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test/intern/cycles/kernel/device/gpu/parallel_active_index.h

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/* SPDX-License-Identifier: Apache-2.0
* Copyright 2021-2022 Blender Foundation */
#pragma once
CCL_NAMESPACE_BEGIN
/* Given an array of states, build an array of indices for which the states
* are active.
*
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* Shared memory requirement is `sizeof(int) * (number_of_warps + 1)`. */
#include "util/atomic.h"
#ifdef __HIP__
# define GPU_PARALLEL_ACTIVE_INDEX_DEFAULT_BLOCK_SIZE 1024
#else
# define GPU_PARALLEL_ACTIVE_INDEX_DEFAULT_BLOCK_SIZE 512
#endif
#ifndef __KERNEL_METAL__
template<uint blocksize, typename IsActiveOp>
__device__
#endif
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void
gpu_parallel_active_index_array_impl(const uint num_states,
ccl_global int *indices,
ccl_global int *num_indices,
Cycles: Adapt shared kernel/device/gpu layer for MSL This patch adapts the shared kernel entrypoints so that they can be compiled as MSL (Metal Shading Language). Where possible, the adaptations avoid changes in common code. In MSL, kernel function inputs are explicitly bound to resources. In the case of argument buffers, we declare a struct containing the kernel arguments, accessible via device pointer. This differs from CUDA and HIP where kernel function arguments are declared as traditional C-style function parameters. This patch adapts the entrypoints declared in kernel.h so that they can be translated via a new `ccl_gpu_kernel_signature` macro into the required parameter struct + kernel entrypoint pairing for MSL. MSL buffer attribution must be applied to function parameters or non-static class data members. To allow universal access to the integrator state, kernel data, and texture fetch adapters, we wrap all of the shared kernel code in a `MetalKernelContext` class. This is achieved by bracketing the appropriate kernel headers with "context_begin.h" and "context_end.h" on Metal. When calling deeper into the kernel code, we must reference the context class (e.g. `context.integrator_init_from_camera`). This extra prefixing is performed by a set of defines in "context_end.h". These will require explicit maintenance if entrypoints change. We invite discussion on more maintainable ways to enforce correctness. Lambda expressions are not supported on MSL, so a new `ccl_gpu_kernel_lambda` macro generates an inline function object and optionally capturing any required state. This yields the same behaviour. This approach is applied to all parallel_... implementations which are templated by operation. The lambda expressions in the film_convert... kernels don't adapt cleanly to use function objects. However, these entrypoints can be macro-generated more concisely to avoid lambda expressions entirely, instead relying on constant folding to handle the pixel/channel conversions. A separate implementation of `gpu_parallel_active_index_array` is provided for Metal to workaround some subtle differences in SIMD width, and also to encapsulate some required thread parameters which must be declared as explicit entrypoint function parameters. Ref T92212 Reviewed By: brecht Maniphest Tasks: T92212 Differential Revision: https://developer.blender.org/D13109
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#ifdef __KERNEL_METAL__
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const uint is_active,
const uint blocksize,
const int thread_index,
const uint state_index,
const int ccl_gpu_warp_size,
const int thread_warp,
const int warp_index,
const int num_warps,
threadgroup int *warp_offset)
{
Cycles: Adapt shared kernel/device/gpu layer for MSL This patch adapts the shared kernel entrypoints so that they can be compiled as MSL (Metal Shading Language). Where possible, the adaptations avoid changes in common code. In MSL, kernel function inputs are explicitly bound to resources. In the case of argument buffers, we declare a struct containing the kernel arguments, accessible via device pointer. This differs from CUDA and HIP where kernel function arguments are declared as traditional C-style function parameters. This patch adapts the entrypoints declared in kernel.h so that they can be translated via a new `ccl_gpu_kernel_signature` macro into the required parameter struct + kernel entrypoint pairing for MSL. MSL buffer attribution must be applied to function parameters or non-static class data members. To allow universal access to the integrator state, kernel data, and texture fetch adapters, we wrap all of the shared kernel code in a `MetalKernelContext` class. This is achieved by bracketing the appropriate kernel headers with "context_begin.h" and "context_end.h" on Metal. When calling deeper into the kernel code, we must reference the context class (e.g. `context.integrator_init_from_camera`). This extra prefixing is performed by a set of defines in "context_end.h". These will require explicit maintenance if entrypoints change. We invite discussion on more maintainable ways to enforce correctness. Lambda expressions are not supported on MSL, so a new `ccl_gpu_kernel_lambda` macro generates an inline function object and optionally capturing any required