Adding cpu inference with VXE ISA for s390x architecture (#12613)
Signed-off-by: Dilip Gowda Bhagavan <dilip.bhagavan@ibm.com> Signed-off-by: Rishika Kedia <rishika.kedia@in.ibm.com> Co-authored-by: Rishika Kedia <rishika.kedia@in.ibm.com>
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@ -24,8 +24,8 @@ struct KernelVecType<float> {
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template <>
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struct KernelVecType<c10::Half> {
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#ifdef __powerpc64__
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// Power architecture-specific vector types
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#if defined(__powerpc64__) || defined(__s390x__)
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// Power and s390x architecture-specific vector types
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using q_load_vec_type = vec_op::FP32Vec8;
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using k_load_vec_type = vec_op::FP32Vec16;
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using v_load_vec_type = vec_op::FP32Vec16;
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@ -7,6 +7,9 @@
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#elif defined(__POWER9_VECTOR__)
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// ppc implementation
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#include "cpu_types_vsx.hpp"
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#elif defined(__s390x__)
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// s390 implementation
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#include "cpu_types_vxe.hpp"
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#elif defined(__aarch64__)
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// arm implementation
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#include "cpu_types_arm.hpp"
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480
csrc/cpu/cpu_types_vxe.hpp
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480
csrc/cpu/cpu_types_vxe.hpp
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@ -0,0 +1,480 @@
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#ifndef CPU_TYPES_VXE_HPP
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#define CPU_TYPES_VXE_HPP
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#include <vecintrin.h>
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#include <cmath>
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#include <torch/all.h>
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namespace vec_op {
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#define vec_neg(a) (-(a))
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#define vec_add(a, b) ((a) + (b))
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#define vec_sub(a, b) ((a) - (b))
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#define vec_mul(a, b) ((a) * (b))
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#define vec_div(a, b) ((a) / (b))
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#define vec_sr(a, b) ((a) >> (b)) // Vector Shift Right Algebaic
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#define vec_sl(a, b) ((a) << (b)) // Vector Shift Left
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// FIXME: FP16 is not fully supported in Torch-CPU
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#define VLLM_DISPATCH_CASE_FLOATING_TYPES(...) \
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AT_DISPATCH_CASE(at::ScalarType::Float, __VA_ARGS__) \
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AT_DISPATCH_CASE(at::ScalarType::BFloat16, __VA_ARGS__)
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#define VLLM_DISPATCH_FLOATING_TYPES(TYPE, NAME, ...) \
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AT_DISPATCH_SWITCH(TYPE, NAME, VLLM_DISPATCH_CASE_FLOATING_TYPES(__VA_ARGS__))
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#ifndef CPU_OP_GUARD
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#define CPU_KERNEL_GUARD_IN(NAME)
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#define CPU_KERNEL_GUARD_OUT(NAME)
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#else
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#define CPU_KERNEL_GUARD_IN(NAME) \
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std::cout << #NAME << " invoked." << std::endl;
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#define CPU_KERNEL_GUARD_OUT(NAME) \
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std::cout << #NAME << " exit." << std::endl;
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#endif
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#define FORCE_INLINE __attribute__((always_inline)) inline
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namespace {
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template <typename T, T... indexes, typename F>
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constexpr void unroll_loop_item(std::integer_sequence<T, indexes...>, F&& f) {
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(f(std::integral_constant<T, indexes>{}), ...);
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}
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}; // namespace
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template <typename T, T count, typename F,
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typename = std::enable_if_t<std::is_invocable_v<F, T>>>
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constexpr void unroll_loop(F&& f) {
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unroll_loop_item(std::make_integer_sequence<T, count>{}, std::forward<F>(f));
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}
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template <typename T>
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struct Vec {
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constexpr static int get_elem_num() { return T::VEC_ELEM_NUM; }
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};
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typedef struct ss16x8x2_t {
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__vector signed short val[2];
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} ss16x8x2_t;
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typedef struct ss16x8x4_t {
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__vector signed short val[4];
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} ss16x8x4_t;
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typedef struct f32x4x2_t {
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__vector float val[2];
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} f32x4x2_t;
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typedef struct f32x4x4_t {
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__vector float val[4];
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} f32x4x4_t;
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struct FP32Vec8;
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struct FP32Vec16;
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struct BF16Vec8 : public Vec<BF16Vec8> {
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constexpr static int VEC_ELEM_NUM = 8;
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__vector signed short reg;
