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/*
* Copyright (c) 2020-2021 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_CL_CLUTILS_H
#define ARM_COMPUTE_CL_CLUTILS_H
#include "arm_compute/core/CL/OpenCL.h"
#include "arm_compute/core/experimental/IPostOp.h"
namespace arm_compute
{
class TensorShape;
class CLBuildOptions;
class ITensorInfo;
/** Create a cl::Image2D object from an OpenCL buffer
*
* @note The following conditions are required to create a OpenCL image object from OpenCL buffer,
* -# The platform should support the OpenCL cl_khr_image2d_from_buffer extension
* -# The stride Y for the input1 should satisfy the OpenCL pitch alignment requirement
* -# input width should be less or equal to (CL_DEVICE_IMAGE2D_MAX_WIDTH * 4)
* -# input height should be less or equal to CL_DEVICE_IMAGE2D_MAX_HEIGHT
*
* It is user responsibility to ensure the above conditions are satisfied since no checks are performed within this function
*
* @param[in] ctx cl::Context object
* @param[in] buffer cl::Buffer object from which the OpenCL image2d object is created
* @param[in] shape2d 2D tensor shape
* @param[in] data_type DataType to use. Only supported: F32,F16
* @param[in] image_row_pitch Image row pitch (a.k.a. stride Y) to be used in the image2d object
*
* @return cl::Image2D object
*/
cl::Image2D create_image2d_from_buffer(const cl::Context &ctx, const cl::Buffer &buffer, const TensorShape &shape2d, DataType data_type, size_t image_row_pitch);
namespace experimental
{
/** @name (EXPERIMENTAL_POST_OPS)
* @{
*/
/** Manage validation, building and configurations of PostOp CL kernels */
class PostOpCLKernelUtils final
{
public:
/** CL kernel name postfix for post ops */
using NamePostfix = std::string;
/** CL kernels that supports post ops assign each post op to a 'slot', in accordance with the postfix
* For example, for a kernel with postfix '_act_prelu_eltwiseadd', there are 3 slots
* slot 1: (unary) activation, slot 2: pRelu, slot 3: elementwise addition
*
* Some kernels may allow some slots to be optional, to support multiple combinations of post op sequences.
* In such cases, we need to explicitly set up a mapping between each post op and the slots for that kernel.
* For example, suppose we have 2 kernels with postfixes: _eltwiseadd_prelu, _act_eltwiseadd_act_prelu, where the activations in the
* second kernel are optional. Say we want to support an eltwise addition, followed by a prelu (sequence { eltwiseadd, prelu }).
* Now we can choose which one of the 2 kernels to use, since they both support this post op sequence.
* We can either:
* 1. assign the elementwise to slot 1 and prelu to slot 2 of kernel 1
* { { Eltwise_Add, PRelu } -> {"_eltwise_act", {1, 2} } } or
* 2. assign the elementwise to slot 2 and prelu to slot 4 of kernel 1
* { { Eltwise_Add, PRelu } -> {"_act_eltwiseadd_act_prelu", {2, 4} } }
*/
using Slots = std::vector<unsigned int>;
using Config = std::map<PostOpTypeSequence, std::tuple<NamePostfix, Slots>>;
public:
explicit PostOpCLKernelUtils(const Config &config);
/** Check if post op argument tensor shapes are compliant
* All post ops must not alter the shape of the original dst tensor (even after broadcasting)
*
* @param[in] dst Dst tensor to apply the post ops to
* @param[in] post_ops Post ops
*
* @return true if shapes are compliant and false otherwise
*/
static bool are_post_op_shapes_compliant(const ITensorInfo *dst, const experimental::PostOpList<ITensorInfo *> &post_ops);
/** Check if the post op sequence is supported in the current configuration
*
* @param[in] post_ops Post ops
*
* @return true if the post op sequence is supported and false otherwise
*/
bool is_post_op_sequence_supported(const PostOpList<ITensorInfo *> &post_ops) const;
/** Helper function to set PostOp related build options
* @note Convention
* 1. Each post op "slot" is prefixed with "P<slot number>", followed by the usual parameters for that post op.
* E.g. If the first slot is an activation, we need to pass 3 definitions in this way:
* -P1_ACTIVATION_TYPE=... -P1_ACTIVATION_A_VAL=... -P1_ACTIVATION_B_VAL=...
*
* 2. For multi-ary post ops, to pass the position of the previous op's dest tensor,
* we append "_X_POS_<pos>" to the post op type.
* E.g. for a single post op add(dst, x), where dst is the result of the main op.
* In this case, the position of the previous op's dest is 0, so we pass
* -P1_ELTWISE_OP=ADD_X_POS_0
*
* @param[out] built_opts OpenCL kernel build options
* @param[in] post_ops Post ops
*
*/
void set_post_ops_cl_build_options(CLBuildOptions &built_opts, const PostOpList<ITensorInfo *> &post_ops) const;
/** Helper function to set PostOp kernel name
*
* @param[out] kernel_name OpenCL kernel name
* @param[in] post_ops Post ops
*
*/
void set_post_ops_cl_kernel_name(std::string &kernel_name, const PostOpList<ITensorInfo *> &post_ops) const;
private:
Config _supported_config{};
};
/** @} */ // end of group (EXPERIMENTAL_POST_OPS)
} // namespace experimental
} // arm_compute
#endif /* ARM_COMPUTE_CL_CLUTILS_H */