// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #pragma once #include #include #include #include #include #ifdef PADDLE_WITH_CUDA #include #endif // PADDLE_WITH_CUDA #ifdef PADDLE_WITH_HIP #include #endif #if defined(__CUDACC__) && CUDA_VERSION >= 7050 #define PADDLE_CUDA_FP16 #include #endif #ifdef __HIPCC__ #define PADDLE_CUDA_FP16 #include #endif #if !defined(_WIN32) #define PADDLE_ALIGN(x) __attribute__((aligned(x))) #else #define PADDLE_ALIGN(x) __declspec(align(x)) #endif #define CUDA_ARCH_FP16_SUPPORTED(CUDA_ARCH) (CUDA_ARCH >= 600) #if (defined(__CUDACC__) || defined(__HIPCC__)) #define HOSTDEVICE __host__ __device__ #define DEVICE __device__ #define HOST __host__ #else #define HOSTDEVICE #define DEVICE #define HOST #endif namespace phi { namespace dtype { // Use PADDLE_ALIGNED(2) to ensure that each float16 will be allocated // and aligned at least on a 2-byte boundary, which leads to efficient // memory access of float16 struct and also makes float16 compatible // with CUDA half, ARM float16_t data types. struct PADDLE_ALIGN(2) float16 { public: uint16_t x; // The following defaulted special class member functions // are added to make float16 pass the std::is_trivial test float16() = default; float16(const float16& o) = default; float16& operator=(const float16& o) = default; float16(float16&& o) = default; float16& operator=(float16&& o) = default; ~float16() = default; // Constructors #ifdef PADDLE_CUDA_FP16 HOSTDEVICE inline explicit float16(const half& h) { #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP) #if defined(PADDLE_WITH_HIP) || CUDA_VERSION >= 9000 x = reinterpret_cast<__half_raw*>(const_cast(&h))->x; #else x = h.x; #endif // CUDA_VERSION >= 9000 #endif } #endif // PADDLE_CUDA_FP16 #ifdef PADDLE_WITH_NATIVE_FP16 // __fp16 is a native half precision data type for arm cpu, // float16_t is an alias for __fp16 HOSTDEVICE inline explicit float16(const float16_t& h) { x = *reinterpret_cast(&h); } #endif HOSTDEVICE inline explicit float16(float val) { #if defined(PADDLE_CUDA_FP16) && \ (defined(__HIPCC__) || (defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300)) half tmp = __float2half(val); x = *reinterpret_cast(&tmp); #elif defined(PADDLE_WITH_NATIVE_FP16) float32x4_t tmp = vld1q_dup_f32(&val); float16_t res = vget_lane_f16(vcvt_f16_f32(tmp), 0); x = *reinterpret_cast(&res); #elif defined(__F16C__) x = _cvtss_sh(val, 0); #else // Conversion routine adapted from // http://stackoverflow.com/questions/1659440/32-bit-to-16-bit-floating-point-conversion Bits v, s; v.f = val; uint32_t sign = v.si & sigN; v.si ^= sign; sign >>= shiftSign; // logical shift s.si = mulN; s.si = s.f * v.f; // correct subnormals v.si ^= (s.si ^ v.si) & -(minN > v.si); v.si ^= (infN ^ v.si) & -((infN > v.si) & (v.si > maxN)); v.si ^= (nanN ^ v.si) & -((nanN > v.si) & (v.si > infN)); v.ui >>= shift; // logical shift v.si ^= ((v.si - maxD) ^ v.si) & -(v.si > maxC); v.si ^= ((v.si - minD) ^ v.si) & -(v.si > subC); x = v.ui | sign; #endif } HOSTDEVICE inline explicit float16(bool b) : x(b ? 0x3c00 : 0) {} template HOSTDEVICE inline explicit float16(const T& val) : x(float16(static_cast(val)).x) {} // Assignment operators #ifdef PADDLE_CUDA_FP16 HOSTDEVICE inline float16& operator=(const half& rhs) { #if defined(PADDLE_WITH_HIP) || CUDA_VERSION >= 9000 x = reinterpret_cast<__half_raw*>(const_cast(&rhs))->x; #else x = rhs.x; #endif return *this; } #endif #ifdef PADDLE_WITH_NATIVE_FP16 HOSTDEVICE inline float16& operator=(const float16_t& rhs) { x = *reinterpret_cast(&rhs); return *this; } #endif HOSTDEVICE inline float16& operator=(bool b) { x = b ? 