--- /dev/null
+/*
+ * Copyright (c) 2018-2020 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_CL_REDUCE_SUM_H
+#define ARM_COMPUTE_CL_REDUCE_SUM_H
+
+#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
+#include "arm_compute/runtime/CL/functions/CLElementwiseOperations.h"
+#include "arm_compute/runtime/CL/functions/CLReductionOperation.h"
+#include "arm_compute/runtime/CL/functions/CLReshapeLayer.h"
+#include "arm_compute/runtime/IMemoryManager.h"
+
+namespace arm_compute
+{
+// Forward Declarations
+class ICLTensor;
+
+/** Basic function to perform reduce operation */
+class CLReduceSum : public IFunction
+{
+public:
+ /** Default constructor */
+ CLReduceSum(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+ /** Configure kernel
+ *
+ * @note Supported tensor rank: up to 4
+ *
+ * @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32
+ * @param[in] reduction_axis Reduction axis vector.
+ * @param[in] keep_dims If positive, retains reduced dimensions with length 1.
+ * @param[out] output Destination tensor. Data type supported: Same as @p input
+ */
+ void configure(ICLTensor *input, const Coordinates &reduction_axis, bool keep_dims, ICLTensor *output);
+ /** Configure kernel
+ *
+ * @note Supported tensor rank: up to 4
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32
+ * @param[in] reduction_axis Reduction axis vector.
+ * @param[in] keep_dims If positive, retains reduced dimensions with length 1.
+ * @param[out] output Destination tensor. Data type supported: Same as @p input
+ */
+ void configure(const CLCompileContext &compile_context, ICLTensor *input, const Coordinates &reduction_axis, bool keep_dims, ICLTensor *output);
+
+ /** Static function to check if given info will lead to a valid configuration of @ref CLReduceSum
+ *
+ * @param[in] input Source tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32
+ * @param[in] reduction_axis Reduction axis vector.
+ * @param[in] keep_dims If positive, retains reduced dimensions with length 1.
+ * @param[in] output Destination tensor. Data type supported: Same as @p input
+ *
+ * @return A status
+ */
+ static Status validate(const ITensorInfo *input, const Coordinates &reduction_axis, bool keep_dims, const ITensorInfo *output);
+
+ // Inherited methods overridden:
+ void run() override;
+
+private:
+ MemoryGroup _memory_group;
+ std::vector<CLReductionOperation> _reduction_kernels;
+ std::vector<CLTensor> _reduced_outs;
+ CLReshapeLayer _reshape;
+ int _reduction_ops;
+ bool _keep_dims;
+};
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_REDUCE_SUM_H */
--- /dev/null
+/*
+ * Copyright (c) 2018-2020 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.
+ */
+#include "arm_compute/runtime/CL/functions/CLReduceSum.h"
+
+#include "arm_compute/core/CL/CLValidate.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/CL/kernels/CLReductionOperationKernel.h"
+#include "arm_compute/core/Error.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+
+namespace arm_compute
+{
+namespace
+{
+Status validate_config(const ITensorInfo *input, const Coordinates &reduction_axis, bool keep_dims, const ITensorInfo *output)
+{
+ ARM_COMPUTE_UNUSED(keep_dims);
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON(reduction_axis.num_dimensions() < 1);
+ ARM_COMPUTE_RETURN_ERROR_ON(reduction_axis.num_dimensions() > input->num_dimensions());
+
+ const unsigned int reduction_ops = reduction_axis.num_dimensions();
+ const int input_dims = input->num_dimensions();
+ Coordinates axis_local = reduction_axis;
+
+ for(unsigned int i = 0; i < axis_local.num_dimensions(); ++i)
+ {
+ //axis: The dimensions to reduce. Must be in the range [-rank(input_tensor), rank(input_tensor)).
