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+/*
+ * Copyright (c) 2019-2023 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_DEPTHWISE_CONV2D_ASSEMBLY_WRAPPER_KERNEL_H
+#define ARM_COMPUTE_CPU_DEPTHWISE_CONV2D_ASSEMBLY_WRAPPER_KERNEL_H
+
+#include "arm_compute/core/Types.h"
+
+#include "src/core/common/Macros.h"
+#include "src/cpu/ICpuKernel.h"
+#include "src/cpu/kernels/CpuKernelSelectionTypes.h"
+
+namespace arm_conv
+{
+namespace depthwise
+{
+// Forward declarations
+class IDepthwiseCommon;
+} // namespace depthwise
+} // namespace arm_conv
+
+namespace arm_compute
+{
+struct ConvolutionInfo;
+
+namespace cpu
+{
+namespace kernels
+{
+/** This class is a wrapper for the depthwise convolution assembly kernels. */
+class CpuDepthwiseConv2dAssemblyWrapperKernel final : public ICpuKernel<CpuDepthwiseConv2dAssemblyWrapperKernel>
+{
+public:
+ /** Default constructor */
+ CpuDepthwiseConv2dAssemblyWrapperKernel();
+ ~CpuDepthwiseConv2dAssemblyWrapperKernel();
+ ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(CpuDepthwiseConv2dAssemblyWrapperKernel);
+
+ /** Initialise the kernel's src and dst.
+ *
+ * @param[in] src Source tensor info. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
+ * @param[in] weights Weights tensor info. These are 3D tensors with shape [kernel_x, kernel_y, IFM].
+ * Data type supported: same as @p src or QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL when @p src is QASYMM8/QASYMM8_SIGNED.
+ * @param[in] bias Bias tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed.
+ * Data type supported: same as @p src, S32 when @p src is QASYMM8/QASYMM8_SIGNED.
+ * @param[out] dst Destination tensor info. Data type supported: same as @p input.
+ * @param[in] info Depthwise convolution layer meta-data.
+ * @param[in] cpu_info CPU information needed to select the most appropriate kernel.
+ */
+ void configure(const ITensorInfo *src,
+ const ITensorInfo *weights,
+ const ITensorInfo *bias,
+ ITensorInfo *dst,
+ const ConvolutionInfo &info,
+ const CPUInfo &cpu_info);
+
+ /** Indicates whether or not this function can be used to process the given parameters.
+ *
+ * Similar to @ref CpuDepthwiseConv2dAssemblyWrapperKernel::configure()
+ *
+ * @return a status.
+ */
+ static Status validate(const ITensorInfo *src,
+ const ITensorInfo *weights,
+ const ITensorInfo *bias,
+ const ITensorInfo *dst,
+ const ConvolutionInfo &info);
+
+ // Inherited methods overridden:
+ void run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) override;
+ const char *name() const override;
+
+ /** Pack bias and weights in a storage space for the assembly kernel
+ *
+ * @param[in] parameters_ptr Pointer to storage space.
+ * @param[in] bias_ptr Pointer to bias buffer.
+ * @param[in] weights_ptr Pointer to weights buffer.
+ * @param[in] ld_weights_col Columns displacement for the weights tensor.
+ * @param[in] ld_weights_row Rows displacement for the weights tensor.
+ */
+ void pack_parameters(
+ void *parameters_ptr, void *bias_ptr, void *weights_ptr, size_t ld_weights_col, size_t ld_weights_row);
+
+ /** Get the amount of storage space required for the rearranged weights and bias.
+ *
+ * @return size of workspace
+ */
+ size_t get_storage_size() const;
+
+ /** Get size of the workspace needed by the assembly kernel.
+ *
+ * @param[in] num_threads Maximum number of threads that are going to be spawned.
+ *
+ * @return size of workspace
+ */
+ size_t get_working_size(unsigned int num_threads) const;
+
+ /** Was the asm kernel successfully configured?
+ *
+ * @return True if the asm kernel is configured and ready to run
+ */
+ bool is_configured() const;
+
+ /** Return minimum workload size of the relevant kernel
+ *
+ * @param[in] platform The CPU platform used to create the context.
+ * @param[in] thread_count Number of threads in the execution.
+ *
+ * @return[out] small_network_mws Minimum workload size for requsted configuration.
+ */
+ size_t get_mws(const CPUInfo &platform, size_t thread_count) const override;
+
+private:
+ std::unique_ptr<arm_conv::depthwise::IDepthwiseCommon> _kernel_asm;
+ std::vector<int32_t> _multipliers{};
+ std::vector<int32_t> _left_shifts{};
+ std::vector<int32_t> _right_shifts{};
+ std::string _name{};
+};
+} // namespace kernels
+} // namespace cpu
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CPU_DEPTHWISE_CONV2D_ASSEMBLY_WRAPPER_KERNEL_H */