DirectConvolutionLayer::validate(input, weights, biases, output, conv_info);
- break;
- case ConvolutionMethod::GEMM:
- status = GEMMConvolutionLayer::validate(input, weights, biases, output, conv_info);
- break;
- case ConvolutionMethod::WINOGRAD:
- status = WinogradConvolutionLayer::validate(input, weights, biases, output, conv_info);
- break;
- default:
- break;
- }
-
- // If validation fails try the Default approach
- if(!bool(status) || (conv_algorithm == ConvolutionMethod::DEFAULT))
- {
- status = ConvolutionLayer::validate(input, weights, biases, output, conv_info);
- if(bool(status))
- {
- ARM_COMPUTE_LOG_GRAPH_INFO("Switched ConvolutionLayer method of node with ID : "
- << node.id() << " and Name: " << node.name() << std::endl);
- node.set_convolution_method(ConvolutionMethod::DEFAULT);
- }
- }
-
- return status;
-}
-
-/** Validates a Depthwise Convolution layer node
- *
- * @tparam DepthwiseConvolutionLayer Default Depthwise Convolution layer type
- * @tparam DepthwiseConvolutionLayer3x3 Optimized 3x3 Depthwise Convolution layer type
- *
- * @param[in] node Node to validate
- *
- * @return Status
- */
-template <typename DepthwiseConvolutionLayer, typename DepthwiseConvolutionLayer3x3>
-Status validate_depthwise_convolution_layer(DepthwiseConvolutionLayerNode &node)
-{
- ARM_COMPUTE_LOG_GRAPH_VERBOSE("Validating DepthwiseConvolutionLayer node with ID : " << node.id() << " and Name: " << node.name() << std::endl);
- ARM_COMPUTE_RETURN_ERROR_ON(node.num_inputs() != 3);
- ARM_COMPUTE_RETURN_ERROR_ON(node.num_outputs() != 1);
-
- // Extract IO and info
- arm_compute::ITensorInfo *weights = detail::get_backing_tensor_info(node.input(1));
- const DepthwiseConvolutionMethod dwc_algorithm = node.depthwise_convolution_method();
- ARM_COMPUTE_ERROR_ON(weights == nullptr);
-
- // TODO (geopin01) : Switch when validation is implemented
- // Validate function
- if((dwc_algorithm == DepthwiseConvolutionMethod::OPTIMIZED_3x3) && (weights->tensor_shape().x() != 3))
- {
- ARM_COMPUTE_LOG_GRAPH_INFO("Switched DepthwiseConvolutionLayer method of node with ID : "
- << node.id() << " and Name: " << node.name() << std::endl);
- node.set_depthwise_convolution_method(DepthwiseConvolutionMethod::DEFAULT);
- }
-
- return Status{};
-}
-} // namespace detail
-} // namespace backends
-} // namespace graph2
-} // namespace arm_compute
-
-#endif /* __ARM_COMPUTE_GRAPH2_BACKENDS_DETAIL_VALIDATE_HELPERS_H__ */