0x3c00 : 0; return *this; } HOSTDEVICE inline float16& operator=(int8_t val) { x = float16(val).x; return *this; } HOSTDEVICE inline float16& operator=(uint8_t val) { x = float16(val).x; return *this; } HOSTDEVICE inline float16& operator=(int16_t val) { x = float16(val).x; return *this; } HOSTDEVICE inline float16& operator=(uint16_t val) { x = float16(val).x; return *this; } HOSTDEVICE inline float16& operator=(int32_t val) { x = float16(val).x; return *this; } HOSTDEVICE inline float16& operator=(uint32_t val) { x = float16(val).x; return *this; } HOSTDEVICE inline float16& operator=(int64_t val) { x = float16(val).x; return *this; } HOSTDEVICE inline float16& operator=(uint64_t val) { x = float16(val).x; return *this; } HOSTDEVICE inline float16& operator=(float val) { x = float16(val).x; return *this; } HOSTDEVICE inline float16& operator=(double val) { x = float16(val).x; return *this; } // Conversion opertors #ifdef PADDLE_CUDA_FP16 HOSTDEVICE inline half to_half() const { #if defined(PADDLE_WITH_HIP) || CUDA_VERSION >= 9000 __half_raw h; h.x = x; return half(h); #else half h; h.x = x; return h; #endif // CUDA_VERSION >= 9000 } #endif // PADDLE_CUDA_FP16 #ifdef PADDLE_WITH_NATIVE_FP16 HOSTDEVICE inline explicit operator float16_t() const { return *reinterpret_cast(this); } #endif HOSTDEVICE inline operator float() const { #if defined(PADDLE_CUDA_FP16) && \ (defined(__HIPCC__) || (defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 300)) half tmp = *reinterpret_cast(this); return __half2float(tmp); #elif defined(PADDLE_WITH_NATIVE_FP16) float16x4_t res = vld1_dup_f16(reinterpret_cast(this)); return vgetq_lane_f32(vcvt_f32_f16(res), 0); #elif defined(__F16C__) return _cvtsh_ss(this->x); #else // Conversion routine adapted from // http://stackoverflow.com/questions/1659440/32-bit-to-16-bit-floating-point-conversion Bits v; v.ui = this->x; int32_t sign = v.si & sigC; v.si ^= sign; sign <<= shiftSign; v.si ^= ((v.si + minD) ^ v.si) & -(v.si > subC); v.si ^= ((v.si + maxD) ^ v.si) & -(v.si > maxC); Bits s; s.si = mulC; s.f *= v.si; int32_t mask = -(norC > v.si); v.si <<= shift; v.si ^= (s.si ^ v.si) & mask; v.si |= sign; return v.f; #endif } HOSTDEVICE inline explicit operator bool() const { return (x & 0x7fff) != 0; } HOSTDEVICE inline explicit operator int8_t() const { return static_cast(static_cast(*this)); } HOSTDEVICE inline explicit operator uint8_t() const { return static_cast(static_cast(*this)); } HOSTDEVICE inline explicit operator int16_t() const { return static_cast(static_cast(*this)); } HOSTDEVICE inline explicit operator uint16_t() const { return static_cast(static_cast(*this)); } HOSTDEVICE inline explicit operator int32_t() const { return static_cast(static_cast(*this)); } HOSTDEVICE inline explicit operator uint32_t() const { return static_cast(static_cast(*this)); } HOSTDEVICE inline explicit operator int64_t() const { return static_cast(static_cast(*this)); } HOSTDEVICE inline explicit operator uint64_t() const { return static_cast(static_cast(*this)); } HOSTDEVICE inline operator double() const { return static_cast(static_cast(*this)); } private: union Bits { float f; int32_t si; uint32_t ui; }; static const int shift = 13; static const int shiftSign = 16; static const int32_t infN = 0x7F800000; static const int32_t maxN = 0x477FE000; // max flt16 as flt32 static const int32_t minN = 0x38800000; // min flt16 normal as flt32 static const int32_t sigN = 0x80000000; // sign bit static constexpr int32_t infC = infN >> shift; static constexpr int32_t nanN = (infC + 1) << shift; // minimum flt16 nan as float32 static constexpr int32_t maxC = maxN >> shift; static constexpr int32_t minC = minN >> shift; static constexpr int32_t sigC = sigN >> shiftSign; static const int32_t mulN = 0x52000000; // (1 << 23) / minN static const int32_t mulC = 0x33800000; // minN / (1 << (23 - shift)) static const int32_t subC = 0x003FF; // max flt32 subnormal downshifted static const int32_t norC = 0x00400; // min flt32 normal downshifted static constexpr int32_t maxD = infC - maxC - 1; static constexpr int32_t minD = minC - subC - 1; }; // Arithmetic operators on GPU // CUDA 9.0 provides built-in arithmetic