mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-25 18:30:16 +08:00
1374 lines
31 KiB
C++
1374 lines
31 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2017 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#include "mat.h"
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#if __ARM_NEON
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#include <arm_neon.h>
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#endif // __ARM_NEON
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#include "cpu.h"
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#include "layer.h"
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#include "layer_type.h"
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#include <math.h>
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#if NCNN_VULKAN
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#if NCNN_PLATFORM_API
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#if __ANDROID_API__ >= 26
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#include <android/hardware_buffer.h>
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#endif // __ANDROID_API__ >= 26
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#endif // NCNN_PLATFORM_API
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#endif // NCNN_VULKAN
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namespace ncnn {
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Mat Mat::clone(Allocator* _allocator) const
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{
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if (empty())
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return Mat();
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Mat m;
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if (dims == 1)
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m.create(w, elemsize, elempack, _allocator);
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else if (dims == 2)
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m.create(w, h, elemsize, elempack, _allocator);
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else if (dims == 3)
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m.create(w, h, c, elemsize, elempack, _allocator);
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if (total() > 0)
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{
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memcpy(m.data, data, total() * elemsize);
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}
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return m;
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}
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void Mat::clone_from(const ncnn::Mat& mat, Allocator* allocator)
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{
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*this = mat.clone(allocator);
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}
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Mat Mat::reshape(int _w, Allocator* _allocator) const
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{
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if (w * h * c != _w)
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return Mat();
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if (dims == 3 && cstep != (size_t)w * h)
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{
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Mat m;
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m.create(_w, elemsize, elempack, _allocator);
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// flatten
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for (int i = 0; i < c; i++)
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{
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const void* ptr = (unsigned char*)data + i * cstep * elemsize;
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void* mptr = (unsigned char*)m.data + (size_t)i * w * h * elemsize;
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memcpy(mptr, ptr, (size_t)w * h * elemsize);
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}
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return m;
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}
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Mat m = *this;
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m.dims = 1;
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m.w = _w;
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m.h = 1;
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m.c = 1;
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m.cstep = _w;
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return m;
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}
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Mat Mat::reshape(int _w, int _h, Allocator* _allocator) const
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{
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if (w * h * c != _w * _h)
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return Mat();
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if (dims == 3 && cstep != (size_t)w * h)
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{
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Mat m;
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m.create(_w, _h, elemsize, elempack, _allocator);
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// flatten
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for (int i = 0; i < c; i++)
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{
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const void* ptr = (unsigned char*)data + i * cstep * elemsize;
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void* mptr = (unsigned char*)m.data + (size_t)i * w * h * elemsize;
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memcpy(mptr, ptr, (size_t)w * h * elemsize);
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}
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return m;
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}
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Mat m = *this;
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m.dims = 2;
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m.w = _w;
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m.h = _h;
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m.c = 1;
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m.cstep = (size_t)_w * _h;
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return m;
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}
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Mat Mat::reshape(int _w, int _h, int _c, Allocator* _allocator) const
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{
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if (w * h * c != _w * _h * _c)
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return Mat();
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if (dims < 3)
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{
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if ((size_t)_w * _h != alignSize((size_t)_w * _h * elemsize, 16) / elemsize)
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{
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Mat m;
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m.create(_w, _h, _c, elemsize, elempack, _allocator);
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// align channel
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for (int i = 0; i < _c; i++)
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{
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const void* ptr = (unsigned char*)data + (size_t)i * _w * _h * elemsize;
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void* mptr = (unsigned char*)m.data + i * m.cstep * m.elemsize;
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memcpy(mptr, ptr, (size_t)_w * _h * elemsize);
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}
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return m;
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}
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}
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else if (c != _c)
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{
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// flatten and then align
