Class ClDirectConv2d

src/gpu/cl/operators/ClDirectConv2d.h:44–90

Basic function to simulate a directly convolution layer. This function calls the following OpenCL kernels: * * -# @ref CLFillBorderKernel (executed if padding size is different from zero) * -# @ref opencl::ClDirectConv2d */

 * -# @ref opencl::ClDirectConv2d
 */
class ClDirectConv2d : public IClOperator
{
public:
    ClDirectConv2d() = default;
    /** Set the src and dst tensors.
     *
     * @param[in]  compile_context The compile context to be used.
     * @param[in]  src             Source tensor. 3 lower dimensions represent a single src [width, height, IFM],
     *                             while every optional dimension from 4 and above represent a batch of srcs.
     *                             Data types supported: QASYMM8_SIGNED/QASYMM8/F16/F32.
     * @param[in]  weights         Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p src.
     * @param[in]  biases          Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
     *                             Data type supported: Should match @p src data type, except for src of QASYMM8 and QASYMM8_SIGNED type where biases should be of S32 type.
     * @param[out] dst             Destination tensor. 3 lower dimensions represent a single dst [width, height, OFM], while the rest represent batch of dsts.
     *                             Data types supported: Same as @p src.
     * @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(const CLCompileContext    &compile_context,
                   ITensorInfo               *src,
                   ITensorInfo               *weights,
                   ITensorInfo               *biases,
                   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 ClDirectConv2d::configure()
     *
     * @return a status
     */
    static Status validate(const ITensorInfo         *src,
                           const ITensorInfo         *weights,
                           const ITensorInfo         *biases,
                           const ITensorInfo         *dst,
                           const PadStrideInfo       &conv_info,
                           const ActivationLayerInfo &act_info = ActivationLayerInfo());

    // Inherited method overridden
    void run(ITensorPack &tensors) override;

private:
    std::unique_ptr<IClKernel> _direct_conv_kernel{nullptr};
    std::unique_ptr<IClKernel> _src_border_handler{nullptr};
    std::unique_ptr<IClKernel> _activation_kernel{nullptr};
};
} // namespace opencl
} // namespace arm_compute
#endif /* ARM_COMPUTE_CL_DIRECT_CONV2D_H */