operators for half while // CUDA 7.5 and 8.0 do not. The arithmetic operators defined here are // for users to write similar CUDA code in CUDA 7.5 and 8.0 as in // CUDA 9.0 regarding the half data type. // ROCM has built-in arithmetic operators as not defined // __HIP_NO_HALF_OPERATORS__ #if defined(PADDLE_CUDA_FP16) && !defined(__HIPCC__) && CUDA_VERSION < 9000 DEVICE inline half operator+(const half& a, const half& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hadd(a, b); #else float res = static_cast(float16(a)) + static_cast(float16(b)); return float16(res).to_half(); #endif } DEVICE inline half operator-(const half& a, const half& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hsub(a, b); #else float res = static_cast(float16(a)) - static_cast(float16(b)); return float16(res).to_half(); #endif } DEVICE inline half operator*(const half& a, const half& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hmul(a, b); #else float res = static_cast(float16(a)) * static_cast(float16(b)); return float16(res).to_half(); #endif } DEVICE inline half operator/(const half& a, const half& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 float num = __half2float(a); float denom = __half2float(b); return __float2half(num / denom); #else float res = static_cast(float16(a)) / static_cast(float16(b)); return float16(res).to_half(); #endif } DEVICE inline half operator-(const half& a) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hneg(a); #else float res = -static_cast(float16(a)); return float16(res).to_half(); #endif } #ifndef PADDLE_WITH_HIP // not defined __HIP_NO_HALF_OPERATORS__ DEVICE inline half& operator+=(half& a, const half& b) { // NOLINT a = a + b; return a; } DEVICE inline half& operator-=(half& a, const half& b) { // NOLINT a = a - b; return a; } DEVICE inline half& operator*=(half& a, const half& b) { // NOLINT a = a * b; return a; } DEVICE inline half& operator/=(half& a, const half& b) { // NOLINT a = a / b; return a; } #endif DEVICE inline bool operator==(const half& a, const half& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __heq(a, b); #else return static_cast(float16(a)) == static_cast(float16(b)); #endif } DEVICE inline bool operator!=(const half& a, const half& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hne(a, b); #else return static_cast(float16(a)) != static_cast(float16(b)); #endif } DEVICE inline bool operator<(const half& a, const half& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hlt(a, b); #else return static_cast(float16(a)) < static_cast(float16(b)); #endif } DEVICE inline bool operator<=(const half& a, const half& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hle(a, b); #else return static_cast(float16(a)) <= static_cast(float16(b)); #endif } DEVICE inline bool operator>(const half& a, const half& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hgt(a, b); #else return static_cast(float16(a)) > static_cast(float16(b)); #endif } DEVICE inline bool operator>=(const half& a, const half& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hge(a, b); #else return static_cast(float16(a)) >= static_cast(float16(b)); #endif } #endif // PADDLE_CUDA_FP16 // Arithmetic operators for float16 on GPU #if defined(PADDLE_CUDA_FP16) // HIPCC has compile error if call __device__ function __hadd, __hsub, etc. // in __host__ __device__ function #if defined(__HIPCC__) DEVICE inline float16 operator+(const float16& a, const float16& b) { return float16(__hadd(a.to_half(), b.to_half())); } HOST inline float16 operator+(const float16& a, const float16& b) { return float16(static_cast(a) + static_cast(b)); } #else HOSTDEVICE inline float16 operator+(const float16& a, const float16& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return float16(__hadd(a.to_half(), b.to_half())); #else return float16(static_cast(a) + static_cast(b)); #endif } #endif #if defined(__HIPCC__) DEVICE