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Mat tmp = reshape(_w * _h * _c, _allocator);
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return tmp.reshape(_w, _h, _c, _allocator);
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}
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Mat m = *this;
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m.dims = 3;
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m.w = _w;
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m.h = _h;
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m.c = _c;
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m.cstep = alignSize((size_t)_w * _h * elemsize, 16) / elemsize;
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return m;
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}
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void Mat::create(int _w, size_t _elemsize, Allocator* _allocator)
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{
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if (dims == 1 && w == _w && elemsize == _elemsize && elempack == 1 && allocator == _allocator)
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return;
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release();
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elemsize = _elemsize;
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elempack = 1;
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allocator = _allocator;
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dims = 1;
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w = _w;
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h = 1;
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c = 1;
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cstep = w;
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if (total() > 0)
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{
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size_t totalsize = alignSize(total() * elemsize, 4);
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if (allocator)
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data = allocator->fastMalloc(totalsize + (int)sizeof(*refcount));
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else
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data = fastMalloc(totalsize + (int)sizeof(*refcount));
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refcount = (int*)(((unsigned char*)data) + totalsize);
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*refcount = 1;
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}
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}
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void Mat::create(int _w, int _h, size_t _elemsize, Allocator* _allocator)
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{
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if (dims == 2 && w == _w && h == _h && elemsize == _elemsize && elempack == 1 && allocator == _allocator)
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return;
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release();
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elemsize = _elemsize;
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elempack = 1;
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allocator = _allocator;
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dims = 2;
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w = _w;
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h = _h;
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c = 1;
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cstep = (size_t)w * h;
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if (total() > 0)
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{
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size_t totalsize = alignSize(total() * elemsize, 4);
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if (allocator)
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data = allocator->fastMalloc(totalsize + (int)sizeof(*refcount));
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else
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data = fastMalloc(totalsize + (int)sizeof(*refcount));
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refcount = (int*)(((unsigned char*)data) + totalsize);
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*refcount = 1;
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}
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}
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void Mat::create(int _w, int _h, int _c, size_t _elemsize, Allocator* _allocator)
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{
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if (dims == 3 && w == _w && h == _h && c == _c && elemsize == _elemsize && elempack == 1 && allocator == _allocator)
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return;
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release();
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elemsize = _elemsize;
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elempack = 1;
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allocator = _allocator;
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dims = 3;
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w = _w;
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h = _h;
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c = _c;
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cstep = alignSize((size_t)w * h * elemsize, 16) / elemsize;
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if (total() > 0)
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{
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size_t totalsize = alignSize(total() * elemsize, 4);
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if (allocator)
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data = allocator->fastMalloc(totalsize + (int)sizeof(*refcount));
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else
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data = fastMalloc(totalsize + (int)sizeof(*refcount));
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refcount = (int*)(((unsigned char*)data) + totalsize);
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*refcount = 1;
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}
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}
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void Mat::create(int _w, size_t _elemsize, int _elempack, Allocator* _allocator)
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{
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if (dims == 1 && w == _w && elemsize == _elemsize && elempack == _elempack && allocator == _allocator)
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return;
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release();
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elemsize = _elemsize;
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elempack = _elempack;
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allocator = _allocator;
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dims = 1;
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w = _w;
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h = 1;
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c = 1;
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cstep = w;
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if (total() > 0)
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{
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size_t totalsize = alignSize(total() * elemsize, 4);
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if (allocator)
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data = allocator->fastMalloc(totalsize + (int)sizeof(*refcount));
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else
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data = fastMalloc(totalsize + (int)sizeof(*refcount));
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refcount = (int*)(((unsigned char*)data) + totalsize);
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*refcount = 1;
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}
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}