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explicit BF16Vec8(const void* ptr) : reg(*(__vector signed short*)ptr) {}
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explicit BF16Vec8(const FP32Vec8&);
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void save(void* ptr) const {
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*reinterpret_cast<__vector signed short*>(ptr) = reg;
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}
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};
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struct BF16Vec16 : public Vec<BF16Vec16> {
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constexpr static int VEC_ELEM_NUM = 16;
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ss16x8x2_t reg;
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explicit BF16Vec16(const void* ptr) {
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// Load 256 bits in two parts
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reg.val[0] = (__vector signed short)vec_xl(0, (signed short*)ptr);
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reg.val[1] = (__vector signed short)vec_xl(16, (signed short*)ptr);
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}
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explicit BF16Vec16(const FP32Vec16&);
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void save(void* ptr) const {
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// Save 256 bits in two parts
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vec_xst(reg.val[0], 0, (signed short*)ptr);
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vec_xst(reg.val[1], 16, (signed short*)ptr);
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}
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};
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const static __vector signed short zero = vec_splats((signed short)0);
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struct BF16Vec32 : public Vec<BF16Vec32> {
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constexpr static int VEC_ELEM_NUM = 32;
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ss16x8x4_t reg;
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explicit BF16Vec32(const void* ptr)
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: reg(*reinterpret_cast<const ss16x8x4_t*>(ptr)) {}
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explicit BF16Vec32(ss16x8x4_t data) : reg(data) {}
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explicit BF16Vec32(const BF16Vec8& vec8_data)
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: reg({vec8_data.reg, vec8_data.reg, vec8_data.reg, vec8_data.reg}) {}
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void save(void* ptr) const { *reinterpret_cast<ss16x8x4_t*>(ptr) = reg; }
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};
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struct FP32Vec4 : public Vec<FP32Vec4> {
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constexpr static int VEC_ELEM_NUM = 4;
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union AliasReg {
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__vector float reg;
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float values[VEC_ELEM_NUM];
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};
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__vector float reg;
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explicit FP32Vec4(float v) : reg(vec_splats(v)) {}
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explicit FP32Vec4() : reg(vec_splats(0.0f)) {}
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explicit FP32Vec4(const float* ptr) : reg(vec_xl(0, ptr)) {}
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explicit FP32Vec4(__vector float data) : reg(data) {}
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explicit FP32Vec4(const FP32Vec4& data) : reg(data.reg) {}
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};
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struct FP32Vec8 : public Vec<FP32Vec8> {
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constexpr static int VEC_ELEM_NUM = 8;
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union AliasReg {
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f32x4x2_t reg;
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float values[VEC_ELEM_NUM];
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};
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f32x4x2_t reg;
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explicit FP32Vec8(float v) {
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reg.val[0] = vec_splats(v);
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reg.val[1] = vec_splats(v);
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}
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explicit FP32Vec8() {
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reg.val[0] = vec_splats(0.0f);
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reg.val[1] = vec_splats(0.0f);
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}
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explicit FP32Vec8(const float* ptr) {
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reg.val[0] = vec_xl(0, ptr);
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reg.val[1] = vec_xl(16, ptr);
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}
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explicit FP32Vec8(f32x4x2_t data) : reg(data) {}
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explicit FP32Vec8(const FP32Vec8& data) {
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reg.val[0] = data.reg.val[0];
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reg.val[1] = data.reg.val[1];
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}
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explicit FP32Vec8(const BF16Vec8& v) {
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reg.val[0] = (__vector float)vec_mergeh(zero, v.reg);
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reg.val[1] = (__vector float)vec_mergel(zero, v.reg);
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}
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float reduce_sum() const {
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AliasReg ar;
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ar.reg = reg;
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float result = 0;
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unroll_loop<int, VEC_ELEM_NUM>(
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[&result, &ar](int i) { result += ar.values[i]; });
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return result;
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}
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FP32Vec8 exp() const {
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// TODO: Vectorize this
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AliasReg ar;
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ar.reg = reg;
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f32x4x4_t ret;
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ret.val[0][0] = std::exp(ar.values[0]);
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ret.val[0][1] = std::exp(ar.values[1]);