inline float16 operator-(const float16& a, const float16& b) { return float16(__hsub(a.to_half(), b.to_half())); } HOST inline float16 operator-(const float16& a, const float16& b) { return float16(static_cast(a) - static_cast(b)); } #else HOSTDEVICE inline float16 operator-(const float16& a, const float16& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return float16(__hsub(a.to_half(), b.to_half())); #else return float16(static_cast(a) - static_cast(b)); #endif } #endif #if defined(__HIPCC__) DEVICE inline float16 operator*(const float16& a, const float16& b) { return float16(__hmul(a.to_half(), b.to_half())); } HOST inline float16 operator*(const float16& a, const float16& b) { return float16(static_cast(a) * static_cast(b)); } #else HOSTDEVICE inline float16 operator*(const float16& a, const float16& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return float16(__hmul(a.to_half(), b.to_half())); #else return float16(static_cast(a) * static_cast(b)); #endif } #endif #if defined(__HIPCC__) DEVICE inline float16 operator/(const float16& a, const float16& b) { return float16(__hdiv(a.to_half(), b.to_half())); } HOST inline float16 operator/(const float16& a, const float16& b) { return float16(static_cast(a) / static_cast(b)); } #else HOSTDEVICE inline float16 operator/(const float16& a, const float16& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 // TODO(kexinzhao): check which cuda version starts to support __hdiv float num = __half2float(a.to_half()); float denom = __half2float(b.to_half()); return float16(num / denom); #else return float16(static_cast(a) / static_cast(b)); #endif } #endif #if defined(__HIPCC__) DEVICE inline float16 operator-(const float16& a) { return float16(__hneg(a.to_half())); } HOST inline float16 operator-(const float16& a) { float16 res; res.x = a.x ^ 0x8000; return res; } #else HOSTDEVICE inline float16 operator-(const float16& a) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return float16(__hneg(a.to_half())); #else float16 res; res.x = a.x ^ 0x8000; return res; #endif } #endif HOSTDEVICE inline float16& operator+=(float16& a, const float16& b) { // NOLINT a = a + b; return a; } HOSTDEVICE inline float16& operator-=(float16& a, const float16& b) { // NOLINT a = a - b; return a; } HOSTDEVICE inline float16& operator*=(float16& a, const float16& b) { // NOLINT a = a * b; return a; } HOSTDEVICE inline float16& operator/=(float16& a, const float16& b) { // NOLINT a = a / b; return a; } // HIPCC has compile error if call __device__ function __heq, __hne, etc. // in __host__ __device__ function #if defined(__HIPCC__) DEVICE inline bool operator==(const float16& a, const float16& b) { return __heq(a.to_half(), b.to_half()); } HOST inline bool operator==(const float16& a, const float16& b) { return static_cast(a) == static_cast(b); } #else // __HIPCC__ HOSTDEVICE inline bool operator==(const float16& a, const float16& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __heq(a.to_half(), b.to_half()); #else return static_cast(a) == static_cast(b); #endif } #endif // __HIPCC__ #if defined(__HIPCC__) DEVICE inline bool operator!=(const float16& a, const float16& b) { return __hne(a.to_half(), b.to_half()); } HOST inline bool operator!=(const float16& a, const float16& b) { return static_cast(a) != static_cast(b); } #else // __HIPCC__ HOSTDEVICE inline bool operator!