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void Mat::create(int _w, int _h, size_t _elemsize, int _elempack, Allocator* _allocator)
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{
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if (dims == 2 && w == _w && h == _h && elemsize == _elemsize && elempack == _elempack && allocator == _allocator)
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return;
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release();
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elemsize = _elemsize;
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elempack = _elempack;
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allocator = _allocator;
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dims = 2;
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w = _w;
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h = _h;
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c = 1;
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cstep = (size_t)w * h;
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if (total() > 0)
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{
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size_t totalsize = alignSize(total() * elemsize, 4);
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if (allocator)
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data = allocator->fastMalloc(totalsize + (int)sizeof(*refcount));
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else
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data = fastMalloc(totalsize + (int)sizeof(*refcount));
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refcount = (int*)(((unsigned char*)data) + totalsize);
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*refcount = 1;
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}
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}
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void Mat::create(int _w, int _h, int _c, size_t _elemsize, int _elempack, Allocator* _allocator)
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{
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if (dims == 3 && w == _w && h == _h && c == _c && elemsize == _elemsize && elempack == _elempack && allocator == _allocator)
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return;
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release();
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elemsize = _elemsize;
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elempack = _elempack;
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allocator = _allocator;
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dims = 3;
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w = _w;
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h = _h;
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c = _c;
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cstep = alignSize((size_t)w * h * elemsize, 16) / elemsize;
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if (total() > 0)
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{
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size_t totalsize = alignSize(total() * elemsize, 4);
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if (allocator)
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data = allocator->fastMalloc(totalsize + (int)sizeof(*refcount));
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else
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data = fastMalloc(totalsize + (int)sizeof(*refcount));
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refcount = (int*)(((unsigned char*)data) + totalsize);
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*refcount = 1;
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}
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}
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void Mat::create_like(const Mat& m, Allocator* _allocator)
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{
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int _dims = m.dims;
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if (_dims == 1)
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create(m.w, m.elemsize, m.elempack, _allocator);
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if (_dims == 2)
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create(m.w, m.h, m.elemsize, m.elempack, _allocator);
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if (_dims == 3)
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create(m.w, m.h, m.c, m.elemsize, m.elempack, _allocator);
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}
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#if NCNN_VULKAN
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void Mat::create_like(const VkMat& m, Allocator* _allocator)
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{
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int _dims = m.dims;
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if (_dims == 1)
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create(m.w, m.elemsize, m.elempack, _allocator);
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if (_dims == 2)
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create(m.w, m.h, m.elemsize, m.elempack, _allocator);
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if (_dims == 3)
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create(m.w, m.h, m.c, m.elemsize, m.elempack, _allocator);
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}
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void Mat::create_like(const VkImageMat& im, Allocator* _allocator)
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{
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int _dims = im.dims;
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if (_dims == 1)
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create(im.w, im.elemsize, im.elempack, _allocator);
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if (_dims == 2)
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create(im.w, im.h, im.elemsize, im.elempack, _allocator);
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if (_dims == 3)
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create(im.w, im.h, im.c, im.elemsize, im.elempack, _allocator);
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}
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#endif // NCNN_VULKAN
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#if NCNN_VULKAN
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void VkMat::create(int _w, size_t _elemsize, VkAllocator* _allocator)
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{
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if (dims == 1 && w == _w && elemsize == _elemsize && elempack == 1 && allocator == _allocator)
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return;
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release();
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elemsize = _elemsize;
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elempack = 1;
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allocator = _allocator;
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dims = 1;
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w = _w;
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h = 1;
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c = 1;
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cstep = w;
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if (total() > 0)
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{
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size_t totalsize = alignSize(total() * elemsize, 4);
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data = allocator->fastMalloc(totalsize);
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refcount = (int*)((unsigned char*)data + offsetof(VkBufferMemory, refcount));
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*refcount = 1;
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}
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}
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void VkMat::create(int _w, int _h, size_t _elemsize, VkAllocator* _allocator)
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{