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ret.val[0][2] = std::exp(ar.values[2]);
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ret.val[0][3] = std::exp(ar.values[3]);
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ret.val[1][0] = std::exp(ar.values[4]);
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ret.val[1][1] = std::exp(ar.values[5]);
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ret.val[1][2] = std::exp(ar.values[6]);
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ret.val[1][3] = std::exp(ar.values[7]);
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return FP32Vec8(f32x4x2_t({ret.val[0], ret.val[1]}));
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}
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FP32Vec8 tanh() const {
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// TODO: Vectorize this
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AliasReg ar;
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ar.reg = reg;
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f32x4x4_t ret;
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ret.val[0][0] = std::tanh(ar.values[0]);
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ret.val[0][1] = std::tanh(ar.values[1]);
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ret.val[0][2] = std::tanh(ar.values[2]);
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ret.val[0][3] = std::tanh(ar.values[3]);
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ret.val[1][0] = std::tanh(ar.values[4]);
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ret.val[1][1] = std::tanh(ar.values[5]);
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ret.val[1][2] = std::tanh(ar.values[6]);
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ret.val[1][3] = std::tanh(ar.values[7]);
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return FP32Vec8(f32x4x2_t({ret.val[0], ret.val[1]}));
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}
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FP32Vec8 er() const {
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// TODO: Vectorize this
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AliasReg ar;
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ar.reg = reg;
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f32x4x4_t ret;
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ret.val[0][0] = std::erf(ar.values[0]);
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ret.val[0][1] = std::erf(ar.values[1]);
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ret.val[0][2] = std::erf(ar.values[2]);
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ret.val[0][3] = std::erf(ar.values[3]);
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ret.val[1][0] = std::erf(ar.values[4]);
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ret.val[1][1] = std::erf(ar.values[5]);
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ret.val[1][2] = std::erf(ar.values[6]);
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ret.val[1][3] = std::erf(ar.values[7]);
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return FP32Vec8(f32x4x2_t({ret.val[0], ret.val[1]}));
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}
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FP32Vec8 operator*(const FP32Vec8& b) const {
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return FP32Vec8(
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{vec_mul(reg.val[0], b.reg.val[0]), vec_mul(reg.val[1], b.reg.val[1])});
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}
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FP32Vec8 operator+(const FP32Vec8& b) const {
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return FP32Vec8(
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{vec_add(reg.val[0], b.reg.val[0]), vec_add(reg.val[1], b.reg.val[1])});
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}
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FP32Vec8 operator-(const FP32Vec8& b) const {
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return FP32Vec8(
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{vec_sub(reg.val[0], b.reg.val[0]), vec_sub(reg.val[1], b.reg.val[1])});
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}
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FP32Vec8 operator/(const FP32Vec8& b) const {
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return FP32Vec8(
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{vec_div(reg.val[0], b.reg.val[0]), vec_div(reg.val[1], b.reg.val[1])});
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}
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void save(float* ptr) const {
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vec_xst(reg.val[0], 0, ptr);
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vec_xst(reg.val[1], 16, ptr);
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}
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};
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struct FP32Vec16 : public Vec<FP32Vec16> {
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constexpr static int VEC_ELEM_NUM = 16;
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union AliasReg {
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f32x4x4_t reg;
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float values[VEC_ELEM_NUM];
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};
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f32x4x4_t reg;
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explicit FP32Vec16(float v) {
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reg.val[0] = vec_splats(v);
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reg.val[1] = vec_splats(v);
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reg.val[2] = vec_splats(v);
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reg.val[3] = vec_splats(v);
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}
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explicit FP32Vec16() {
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reg.val[0] = vec_splats(0.0f);
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reg.val[1] = vec_splats(0.0f);
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reg.val[2] = vec_splats(0.0f);
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reg.val[3] = vec_splats(0.0f);
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}
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explicit FP32Vec16(const float* ptr) {
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reg.val[0] = vec_xl(0, ptr);
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reg.val[1] = vec_xl(16, ptr);
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reg.val[2] = vec_xl(32, ptr);
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reg.val[3] = vec_xl(48, ptr);
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}
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explicit FP32Vec16(f32x4x4_t data) : reg(data) {}
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explicit FP32Vec16(const FP32Vec16& data) {
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reg.val[0] = data.reg.val[0];
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reg.val[1] = data.reg.val[1];
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reg.val[2] = data.reg.val[2];
