diff options
Diffstat (limited to 'arm_compute/runtime/CPP/functions')
-rw-r--r-- | arm_compute/runtime/CPP/functions/CPPSplit.h | 133 |
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; |