This patch adds a new Cycles device with similar functionality to the existing GPU devices. Kernel compilation and runtime interaction happen via oneAPI DPC++ compiler and SYCL API. This implementation is primarly focusing on Intel® Arc™ GPUs and other future Intel GPUs. The first supported drivers are 101.1660 on Windows and 22.10.22597 on Linux. The necessary tools for compilation are: - A SYCL compiler such as oneAPI DPC++ compiler or https://github.com/intel/llvm - Intel® oneAPI Level Zero which is used for low level device queries: https://github.com/oneapi-src/level-zero - To optionally generate prebuilt graphics binaries: Intel® Graphics Compiler All are included in Linux precompiled libraries on svn: https://svn.blender.org/svnroot/bf-blender/trunk/lib The same goes for Windows precompiled binaries but for the graphics compiler, available as "Intel® Graphics Offline Compiler for OpenCL™ Code" from https://www.intel.com/content/www/us/en/developer/articles/tool/oneapi-standalone-components.html, for which path can be set as OCLOC_INSTALL_DIR. Being based on the open SYCL standard, this implementation could also be extended to run on other compatible non-Intel hardware in the future. Reviewed By: sergey, brecht Differential Revision: https://developer.blender.org/D15254 Co-authored-by: Nikita Sirgienko <nikita.sirgienko@intel.com> Co-authored-by: Stefan Werner <stefan.werner@intel.com>
185 lines
4.9 KiB
C++
185 lines
4.9 KiB
C++
/* SPDX-License-Identifier: Apache-2.0
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* Copyright 2011-2022 Blender Foundation */
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#ifndef __UTIL_HALF_H__
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#define __UTIL_HALF_H__
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#include "util/math.h"
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#include "util/types.h"
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#if !defined(__KERNEL_GPU__) && defined(__KERNEL_SSE2__)
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# include "util/simd.h"
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#endif
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CCL_NAMESPACE_BEGIN
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/* Half Floats */
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#if defined(__KERNEL_METAL__)
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ccl_device_inline float half_to_float(half h_in)
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{
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float f;
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union {
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half h;
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uint16_t s;
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} val;
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val.h = h_in;
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*((ccl_private int *)&f) = ((val.s & 0x8000) << 16) | (((val.s & 0x7c00) + 0x1C000) << 13) |
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((val.s & 0x03FF) << 13);
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return f;
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}
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#else
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/* CUDA has its own half data type, no need to define then */
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# if !defined(__KERNEL_CUDA__) && !defined(__KERNEL_HIP__) && !defined(__KERNEL_ONEAPI__)
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/* Implementing this as a class rather than a typedef so that the compiler can tell it apart from
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* unsigned shorts. */
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class half {
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public:
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half() : v(0)
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{
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}
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half(const unsigned short &i) : v(i)
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{
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}
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operator unsigned short()
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{
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return v;
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}
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half &operator=(const unsigned short &i)
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{
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v = i;
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return *this;
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}
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private:
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unsigned short v;
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};
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# endif
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struct half4 {
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half x, y, z, w;
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};
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#endif
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/* Conversion to/from half float for image textures
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*
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* Simplified float to half for fast sampling on processor without a native
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* instruction, and eliminating any NaN and inf values. */
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ccl_device_inline half float_to_half_image(float f)
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{
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#if defined(__KERNEL_METAL__) || defined(__KERNEL_ONEAPI__)
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return half(min(f, 65504.0f));
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#elif defined(__KERNEL_CUDA__) || defined(__KERNEL_HIP__)
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return __float2half(min(f, 65504.0f));
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#else
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const uint u = __float_as_uint(f);
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/* Sign bit, shifted to its position. */
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uint sign_bit = u & 0x80000000;
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sign_bit >>= 16;
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/* Exponent. */
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uint exponent_bits = u & 0x7f800000;
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/* Non-sign bits. */
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uint value_bits = u & 0x7fffffff;
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value_bits >>= 13; /* Align mantissa on MSB. */
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value_bits -= 0x1c000; /* Adjust bias. */