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reg.val[3] = data.reg.val[3];
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}
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explicit FP32Vec16(const FP32Vec4& data) {
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reg.val[0] = data.reg;
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reg.val[1] = data.reg;
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reg.val[2] = data.reg;
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reg.val[3] = data.reg;
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}
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explicit FP32Vec16(const FP32Vec8& data) {
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reg.val[0] = data.reg.val[0];
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reg.val[1] = data.reg.val[1];
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reg.val[2] = data.reg.val[0];
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reg.val[3] = data.reg.val[1];
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}
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explicit FP32Vec16(const BF16Vec16& v) {
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reg.val[0] = (__vector float)vec_mergeh(zero, v.reg.val[0]);
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reg.val[1] = (__vector float)vec_mergel(zero, v.reg.val[0]);
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reg.val[2] = (__vector float)vec_mergeh(zero, v.reg.val[1]);
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reg.val[3] = (__vector float)vec_mergel(zero, v.reg.val[1]);
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}
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explicit FP32Vec16(const BF16Vec8& v) : FP32Vec16(FP32Vec8(v)) {}
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FP32Vec16 operator*(const FP32Vec16& b) const {
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return FP32Vec16(f32x4x4_t({vec_mul(reg.val[0], b.reg.val[0]),
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vec_mul(reg.val[1], b.reg.val[1]),
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vec_mul(reg.val[2], b.reg.val[2]),
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vec_mul(reg.val[3], b.reg.val[3])}));
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}
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FP32Vec16 operator+(const FP32Vec16& b) const {
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return FP32Vec16(f32x4x4_t({vec_add(reg.val[0], b.reg.val[0]),
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vec_add(reg.val[1], b.reg.val[1]),
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vec_add(reg.val[2], b.reg.val[2]),
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vec_add(reg.val[3], b.reg.val[3])}));
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}
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FP32Vec16 operator-(const FP32Vec16& b) const {
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return FP32Vec16(f32x4x4_t({vec_sub(reg.val[0], b.reg.val[0]),
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vec_sub(reg.val[1], b.reg.val[1]),
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vec_sub(reg.val[2], b.reg.val[2]),
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vec_sub(reg.val[3], b.reg.val[3])}));
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}
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FP32Vec16 operator/(const FP32Vec16& b) const {
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return FP32Vec16(f32x4x4_t({vec_div(reg.val[0], b.reg.val[0]),
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vec_div(reg.val[1], b.reg.val[1]),
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vec_div(reg.val[2], b.reg.val[2]),
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vec_div(reg.val[3], b.reg.val[3])}));
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}
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float reduce_sum() const {
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AliasReg ar;
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ar.reg = reg;
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float result = 0;
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unroll_loop<int, VEC_ELEM_NUM>(
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[&result, &ar](int i) { result += ar.values[i]; });
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return result;
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}
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template <int group_size>
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float reduce_sub_sum(int idx) {
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static_assert(VEC_ELEM_NUM % group_size == 0);
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AliasReg ar;
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ar.reg = reg;
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float result = 0;
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const int start = idx * group_size;
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unroll_loop<int, group_size>(
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[&result, &start, ar](int i) { result += ar.values[start + i]; });
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return result;
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}
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void save(float* ptr) const {
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vec_xst(reg.val[0], 0, ptr);
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vec_xst(reg.val[1], 16, ptr);
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vec_xst(reg.val[2], 32, ptr);
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vec_xst(reg.val[3], 48, ptr);
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}
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};
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template <typename T>
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struct VecType {
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using vec_type = void;
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};
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template <typename T>
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using vec_t = typename VecType<T>::vec_type;
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template <>
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struct VecType<float> {
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using vec_type = FP32Vec8;
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};
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template <>
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struct VecType<c10::BFloat16> {
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using vec_type = BF16Vec8;
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};
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||||
|
||||
template <typename T>
|
||||
void storeFP32(float v, T* ptr) {
|
||||
*ptr = v;
|
||||
}
|
||||
|
||||
inline void fma(FP32Vec16& acc, FP32Vec16& a, FP32Vec16& b) {
|
||||
acc = acc + a * b;
|
||||
}
|
||||
|
||||
namespace c10 {
|
||||
struct BFloat16 {
|
||||
uint16_t value; // Assume BFloat16 is defined as a struct containing a 16-bit
|
||||
// value.