state. This yields the same behaviour. This approach is applied to all parallel_... implementations which are templated by operation. The lambda expressions in the film_convert... kernels don't adapt cleanly to use function objects. However, these entrypoints can be macro-generated more concisely to avoid lambda expressions entirely, instead relying on constant folding to handle the pixel/channel conversions. A separate implementation of `gpu_parallel_active_index_array` is provided for Metal to workaround some subtle differences in SIMD width, and also to encapsulate some required thread parameters which must be declared as explicit entrypoint function parameters. Ref T92212 Reviewed By: brecht Maniphest Tasks: T92212 Differential Revision: https://developer.blender.org/D13109
2021-11-09 21:30:46 +00:00
#else
IsActiveOp is_active_op)
{
extern ccl_gpu_shared int warp_offset[];
const uint thread_index = ccl_gpu_thread_idx_x;
const uint thread_warp = thread_index % ccl_gpu_warp_size;
const uint warp_index = thread_index / ccl_gpu_warp_size;
const uint num_warps = blocksize / ccl_gpu_warp_size;
const uint state_index = ccl_gpu_block_idx_x * blocksize + thread_index;
/* Test if state corresponding to this thread is active. */
const uint is_active = (state_index < num_states) ? is_active_op(state_index) : 0;
Cycles: Adapt shared kernel/device/gpu layer for MSL This patch adapts the shared kernel entrypoints so that they can be compiled as MSL (Metal Shading Language). Where possible, the adaptations avoid changes in common code. In MSL, kernel function inputs are explicitly bound to resources. In the case of argument buffers, we declare a struct containing the kernel arguments, accessible via device pointer. This differs from CUDA and HIP where kernel function arguments are declared as traditional C-style function parameters. This patch adapts the entrypoints declared in kernel.h so that they can be translated via a new `ccl_gpu_kernel_signature` macro into the required parameter struct + kernel entrypoint pairing for MSL. MSL buffer attribution must be applied to function parameters or non-static class data members. To allow universal access to the integrator state, kernel data, and texture fetch adapters, we wrap all of the shared kernel code in a `MetalKernelContext` class. This is achieved by bracketing the appropriate kernel headers with "context_begin.h" and "context_end.h" on Metal. When calling deeper into the kernel code, we must reference the context class (e.g. `context.integrator_init_from_camera`). This extra prefixing is performed by a set of defines in "context_end.h". These will require explicit maintenance if entrypoints change. We invite discussion on more maintainable ways to enforce correctness. Lambda expressions are not supported on MSL, so a new `ccl_gpu_kernel_lambda` macro generates an inline function object and optionally capturing any required state. This yields the same behaviour. This approach is applied to all parallel_... implementations which are templated by operation. The lambda expressions in the film_convert... kernels don't adapt cleanly to use function objects. However, these entrypoints can be macro-generated more concisely to avoid lambda expressions entirely, instead relying on constant folding to handle the pixel/channel conversions. A separate implementation of `gpu_parallel_active_index_array` is provided for Metal to workaround some subtle differences in SIMD width, and also to encapsulate some required thread parameters which must be declared as explicit entrypoint function parameters. Ref T92212 Reviewed By: brecht Maniphest Tasks: T92212 Differential Revision: https://developer.blender.org/D13109
2021-11-09 21:30:46 +00:00
#endif
/* For each thread within a warp compute how many other active states precede it. */
const uint thread_offset = popcount(ccl_gpu_ballot(is_active) &
ccl_gpu_thread_mask(thread_warp));
/* Last thread in warp stores number of active states for each warp. */
if (thread_warp == ccl_gpu_warp_size - 1) {
warp_offset[warp_index] = thread_offset + is_active;
}
ccl_gpu_syncthreads();
/* Last thread in block converts per-warp sizes to offsets, increments global size of
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* index array and gets offset to write to. */
if (thread_index == blocksize - 1) {
/* TODO: parallelize this. */
int offset = 0;
for (int i = 0; i < num_warps; i++) {
int num_active = warp_offset[i];
warp_offset[i] = offset;
offset += num_active;
}
const uint block_num_active = warp_offset[warp_index] + thread_offset + is_active;
warp_offset[num_warps] = atomic_fetch_and_add_uint32(num_indices, block_num_active);
}
ccl_gpu_syncthreads();
/* Write to index array. */
if (is_active) {
const uint block_offset = warp_offset[num_warps];
indices[block_offset + warp_offset[warp_index] + thread_offset] = state_index;
}
}
