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74 lines
2.0 KiB
74 lines
2.0 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#ifndef HL_CPU_SIMD_NEON_CUH_
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#define HL_CPU_SIMD_NEON_CUH_
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#include <arm_neon.h>
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#define VECTOR_SIMD true
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#define VECTOR_SIZE 16
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#define VECTOR_SET hl_vec_set
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#ifndef PADDLE_TYPE_DOUBLE
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typedef float32x4_t vecType;
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/* number of float in vector */
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#define VECTOR_LEN 4
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template <class Agg>
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inline real hl_agg_op(Agg agg, vecType mm) {
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float32x4_t rev = vrev64q_f32(mm);
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float32x4_t tmp1 = agg.vecOp(rev, rev);
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float32x2_t lo = vget_high_f32(rev);
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float32x2_t hi = vget_low_f32(rev);
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float32x4_t tmp2 = vcombine_f32(hi, lo);
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float32x4_t ret = agg.vecOp(tmp1, tmp2);
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return vgetq_lane_f32(ret, 0);
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}
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inline float32x4_t hl_vec_set(const real f) {
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return vdupq_n_f32(f);
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}
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inline float32x4_t hl_vec_classification_error(const float32x4_t a,
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const float32x4_t b,
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const float32x4_t p,
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const float32x4_t r) {
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uint32x4_t tmp1 = vcgtq_f32(a, p);
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uint32x4_t tmp2 = vcgtq_f32(b, p);
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uint32x4_t tmp3 = veorq_u32(tmp1, tmp2);
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return vcvtq_f32_u32(vandq_u32(tmp3, vcvtq_u32_f32(r)));
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}
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#else
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#ifdef __aarch64__
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typedef float64x2_t vecType;
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/* number of float in vector */
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#define VECTOR_LEN 2
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#define VECTOR_SET vdupq_n_f64
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#error To be implemented
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#else
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#error NEON instructions does not support double precision
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#endif // __aarch64__
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#endif
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#endif // HL_CPU_SIMD_NEON_CUH_
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