=(const float16& a, const float16& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hne(a.to_half(), b.to_half()); #else return static_cast(a) != static_cast(b); #endif } #endif // __HIPCC__ #if defined(__HIPCC__) DEVICE inline bool operator<(const float16& a, const float16& b) { return __hlt(a.to_half(), b.to_half()); } HOST inline bool operator<(const float16& a, const float16& b) { return static_cast(a) < static_cast(b); } #else // __HIPCC__ HOSTDEVICE inline bool operator<(const float16& a, const float16& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hlt(a.to_half(), b.to_half()); #else return static_cast(a) < static_cast(b); #endif } #endif // __HIPCC__ #if defined(__HIPCC__) DEVICE inline bool operator<=(const float16& a, const float16& b) { return __hle(a.to_half(), b.to_half()); } HOST inline bool operator<=(const float16& a, const float16& b) { return static_cast(a) <= static_cast(b); } #else // __HIPCC__ HOSTDEVICE inline bool operator<=(const float16& a, const float16& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hle(a.to_half(), b.to_half()); #else return static_cast(a) <= static_cast(b); #endif } #endif // __HIPCC__ #if defined(__HIPCC__) DEVICE inline bool operator>(const float16& a, const float16& b) { return __hgt(a.to_half(), b.to_half()); } HOST inline bool operator>(const float16& a, const float16& b) { return static_cast(a) > static_cast(b); } #else // __HIPCC__ HOSTDEVICE inline bool operator>(const float16& a, const float16& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hgt(a.to_half(), b.to_half()); #else return static_cast(a) > static_cast(b); #endif } #endif // __HIPCC__ #if defined(__HIPCC__) DEVICE inline bool operator>=(const float16& a, const float16& b) { return __hge(a.to_half(), b.to_half()); } HOST inline bool operator>=(const float16& a, const float16& b) { return static_cast(a) >= static_cast(b); } #else // __HIPCC__ HOSTDEVICE inline bool operator>=(const float16& a, const float16& b) { #if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hge(a.to_half(), b.to_half()); #else return static_cast(a) >= static_cast(b); #endif } #endif // __HIPCC__ // Arithmetic operators for float16 on ARMv8.2-A CPU #elif defined(PADDLE_WITH_NATIVE_FP16) inline float16 operator+(const float16& a, const float16& b) { float16 res; asm volatile( "ld1 {v0.h}[0], [%[a_ptr]]\n" "ld1 {v1.h}[0], [%[b_ptr]]\n" "fadd h0, h0, h1\n" "st1 {v0.h}[0], [%[res_ptr]]\n" : // outputs : // inputs [a_ptr] "r"(&(a.x)), [b_ptr] "r"(&(b.x)), [res_ptr] "r"(&(res.x)) : // clobbers "memory", "v0", "v1"); return res; } inline float16 operator-(const float16& a, const float16& b) { float16 res; asm volatile( "ld1 {v0.h}[0], [%[a_ptr]]\n" "ld1 {v1.h}[0], [%[b_ptr]]\n" "fsub h0, h0, h1\n" "st1 {v0.h}[0], [%[res_ptr]]\n" : // outputs : // inputs [a_ptr] "r"(&(a.x)), [b_ptr] "r"(&(b.x)), [res_ptr] "r"(&(res.x)) : // clobbers "memory", "v0", "v1"); return res; } inline float16 operator*(const float16& a, const float16& b) { float16 res; asm volatile( "ld1 {v0.h}[0], [%[a_ptr]]\n" "ld1 {v1.h}[0], [%[b_ptr]]\n" "fmul h0, h0, h1\n" "st1 {v0.h}[0], [%[res_ptr]]\n" : // outputs : // inputs [a_ptr] "r"(&(a.x)), [b_ptr] "r"(&(b.x)), [res_ptr] "r"(&(res.x)) : // clobbers "memory", "v0", "v1"); return res; } inline float16 operator/(const float16& a, const float16& b) { float16 res; asm volatile( "ld1 {v0.h}[0], [%[a_ptr]]\n" "ld1 {v1.h}[0], [%[b_ptr]]\n" "fdiv h0, h0, h1\n" "st1 {v0.h}[0], [%[res_ptr]]\n" : // outputs : // inputs [a_ptr] "r"(&(a.x)), [b_ptr] "r"(&(b.x)), [res_ptr] "r"(&(res.x)) : // clobbers "memory", "v0", "v1"); return res; } inline float16 operator-(const float16& a) { float16 res; asm volatile( "ld1 {v0.h}[0], [%[a_ptr]]\n" "fneg h0, h0\n" "st1 {v0.h}[0], [%[res_ptr]]\n" : // outputs : // inputs [a_ptr] "r"(&(a.x)), [res_ptr] "r"(&(res.x)) : // clobbers "memory", "v0"); return res; } inline float16& operator+=(float16& a, const float16& b) { // NOLINT a = a + b; return a; } inline float16& operator-=(float16& a, const float16& b) { // NOLINT a = a - b; return a; } inline float16& operator*=(float16& a, const float16& b) { // NOLINT a = a * b; return a; } inline float16& operator/=(float16& a, const float16& b) { // NOLINT a = a / b; return a; } inline bool operator==(const float16& a, const float16& b) { uint16_t res; asm volatile( "ld1 {v0.h}[0], [%[a_ptr]]\n" "ld1 {v1.h}[0], [%[b_ptr]]\n" "fcmeq h0, h0, h1\n" "st1 {v0.h}[0], [%[res_ptr]]\n" : // outputs : // inputs [a_ptr] "r"(&(a.x)), [b_ptr] "r"(&(b.x)), [res_ptr] "r"(&res) : // clobbers "memory", "v0", "v1"); return (res & 0xffff) != 0; } inline bool operator!