Fix of linking errors to find CPPSplit symbols when compiling android nn driver

Resolves: COMPMID-4835
Signed-off-by: Ramy Elgammal <ramy.elgammal@arm.com>
Change-Id: I1e768b3f3130316e71b994a9b3fbc81d518d5361
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/6368
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>

1 files changed, 129 insertions, 4 deletions

diff --git a/arm_compute/runtime/CPP/functions/CPPSplit.h b/arm_compute/runtime/CPP/functions/CPPSplit.h
index b797b26960..e2e5add264 100644
--- a/arm_compute/runtime/CPP/functions/CPPSplit.h
+++ b/arm_compute/runtime/CPP/functions/CPPSplit.h
@@ -41,8 +41,10 @@ template <typename SliceType, typename TensorInterfaceType = ITensor>
 class CPPSplit : public IFunction
 {
 public:
-    CPPSplit();
-
+    CPPSplit()
+        : _outputs_vector(), _slice_functions(), _num_outputs(0)
+    {
+    }
     /** Static function to check if given info will lead to a valid configuration of @ref CPPSplit
      *
      * @param[in] input   The input tensor info. Data types supported: All.
@@ -53,7 +55,72 @@ public:
      *
      * @return a status
      */
-    static Status validate(const ITensorInfo *input, const std::vector<ITensorInfo *> &outputs, unsigned int axis);
+    static Status validate(const ITensorInfo *input, const std::vector<ITensorInfo *> &outputs, unsigned int axis)
+    {
+        ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input);
+        ARM_COMPUTE_RETURN_ERROR_ON(axis >= input->num_dimensions());
+        ARM_COMPUTE_RETURN_ERROR_ON(outputs.size() < 2);
+
+        // Get output shape
+        TensorShape  output_shape{};
+        unsigned int total_output_shape_size = 0;
+
+        // Sum the output sizes and fall back to evenly-sized splits if any are zero
+        const bool using_split_shapes = std::none_of(outputs.begin(), outputs.end(), [&total_output_shape_size](ITensorInfo * info)
+        {
+            unsigned int output_shape_size = info->tensor_shape().total_size();
+            total_output_shape_size += output_shape_size;
+            return output_shape_size == 0;
+        });
+
+        if(using_split_shapes)
+        {
+            ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape().total_size() != total_output_shape_size);
+        }
+        else
+        {
+            output_shape = arm_compute::misc::shape_calculator::compute_split_shape(input, axis, outputs.size());
+            ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() == 0);
+        }
+
+        // Validate output tensors
+        unsigned int axis_offset = 0;
+        for(const auto &output : outputs)
+        {
+            ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
+            if(using_split_shapes)
+            {
+                output_shape = output->tensor_shape();
+                ARM_COMPUTE_RETURN_ERROR_ON(output_shape.total_size() == 0);
+            }
+
+            const size_t axis_split_step = output_shape[axis];
+
+            // Start/End coordinates
+            Coordinates start_coords;
+            Coordinates end_coords;
+            for(unsigned int d = 0; d < output_shape.num_dimensions(); ++d)
+            {
+                end_coords.set(d, -1);
+            }
+
+            // Output auto inizialitation if not yet initialized
+            TensorInfo tmp_output_info = *output->clone();
+            if(tmp_output_info.tensor_shape().total_size() == 0)
+            {
+                tmp_output_info = input->clone()->set_is_resizable(true).set_tensor_shape(output_shape);
+            }
+
+            // Update coordinate on axis
+            start_coords.set(axis, axis_offset);
+            end_coords.set(axis, axis_offset + axis_split_step);
+
+            ARM_COMPUTE_RETURN_ON_ERROR(SliceType::validate(input, output, start_coords, end_coords));
+            axis_offset += axis_split_step;
+        }
+
+        return Status{};
+    }
 
     /** Initialise the kernel's input and outputs.
      *
@@ -63,7 +130,65 @@ public:
      *                     from the split dimension.
      * @param[in]  axis    Axis on which to split the input.
      */
-    void configure(const TensorInterfaceType *input, const std::vector<TensorInterfaceType *> &outputs, unsigned int axis);
+    void configure(const TensorInterfaceType *input, const std::vector<TensorInterfaceType *> &outputs, unsigned int axis)
+    {
+        // Create Slice functions
+        _num_outputs = outputs.size();
+        _slice_functions.resize(_num_outputs);
+
+        // Extract output tensor info
+        std::vector<ITensorInfo *> outputs_info;
+        for(auto &output : outputs)
+        {
+            ARM_COMPUTE_ERROR_ON_NULLPTR(output);
+            outputs_info.emplace_back(output->info());
+        }
+
+        // If any of the outputs have a zero size, fall-back to using evenly-sized output splits
+        const bool outputs_have_sizes = std::none_of(outputs_info.begin(), outputs_info.end(), [](ITensorInfo * info)
+        {
+            return info->tensor_shape().total_size() == 0;
+        });
+
+        // Validate
+        ARM_COMPUTE_ERROR_THROW_ON(CPPSplit::validate(input->info(), outputs_info, axis));
+
+        unsigned int axis_offset = 0;
+        unsigned int i           = 0;
+
+        for(const auto &output_info : outputs_info)
+        {
+            // Get output shape
+            TensorShape output_shape = (outputs_have_sizes ?
+                                        output_info->tensor_shape() :
+                                        arm_compute::misc::shape_calculator::compute_split_shape(input->info(), axis, _num_outputs));
+
+            const size_t axis_split_step = output_shape[axis];
+
+            // Start/End coordinates
+            Coordinates start_coords;
+            Coordinates end_coords;
+
+            for(unsigned int d = 0; d < output_shape.num_dimensions(); ++d)
+            {
+                end_coords.set(d, -1);
+            }
+
+            // Update coordinate on axis
+            start_coords.set(axis, axis_offset);
+            end_coords.set(axis, axis_offset + axis_split_step);
+
+            // Configure slice function
+            _slice_functions[i].configure(input, outputs[i], start_coords, end_coords);
+
+            // Set valid region from shape
+            outputs[i]->info()->set_valid_region(ValidRegion(Coordinates(), output_shape));
+
+            // Update axis offset
+            axis_offset += axis_split_step;
+            ++i;
+        }
+    }
 
 protected:
     std::vector<TensorInterfaceType *> _outputs_vector;