Rename ported functions

Rename CpuPooling to CpuPool2d
Rename CpuPoolingKernel to CpuPool2dKernel
Rename CpuPoolingAssemblyWrapperKernel to CpuPool2dAssemblyWrapperKernel
Move CpuPool2dAssemblyWrapperKernel in internal subfolder
Rename CpuDepthwiseConvolutionNativeKernel to CpuDepthwiseConv2dNativeKernel
Rename CpuDepthwiseConvolutionAssemblyDispatch to CpuDepthwiseConv2dAssemblyDispatch
Rename CpuDepthwiseConvolution to CpuDepthwiseConv2d
Rename CpuDirectConvolutionKernel to CpuDirectConv2dKernel
Rename CpuDirectConvolutionOutputStageKernel to CpuDirectConv2dOutputStageKernel
Rename CpuDirectConvolution to CpuDirectConv2d
Rename ClPoolingKernel to ClPool2dKernel
Rename ClPooling to ClPool2d
Rename ClDirectConvolutionKernel to ClDirectConv2dKernel

Resolves: COMPMID-4405

Change-Id: I8e48f015e4e492a76a7512f5679cb3eb0cd028f6
Signed-off-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5708
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

1 files changed, 107 insertions, 0 deletions

diff --git a/src/runtime/cpu/operators/CpuDirectConv2d.h b/src/runtime/cpu/operators/CpuDirectConv2d.h
new file mode 100644
index 0000000000..9e584b9c49
--- /dev/null
+++ b/src/runtime/cpu/operators/CpuDirectConv2d.h
@@ -0,0 +1,107 @@
+/*
+ * Copyright (c) 2021 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_CPU_DIRECTCONV2D_H
+#define ARM_COMPUTE_CPU_DIRECTCONV2D_H
+
+#include "arm_compute/core/ITensorInfo.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/experimental/Types.h"
+#include "arm_compute/runtime/IMemoryManager.h"
+#include "arm_compute/runtime/MemoryGroup.h"
+#include "arm_compute/runtime/NEON/functions/NEActivationLayer.h"
+#include "arm_compute/runtime/Tensor.h"
+#include "src/core/NEON/kernels/NEFillBorderKernel.h"
+#include "src/core/cpu/ICpuKernel.h"
+#include "src/core/cpu/kernels/CpuDirectConv2dKernel.h"
+#include "src/core/cpu/kernels/CpuDirectConv2dOutputStageKernel.h"
+#include "src/runtime/cpu/ICpuOperator.h"
+#include "src/runtime/cpu/operators/CpuActivation.h"
+
+#include <memory>
+
+namespace arm_compute
+{
+namespace cpu
+{
+/** Function to run the direct convolution.
+ *
+ *  This function calls the following kernels:
+ *
+ * -# @ref NEFillBorderKernel for the input
+ * -# @ref kernels::CpuDirectConv2dOutputStageKernel
+ * -# @ref kernels::CpuDirectConv2dKernel
+ */
+class CpuDirectConv2d : public ICpuOperator
+{
+public:
+    /** Constructor */
+    CpuDirectConv2d(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
+    /** Destructor */
+    ~CpuDirectConv2d();
+    /** Set the input, weights, biases and output tensors.
+     *
+     * @note: DirectConvolution only works in the following configurations:
+     *    1x1 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32
+     *    3x3 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F16/F32
+     *    5x5 convolution with stride_x = 1/2/3, stride_y = 1/2/3 data type = F32
+     *
+     * @param[in, out] src       Input tensor info. Data types supported: F16/F32.
+     * @param[in]      weights   Set of kernels to convolve the input volume.
+     *                           Supported sizes: 1x1, 3x3 and 5x5.
+     *                           The 3rd dimension must be the same as the input's volume 3rd dimension.
+     *                           Data type supported: Same as @p src.
+     * @param[in]      bias      Set of biases. Can be nullptr. Data type supported: Same as @p src.
+     * @param[out]     dst       Output tensor info.
+     *                           The 3rd dimensions must be equal to the 4th dimension of the @p kernels tensor. Data types supported: Same as @p input.
+     * @param[in]      conv_info Contains padding and stride information described in @ref PadStrideInfo.
+     * @param[in]      act_info  (Optional) Activation layer information in case of a fused activation.
+     */
+    void configure(ITensorInfo *src, ITensorInfo *weights, const ITensorInfo *bias, ITensorInfo *dst, const PadStrideInfo &conv_info, const ActivationLayerInfo &act_info = ActivationLayerInfo());
+    /** Static function to check if given info will lead to a valid configuration
+     *
+     * Similar to CpuDirectConv2d::configure()
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *src, const ITensorInfo *weights, const ITensorInfo *bias, const ITensorInfo *dst, const PadStrideInfo &conv_info,
+                           const ActivationLayerInfo &act_info = ActivationLayerInfo());
+
+    // Inherited methods overridden:
+    void run(ITensorPack &tensors) override;
+
+private:
+    MemoryGroup                                                _memory_group;
+    std::unique_ptr<kernels::CpuDirectConv2dOutputStageKernel> _output_stage_kernel;
+    std::unique_ptr<kernels::CpuDirectConv2dKernel>            _conv_kernel;
+    std::unique_ptr<NEFillBorderKernel>                        _input_border_handler;
+    std::unique_ptr<CpuActivation>                             _activationlayer_function;
+    Tensor                                                     _accumulator;
+    bool                                                       _has_bias{ false };
+    bool                                                       _is_activationlayer_enabled{ false };
+    unsigned int                                               _dim_split{ 0 };
+    bool                                                       _is_padding_required{ false };
+};
+} // namespace cpu
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CPU_DIRECTCONV2D_H */