=(const float16& a, const float16& b) { return !(a == b); } inline bool operator<(const float16& a, const float16& b) { uint16_t res; asm volatile( "ld1 {v1.h}[0], [%[a_ptr]]\n" "ld1 {v0.h}[0], [%[b_ptr]]\n" "fcmgt h0, h0, h1\n" "st1 {v0.h}[0], [%[res_ptr]]\n" : // outputs : // inputs [a_ptr] "r"(&(a.x)), [b_ptr] "r"(&(b.x)), [res_ptr] "r"(&res) : // clobbers "memory", "v0", "v1"); return (res & 0xffff) != 0; } inline bool operator<=(const float16& a, const float16& b) { uint16_t res; asm volatile( "ld1 {v1.h}[0], [%[a_ptr]]\n" "ld1 {v0.h}[0], [%[b_ptr]]\n" "fcmge h0, h0, h1\n" "st1 {v0.h}[0], [%[res_ptr]]\n" : // outputs : // inputs [a_ptr] "r"(&(a.x)), [b_ptr] "r"(&(b.x)), [res_ptr] "r"(&res) : // clobbers "memory", "v0", "v1"); return (res & 0xffff) != 0; } inline bool operator>(const float16& a, const float16& b) { uint16_t res; asm volatile( "ld1 {v0.h}[0], [%[a_ptr]]\n" "ld1 {v1.h}[0], [%[b_ptr]]\n" "fcmgt h0, h0, h1\n" "st1 {v0.h}[0], [%[res_ptr]]\n" : // outputs : // inputs [a_ptr] "r"(&(a.x)), [b_ptr] "r"(&(b.x)), [res_ptr] "r"(&res) : // clobbers "memory", "v0", "v1"); return (res & 0xffff) != 0; } inline bool operator>=(const float16& a, const float16& b) { uint16_t res; asm volatile( "ld1 {v0.h}[0], [%[a_ptr]]\n" "ld1 {v1.h}[0], [%[b_ptr]]\n" "fcmge h0, h0, h1\n" "st1 {v0.h}[0], [%[res_ptr]]\n" : // outputs : // inputs [a_ptr] "r"(&(a.x)), [b_ptr] "r"(&(b.x)), [res_ptr] "r"(&res) : // clobbers "memory", "v0", "v1"); return (res & 0xffff) != 0; } // Arithmetic operators for float16, software emulated on other CPU #else inline float16 operator+(const float16& a, const float16& b) { return float16(static_cast(a) + static_cast(b)); } inline float16 operator-(const float16& a, const float16& b) { return float16(static_cast(a) - static_cast(b)); } inline float16 operator*(const float16& a, const float16& b) { return float16(static_cast(a) * static_cast(b)); } inline float16 operator/(const float16& a, const float16& b) { return float16(static_cast(a) / static_cast(b)); } inline float16 operator-(const float16& a) { float16 res; res.x = a.x ^ 0x8000; return res; } inline float16& operator+=(float16& a, const float16& b) { // NOLINT a = float16(static_cast(a) + static_cast(b)); return a; } inline float16& operator-=(float16& a, const float16& b) { // NOLINT a = float16(static_cast(a) - static_cast(b)); return a; } inline float16& operator*=(float16& a, const float16& b) { // NOLINT a = float16(static_cast(a) * static_cast(b)); return a; } inline float16& operator/=(float16& a, const float16& b) { // NOLINT a = float16(static_cast(a) / static_cast(b)); return a; } inline bool operator==(const float16& a, const float16& b) { return static_cast(a) == static_cast(b); } inline bool operator!=(const float16& a, const float16& b) { return static_cast(a) != static_cast(b); } inline bool operator<(const float16& a, const float16& b) { return static_cast(a) < static_cast(b); } inline bool operator<=(const float16& a, const float16& b) { return static_cast(a) <= static_cast(b); } inline bool operator>(const float16& a, const float16& b) { return static_cast(a) > static_cast(b); } inline bool operator>=(const float16& a, const float16& b) { return static_cast(a) >= static_cast(b); } #endif HOSTDEVICE inline float16 raw_uint16_to_float16(uint16_t a) { float16 res; res.x = a; return res; } // HIPCC has compile error if call __device__ function __hisnan in __host__ // __device__ function #if defined(PADDLE_CUDA_FP16) && defined(__HIPCC__) DEVICE inline bool(isnan)(const float16& a) { return __hisnan(a.to_half()); } HOST inline bool(isnan)(const float16& a) { return (a.x & 0x7fff) > 0x7c00; } #else HOSTDEVICE inline bool(isnan)(const float16& a) { #if defined(PADDLE_CUDA_FP16) && defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530 return __hisnan(a.to_half()); #else return (a.x & 0x7fff) > 0x7c00; #endif } #endif HOSTDEVICE inline bool(isinf)(const float16& a) { return (a.x & 0x7fff) == 0x7c00; } HOSTDEVICE inline bool(isfinite)(const float16& a) { return !