|
||||
};
|
||||
} // namespace c10
|
||||
|
||||
template <>
|
||||
inline void storeFP32<c10::BFloat16>(float v, c10::BFloat16* ptr) {
|
||||
c10::BFloat16 __attribute__((__may_alias__))* v_ptr =
|
||||
reinterpret_cast<c10::BFloat16*>(&v);
|
||||
*ptr = *(v_ptr + 1);
|
||||
}
|
||||
|
||||
#ifndef __VEC_CLASS_FP_NAN
|
||||
#define __VEC_CLASS_FP_NAN (1 << 6)
|
||||
#endif
|
||||
|
||||
const static __vector unsigned char omask = {2, 3, 6, 7, 10, 11, 14, 15,
|
||||
18, 19, 22, 23, 26, 27, 30, 31};
|
||||
const static __vector unsigned int bias = {0x00007fff, 0x00007fff, 0x00007fff,
|
||||
0x00007fff};
|
||||
const static __vector unsigned int nan = {0x7fc00000, 0x7fc00000, 0x7fc00000,
|
||||
0x7fc00000};
|
||||
const static __vector unsigned int sh16 = {16, 16, 16, 16};
|
||||
const static __vector unsigned int one = {1, 1, 1, 1};
|
||||
|
||||
inline BF16Vec8::BF16Vec8(const FP32Vec8& v) {
|
||||
__vector unsigned int inp0 = (__vector unsigned int)(v.reg.val[0]);
|
||||
__vector unsigned int inp1 = (__vector unsigned int)(v.reg.val[1]);
|
||||
int cc;
|
||||
__vector __bool int sel0 =
|
||||
vec_fp_test_data_class(v.reg.val[0], __VEC_CLASS_FP_NAN, &cc);
|
||||
__vector __bool int sel1 =
|
||||
vec_fp_test_data_class(v.reg.val[1], __VEC_CLASS_FP_NAN, &cc);
|
||||
inp0 = vec_sel(inp0, nan, sel0) >> sh16;
|
||||
inp1 = vec_sel(inp1, nan, sel1) >> sh16;
|
||||
reg = (__vector signed short)vec_perm(inp0, inp1, omask);
|
||||
}
|
||||
|
||||
inline BF16Vec16::BF16Vec16(const FP32Vec16& v) {
|
||||
__vector unsigned int inp0 = (__vector unsigned int)(v.reg.val[0]);
|
||||
__vector unsigned int inp1 = (__vector unsigned int)(v.reg.val[1]);
|
||||
__vector unsigned int inp2 = (__vector unsigned int)(v.reg.val[2]);
|
||||
__vector unsigned int inp3 = (__vector unsigned int)(v.reg.val[3]);
|
||||
int cc;
|
||||
__vector __bool int sel0 =
|
||||
vec_fp_test_data_class(v.reg.val[0], __VEC_CLASS_FP_NAN, &cc);
|
||||
__vector __bool int sel1 =
|
||||
vec_fp_test_data_class(v.reg.val[1], __VEC_CLASS_FP_NAN, &cc);
|
||||
__vector __bool int sel2 =
|
||||
vec_fp_test_data_class(v.reg.val[2], __VEC_CLASS_FP_NAN, &cc);
|
||||
__vector __bool int sel3 =
|
||||
vec_fp_test_data_class(v.reg.val[3], __VEC_CLASS_FP_NAN, &cc);
|
||||
inp0 = vec_sel(inp0, nan, sel0) >> sh16;
|
||||
inp1 = vec_sel(inp1, nan, sel1) >> sh16;
|
||||
inp2 = vec_sel(inp2, nan, sel2) >> sh16;
|
||||
inp3 = vec_sel(inp3, nan, sel3) >> sh16;
|
||||
reg.val[0] = (__vector signed short)vec_perm(inp0, inp1, omask);
|
||||
reg.val[1] = (__vector signed short)vec_perm(inp2, inp3, omask);
|
||||
}
|
||||
|
||||
inline void prefetch(const void* addr) { void __dcbt(const void* addr); }
|
||||
|
||||
}; // namespace vec_op
|
||||
|
||||
#endif
|
||||
@ -25,7 +25,7 @@ struct KernelVecType<c10::BFloat16> {
|
||||
|
||||
template <>
|
||||
struct KernelVecType<c10::Half> {
|
||||
#ifdef __powerpc64__
|
||||
#if defined(__powerpc64__) || defined(__s390x__)
|
||||
// Power architecture-specific vector type
|
||||
using load_vec_type = vec_op::FP32Vec16;
|
||||
#else
|
||||
|
||||
Reference in New Issue
Block a user