d0c2e68e5f
* Use .empty() and .data() * Use nullptr instead of 0 * No else after return * Simple class member initialization * Add override for virtual methods * Include C++ instead of C headers * Remove some unused includes * Use default constructors * Always use braces * Consistent names in definition and declaration * Change typedef to using Pull Request: https://projects.blender.org/blender/blender/pulls/132361
57 lines
1.4 KiB
C
57 lines
1.4 KiB
C
/* SPDX-FileCopyrightText: 2021-2022 Intel Corporation
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*
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* SPDX-License-Identifier: Apache-2.0 */
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/* Constant Globals */
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#pragma once
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#include "kernel/types.h"
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#include "kernel/integrator/state.h"
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#include "kernel/util/profiler.h"
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#include "util/color.h"
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#include "util/texture.h"
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CCL_NAMESPACE_BEGIN
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/* NOTE(@nsirgien): With SYCL we can't declare __constant__ global variable, which will be
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* accessible from device code, like it has been done for Cycles CUDA backend. So, the backend will
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* allocate this "constant" memory regions and store pointers to them in oneAPI context class */
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struct IntegratorStateGPU;
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struct IntegratorQueueCounter;
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struct KernelGlobalsGPU {
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#define KERNEL_DATA_ARRAY(type, name) const type *__##name = nullptr;
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#include "kernel/data_arrays.h"
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#undef KERNEL_DATA_ARRAY
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IntegratorStateGPU *integrator_state;
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const KernelData *__data;
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#ifdef WITH_ONEAPI_SYCL_HOST_TASK
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size_t nd_item_local_id_0;
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size_t nd_item_local_range_0;
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size_t nd_item_group_id_0;
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size_t nd_item_group_range_0;
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size_t nd_item_global_id_0;
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size_t nd_item_global_range_0;
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#else
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sycl::kernel_handler kernel_handler;
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#endif
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};
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using KernelGlobals = ccl_global KernelGlobalsGPU *ccl_restrict;
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#define kernel_data (*(__data))
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#define kernel_integrator_state (*(integrator_state))
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/* data lookup defines */
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#define kernel_data_fetch(name, index) __##name[index]
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#define kernel_data_array(name) __##name
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CCL_NAMESPACE_END
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