((isnan)(a)) && !((isinf)(a)); } HOSTDEVICE inline float16(abs)(const float16& a) { #if defined(PADDLE_CUDA_FP16) && \ (defined(__HIPCC__) || (defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 530)) return float16(::fabs(static_cast(a))); #else return float16(std::abs(static_cast(a))); #endif } inline std::ostream& operator<<(std::ostream& os, const float16& a) { os << static_cast(a); return os; } } // namespace dtype } // namespace phi namespace std { // Override the std::is_pod::value for float16 // The reason is that different compilers implemented std::is_pod based on // different C++ standards. float16 class is a plain old data in C++11 given // that it is both trivial and standard_layout. // However, std::is_pod in nvcc 8.0 host c++ compiler follows C++0x and is // more restricted in that you cannot provide any customized // constructor in float16. Hence, we override is_pod here following C++11 // so that .cu files can be successfully compiled by nvcc. template <> struct is_pod { static const bool value = is_trivial::value && is_standard_layout::value; }; template <> struct is_floating_point : std::integral_constant< bool, std::is_same< phi::dtype::float16, typename std::remove_cv::type>::value> {}; template <> struct is_signed { static const bool value = true; }; template <> struct is_unsigned { static const bool value = false; }; inline bool isnan(const phi::dtype::float16& a) { return phi::dtype::isnan(a); } inline bool isinf(const phi::dtype::float16& a) { return phi::dtype::isinf(a); } inline bool isfinite(const phi::dtype::float16& a) { return phi::dtype::isfinite(a); } template <> struct numeric_limits { static const bool is_specialized = true; static const bool is_signed = true; static const bool is_integer = false; static const bool is_exact = false; static const bool has_infinity = true; static const bool has_quiet_NaN = true; static const bool has_signaling_NaN = true; static const float_denorm_style has_denorm = denorm_present; static const bool has_denorm_loss = false; static const std::float_round_style round_style = std::round_to_nearest; static const bool is_iec559 = false; static const bool is_bounded = false; static const bool is_modulo = false; static const int digits = 11; static const int digits10 = 3; static const int max_digits10 = 5; static const int radix = 2; static const int min_exponent = -13; static const int min_exponent10 = -4; static const int max_exponent = 16; static const int max_exponent10 = 4; static const bool traps = true; static const bool tinyness_before = false; HOSTDEVICE static phi::dtype::float16(min)() { return phi::dtype::raw_uint16_to_float16(0x400); } HOSTDEVICE static phi::dtype::float16 lowest() { return phi::dtype::raw_uint16_to_float16(0xfbff); } HOSTDEVICE static phi::dtype::float16(max)() { return phi::dtype::raw_uint16_to_float16(0x7bff); } HOSTDEVICE static phi::dtype::float16 epsilon() { return phi::dtype::raw_uint16_to_float16(0x0800); } HOSTDEVICE static phi::dtype::float16 round_error() { return phi::dtype::float16(0.5); } HOSTDEVICE static phi::dtype::float16 infinity() { return phi::dtype::raw_uint16_to_float16(0x7c00); } HOSTDEVICE static phi::dtype::float16 quiet_NaN() { return phi::dtype::raw_uint16_to_float16(0x7e00); } HOSTDEVICE static phi::dtype::float16 signaling_NaN() { return phi::dtype::raw_uint16_to_float16(0x7e00); } HOSTDEVICE static phi::dtype::float16 denorm_min() { return phi::dtype::raw_uint16_to_float16(0x1); } }; HOSTDEVICE inline phi::dtype::float16 abs(const phi::dtype::float16& a) { return phi::dtype::abs(a); } } // namespace std