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Diffstat (limited to 'arm_compute/graph/backends/FunctionHelpers.h')
-rw-r--r--arm_compute/graph/backends/FunctionHelpers.h47
1 files changed, 1 insertions, 46 deletions
diff --git a/arm_compute/graph/backends/FunctionHelpers.h b/arm_compute/graph/backends/FunctionHelpers.h
index 18fdb9f3bb..873957e6b7 100644
--- a/arm_compute/graph/backends/FunctionHelpers.h
+++ b/arm_compute/graph/backends/FunctionHelpers.h
@@ -1619,7 +1619,7 @@ std::unique_ptr<IFunction> create_resize_layer(ResizeLayerNode &node)
// Create and configure function
auto func = std::make_unique<ResizeLayerFunction>();
- func->configure(input, output, ScaleKernelInfo{ policy, BorderMode::CONSTANT });
+ func->configure(input, output, ScaleKernelInfo{ policy, BorderMode::CONSTANT, PixelValue(), SamplingPolicy::CENTER, false, false });
// Log info
ARM_COMPUTE_LOG_GRAPH_INFO("Instantiated "
@@ -1840,51 +1840,6 @@ std::unique_ptr<IFunction> create_strided_slice_layer(StridedSliceLayerNode &nod
return RETURN_UNIQUE_PTR(func);
}
-
-/** Create a backend Upsample layer function
- *
- * @tparam UpsampleLayerFunction Backend Upsample function
- * @tparam TargetInfo Target-specific information
- *
- * @param[in] node Node to create the backend function for
- * @param[in] ctx Graph context
- *
- * @return Backend Upsample layer function
- */
-template <typename UpsampleLayerFunction, typename TargetInfo>
-std::unique_ptr<IFunction> create_upsample_layer(UpsampleLayerNode &node, GraphContext &ctx)
-{
- ARM_COMPUTE_UNUSED(ctx);
- 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));
- const Size2D info = node.info();
- const InterpolationPolicy upsampling_policy = node.upsampling_policy();
- ARM_COMPUTE_ERROR_ON(upsampling_policy != InterpolationPolicy::NEAREST_NEIGHBOR);
- ARM_COMPUTE_ERROR_ON(info.x() != 2 || info.y() != 2);
- ARM_COMPUTE_ERROR_ON(input == nullptr);
- ARM_COMPUTE_ERROR_ON(output == nullptr);
-
- // Create and configure function
- auto func = std::make_unique<UpsampleLayerFunction>();
- func->configure(input, output, info, upsampling_policy);
-
- // 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()
- << " Output shape: " << output->info()->tensor_shape()
- << " Strides: " << info
- << " Upsampling policy: " << upsampling_policy
- << std::endl);
-
- return RETURN_UNIQUE_PTR(func);
-}
} // namespace detail
} // namespace backends
} // namespace graph