Cycles: Adapt shared kernel/device/gpu layer for MSL This patch adapts the shared kernel entrypoints so that they can be compiled as MSL (Metal Shading Language). Where possible, the adaptations avoid changes in common code. In MSL, kernel function inputs are explicitly bound to resources. In the case of argument buffers, we declare a struct containing the kernel arguments, accessible via device pointer. This differs from CUDA and HIP where kernel function arguments are declared as traditional C-style function parameters. This patch adapts the entrypoints declared in kernel.h so that they can be translated via a new `ccl_gpu_kernel_signature` macro into the required parameter struct + kernel entrypoint pairing for MSL. MSL buffer attribution must be applied to function parameters or non-static class data members. To allow universal access to the integrator state, kernel data, and texture fetch adapters, we wrap all of the shared kernel code in a `MetalKernelContext` class. This is achieved by bracketing the appropriate kernel headers with "context_begin.h" and "context_end.h" on Metal. When calling deeper into the kernel code, we must reference the context class (e.g. `context.integrator_init_from_camera`). This extra prefixing is performed by a set of defines in "context_end.h". These will require explicit maintenance if entrypoints change. We invite discussion on more maintainable ways to enforce correctness. Lambda expressions are not supported on MSL, so a new `ccl_gpu_kernel_lambda` macro generates an inline function object and optionally capturing any required state. This yields the same behaviour. This approach is applied to all parallel_... implementations which are templated by operation. The lambda expressions in the film_convert... kernels don't adapt cleanly to use function objects. However, these entrypoints can be macro-generated more concisely to avoid lambda expressions entirely, instead relying on constant folding to handle the pixel/channel conversions. A separate implementation of `gpu_parallel_active_index_array` is provided for Metal to workaround some subtle differences in SIMD width, and also to encapsulate some required thread parameters which must be declared as explicit entrypoint function parameters. Ref T92212 Reviewed By: brecht Maniphest Tasks: T92212 Differential Revision: https://developer.blender.org/D13109
2021-11-09 21:30:46 +00:00
#ifdef __KERNEL_METAL__
# define gpu_parallel_active_index_array(dummy, num_states, indices, num_indices, is_active_op) \
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const uint is_active = (ccl_gpu_global_id_x() < num_states) ? \
is_active_op(ccl_gpu_global_id_x()) : \
0; \
gpu_parallel_active_index_array_impl(num_states, \
indices, \
num_indices, \
is_active, \
metal_local_size, \
metal_local_id, \
metal_global_id, \
simdgroup_size, \
simd_lane_index, \
simd_group_index, \
num_simd_groups, \
simdgroup_offset)
#else
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# define gpu_parallel_active_index_array( \
blocksize, num_states, indices, num_indices, is_active_op) \
gpu_parallel_active_index_array_impl<blocksize>(num_states, indices, num_indices, is_active_op)
Cycles: Adapt shared kernel/device/gpu layer for MSL This patch adapts the shared kernel entrypoints so that they can be compiled as MSL (Metal Shading Language). Where possible, the adaptations avoid changes in common code. In MSL, kernel function inputs are explicitly bound to resources. In the case of argument buffers, we declare a struct containing the kernel arguments, accessible via device pointer. This differs from CUDA and HIP where kernel function arguments are declared as traditional C-style function parameters. This patch adapts the entrypoints declared in kernel.h so that they can be translated via a new `ccl_gpu_kernel_signature` macro into the required parameter struct + kernel entrypoint pairing for MSL. MSL buffer attribution must be applied to function parameters or non-static class data members. To allow universal access to the integrator state, kernel data, and texture fetch adapters, we wrap all of the shared kernel code in a `MetalKernelContext` class. This is achieved by bracketing the appropriate kernel headers with "context_begin.h" and "context_end.h" on Metal. When calling deeper into the kernel code, we must reference the context class (e.g. `context.integrator_init_from_camera`). This extra prefixing is performed by a set of defines in "context_end.h". These will require explicit maintenance if entrypoints change. We invite discussion on more maintainable ways to enforce correctness. Lambda expressions are not supported on MSL, so a new `ccl_gpu_kernel_lambda` macro generates an inline function object and optionally capturing any required state. This yields the same behaviour. This approach is applied to all parallel_... implementations which are templated by operation. The lambda expressions in the film_convert... kernels don't adapt cleanly to use function objects. However, these entrypoints can be macro-generated more concisely to avoid lambda expressions entirely, instead relying on constant folding to handle the pixel/channel conversions. A separate implementation of `gpu_parallel_active_index_array` is provided for Metal to workaround some subtle differences in SIMD width, and also to encapsulate some required thread parameters which must be declared as explicit entrypoint function parameters. Ref T92212 Reviewed By: brecht Maniphest Tasks: T92212 Differential Revision: https://developer.blender.org/D13109
2021-11-09 21:30:46 +00:00
#endif
CCL_NAMESPACE_END