+ ARM_COMPUTE_RETURN_ERROR_ON(axis_local[i] < (-static_cast<int>(input->num_dimensions())));
+ ARM_COMPUTE_RETURN_ERROR_ON(axis_local[i] >= static_cast<int>(input->num_dimensions()));
+ }
+
+ if(output->tensor_shape().total_size() != 0)
+ {
+ // Only validate if not using auto_init for the output tensor
+ TensorShape out_shape = input->tensor_shape();
+ // Validate output_shape only if not using auto_init
+ convert_negative_axis(axis_local, input_dims);
+ std::sort(axis_local.begin(), axis_local.begin() + reduction_ops);
+ for(unsigned int i = 0; i < reduction_ops; ++i)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON(axis_local[i] > 3);
+ ARM_COMPUTE_RETURN_ERROR_ON(static_cast<unsigned int>(axis_local[i]) > input->num_dimensions() - 1);
+ if(output->total_size() > 0 && keep_dims)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(axis_local[i]) != 1);
+ }
+ if(keep_dims)
+ {
+ out_shape.set(axis_local[i], 1);
+ }
+ else
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON(i > static_cast<unsigned int>(axis_local[i]));
+ const unsigned int remove_index = axis_local[i] - i;
+ ARM_COMPUTE_RETURN_ERROR_ON(remove_index >= out_shape.num_dimensions());
+ out_shape.remove_dimension(remove_index);
+ }
+ }
+ const TensorInfo out_info = input->clone()->set_tensor_shape(out_shape);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &out_info);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
+ }
+ return Status{};
+}
+}
+CLReduceSum::CLReduceSum(std::shared_ptr<IMemoryManager> memory_manager)
+ : _memory_group(std::move(memory_manager)), _reduction_kernels(), _reduced_outs(), _reshape(), _reduction_ops(), _keep_dims()
+{
+}
+void CLReduceSum::configure(ICLTensor *input, const Coordinates &reduction_axis, bool keep_dims, ICLTensor *output)
+{
+ configure(CLKernelLibrary::get().get_compile_context(), input, reduction_axis, keep_dims, output);
+}
+
+void CLReduceSum::configure(const CLCompileContext &compile_context, ICLTensor *input, const Coordinates &reduction_axis, bool keep_dims, ICLTensor *output)
+{
+ // Perform validate step
+ ARM_COMPUTE_ERROR_THROW_ON(CLReduceSum::validate(input->info(), reduction_axis, keep_dims, output->info()));
+ // Output auto inizialitation if not yet initialized
+ const TensorShape output_shape = arm_compute::misc::shape_calculator::calculate_reduce_mean_shape(input, reduction_axis, keep_dims);
+ auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape));
+
+ _reduction_ops = reduction_axis.num_dimensions();
+ _reduction_kernels.resize(_reduction_ops);
+ _reduced_outs.resize(_reduction_ops - (keep_dims ? 1 : 0));
+ _keep_dims = keep_dims;
+
+ Coordinates axis_local = reduction_axis;
+ const int input_dims = input->info()->num_dimensions();
+
+ convert_negative_axis(axis_local, input_dims);
+
+ // Perform reduction for every axis
+ for(int i = 0; i < _reduction_ops; ++i)
+ {
+ TensorShape out_shape = i == 0 ? input->info()->tensor_shape() : (&_reduced_outs[i - 1])->info()->tensor_shape();
+ out_shape.set(axis_local[i], 1);
+ auto in = (i == 0) ? input : (&_reduced_outs[i - 1]);
+
+ if(i == _reduction_ops - 1 && keep_dims)
+ {
+ _reduction_kernels[i].configure(compile_context, in, output, axis_local[i], ReductionOperation::SUM);
+ }
+ else
+ {
+ _reduced_outs[i].allocator()->init(TensorInfo(out_shape, input->info()->num_channels(), input->info()->data_type(), input->info()->quantization_info()));
+ _memory_group.manage(&_reduced_outs[i]);
+ _reduction_kernels[i].configure(compile_context, in, &_reduced_outs[i], axis_local[i], ReductionOperation::SUM);
+ }
+ }
+
+ // Allocate intermediate tensors
+ for(int i = 0; i < _reduction_ops - (keep_dims ? 1 : 0); ++i)
+ {
+ _reduced_outs[i].allocator()->allocate();
+ }
+
+ // Configure reshape layer if we want to drop the dimensions
+ if(!keep_dims)
+ {
+ TensorShape out_shape = input->info()->tensor_shape();
+
+ // We have to sort the reduction axis vectors in order for remove_dimension
+ // to work properly
+ std::sort(axis_local.begin(), axis_local.begin() + _reduction_ops);
+ for(int i = 0; i < _reduction_ops; ++i)
+ {
+ out_shape.remove_dimension(axis_local[i] - i);
+ }
+ auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(out_shape));
+ _reshape.configure(compile_context, &_reduced_outs[_reduction_ops - 1], output);
+ }
+}
+
+Status CLReduceSum::validate(const ITensorInfo *input, const Coordinates &reduction_axis, bool keep_dims, const ITensorInfo *output)
+{
+ return validate_config(input, reduction_axis, keep_dims, output);
+}
+
+void CLReduceSum::run()
+{
+ MemoryGroupResourceScope scope_mg(_memory_group);
+
+ for(auto &kernel : _reduction_kernels)
+ {
+ kernel.run();
+ }
+
+ if(!_keep_dims)
+ {
+ _reshape.run();
+ }
+}
+} // namespace arm_compute
projects / platform / upstream / armcl.git / commitdiff