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/* Flush-to-zero. */
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value_bits = (exponent_bits < 0x38800000) ? 0 : value_bits;
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/* Clamp-to-max. */
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value_bits = (exponent_bits > 0x47000000) ? 0x7bff : value_bits;
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/* Denormals-as-zero. */
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value_bits = (exponent_bits == 0 ? 0 : value_bits);
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/* Re-insert sign bit and return. */
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return (value_bits | sign_bit);
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#endif
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}
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ccl_device_inline float half_to_float_image(half h)
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{
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#if defined(__KERNEL_METAL__)
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return half_to_float(h);
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#elif defined(__KERNEL_ONEAPI__)
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return float(h);
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#elif defined(__KERNEL_CUDA__) || defined(__KERNEL_HIP__)
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return __half2float(h);
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#else
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const int x = ((h & 0x8000) << 16) | (((h & 0x7c00) + 0x1C000) << 13) | ((h & 0x03FF) << 13);
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return __int_as_float(x);
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#endif
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}
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ccl_device_inline float4 half4_to_float4_image(const half4 h)
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{
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/* Unable to use because it gives different results half_to_float_image, can we
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* modify float_to_half_image so the conversion results are identical? */
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#if 0 /* defined(__KERNEL_AVX2__) */
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/* CPU: AVX. */
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__m128i x = _mm_castpd_si128(_mm_load_sd((const double *)&h));
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return float4(_mm_cvtph_ps(x));
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#endif
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const float4 f = make_float4(half_to_float_image(h.x),
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half_to_float_image(h.y),
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half_to_float_image(h.z),
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half_to_float_image(h.w));
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return f;
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}
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/* Conversion to half float texture for display.
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*
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* Simplified float to half for fast display texture conversion on processors
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* without a native instruction. Assumes no negative, no NaN, no inf, and sets
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* denormal to 0. */
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ccl_device_inline half float_to_half_display(const float f)
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{
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#if defined(__KERNEL_METAL__) || defined(__KERNEL_ONEAPI__)
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return half(min(f, 65504.0f));
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#elif defined(__KERNEL_CUDA__) || defined(__KERNEL_HIP__)
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return __float2half(min(f, 65504.0f));
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#else
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const int x = __float_as_int((f > 0.0f) ? ((f < 65504.0f) ? f : 65504.0f) : 0.0f);
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const int absolute = x & 0x7FFFFFFF;
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const int Z = absolute + 0xC8000000;
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const int result = (absolute < 0x38800000) ? 0 : Z;
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const int rshift = (result >> 13);
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return (rshift & 0x7FFF);
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#endif
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}
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ccl_device_inline half4 float4_to_half4_display(const float4 f)
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{
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#ifdef __KERNEL_SSE2__
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/* CPU: SSE and AVX. */
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ssef x = min(max(load4f(f), 0.0f), 65504.0f);
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# ifdef __KERNEL_AVX2__
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ssei rpack = _mm_cvtps_ph(x, 0);
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# else
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ssei absolute = cast(x) & 0x7FFFFFFF;
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ssei Z = absolute + 0xC8000000;
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ssei result = andnot(absolute < 0x38800000, Z);
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ssei rshift = (result >> 13) & 0x7FFF;
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ssei rpack = _mm_packs_epi32(rshift, rshift);
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# endif
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half4 h;
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_mm_storel_pi((__m64 *)&h, _mm_castsi128_ps(rpack));
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return h;
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#else
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/* GPU and scalar fallback. */
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const half4 h = {float_to_half_display(f.x),
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float_to_half_display(f.y),
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float_to_half_display(f.z),
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float_to_half_display(f.w)};
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return h;
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#endif
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}
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CCL_NAMESPACE_END
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#endif /* __UTIL_HALF_H__ */
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