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if (dims == 2 && w == _w && h == _h && elemsize == _elemsize && elempack == 1 && allocator == _allocator)
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return;
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release();
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elemsize = _elemsize;
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elempack = 1;
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allocator = _allocator;
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dims = 2;
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w = _w;
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h = _h;
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c = 1;
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cstep = w * h;
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if (total() > 0)
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{
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size_t totalsize = alignSize(total() * elemsize, 4);
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data = allocator->fastMalloc(totalsize);
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refcount = (int*)((unsigned char*)data + offsetof(VkBufferMemory, refcount));
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*refcount = 1;
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}
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}
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void VkMat::create(int _w, int _h, int _c, size_t _elemsize, VkAllocator* _allocator)
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{
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if (dims == 3 && w == _w && h == _h && c == _c && elemsize == _elemsize && elempack == 1 && allocator == _allocator)
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return;
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release();
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elemsize = _elemsize;
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elempack = 1;
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allocator = _allocator;
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dims = 3;
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w = _w;
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h = _h;
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c = _c;
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cstep = alignSize(w * h * elemsize, 16) / elemsize;
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if (total() > 0)
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{
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size_t totalsize = alignSize(total() * elemsize, 4);
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data = allocator->fastMalloc(totalsize);
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refcount = (int*)((unsigned char*)data + offsetof(VkBufferMemory, refcount));
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*refcount = 1;
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}
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}
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void VkMat::create(int _w, size_t _elemsize, int _elempack, VkAllocator* _allocator)
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{
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if (dims == 1 && w == _w && elemsize == _elemsize && elempack == _elempack && allocator == _allocator)
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return;
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release();
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elemsize = _elemsize;
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elempack = _elempack;
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allocator = _allocator;
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dims = 1;
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w = _w;
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h = 1;
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c = 1;
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cstep = w;
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if (total() > 0)
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{
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size_t totalsize = alignSize(total() * elemsize, 4);
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data = allocator->fastMalloc(totalsize);
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refcount = (int*)((unsigned char*)data + offsetof(VkBufferMemory, refcount));
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*refcount = 1;
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}
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}
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void VkMat::create(int _w, int _h, size_t _elemsize, int _elempack, VkAllocator* _allocator)
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{
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if (dims == 2 && w == _w && h == _h && elemsize == _elemsize && elempack == _elempack && allocator == _allocator)
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return;
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release();
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elemsize = _elemsize;
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elempack = _elempack;
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allocator = _allocator;
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dims = 2;
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w = _w;
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h = _h;
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c = 1;
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cstep = w * h;
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if (total() > 0)
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{
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size_t totalsize = alignSize(total() * elemsize, 4);
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data = allocator->fastMalloc(totalsize);
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refcount = (int*)((unsigned char*)data + offsetof(VkBufferMemory, refcount));
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*refcount = 1;
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}
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}
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void VkMat::create(int _w, int _h, int _c, size_t _elemsize, int _elempack, VkAllocator* _allocator)
|
|
{
|
|
if (dims == 3 && w == _w && h == _h && c == _c && elemsize == _elemsize && elempack == _elempack && allocator == _allocator)
|
|
return;
|
|
|
|
release();
|
|
|
|
elemsize = _elemsize;
|
|
elempack = _elempack;
|
|
allocator = _allocator;
|
|
|
|
dims = 3;
|
|
w = _w;
|
|
h = _h;
|
|
c = _c;
|
|
|
|
cstep = alignSize(w * h * elemsize, 16) / elemsize;
|
|
|
|
if (total() > 0)
|
|
{
|
|
size_t totalsize = alignSize(total() * elemsize, 4);
|
|
|
|
data = allocator->fastMalloc(totalsize);
|
|
|
|
refcount = (int*)((unsigned char*)data + offsetof(VkBufferMemory, refcount));
|
|
*refcount = 1;
|
|
}
|
|
}
|
|
|
|
void VkMat::create_like(const Mat& m, VkAllocator* _allocator)
|
|
{
|
|
int _dims = m.dims;
|
|
if (_dims == 1)
|
|
create(m.w, m.elemsize, m.elempack, _allocator);
|
|
if (_dims == 2)
|
|
create(m.w, m.h, m.elemsize, m.elempack, _allocator);
|
|
if (_dims == 3)
|
|
create(m.w, m.h, m.c, m.elemsize, m.elempack, _allocator);
|
|
}
|
|
|
|
void VkMat::create_like(const VkMat& m, VkAllocator* _allocator)
|
|
{
|
|
int _dims = m.dims;
|
|
if (_dims == 1)
|
|
create(m.w, m.elemsize, m.elempack, _allocator);
|
|
if (_dims == 2)
|
|
create(m.w, m.h, m.elemsize, m.elempack, _allocator);
|
|
if (_dims == 3)
|
|
create(m.w, m.h, m.c, m.elemsize, m.elempack, _allocator);
|
|
}
|
|
|
|
void VkMat::create_like(const VkImageMat& im, VkAllocator* _allocator)
|
|
{
|
|
int _dims = im.dims;
|
|
if (_dims == 1)
|
|
create(im.w, im.elemsize, im.elempack, _allocator);
|
|
if (_dims == 2)
|
|
create(im.w, im.h, im.elemsize, im.elempack, _allocator);
|
|
if (_dims == 3)
|
|
create(im.w, im.h, im.c, im.elemsize, im.elempack, _allocator);
|
|
}
|
|
|
|
void VkImageMat::create(int _w, size_t _elemsize, VkAllocator* _allocator)
|
|
{
|
|
if (dims == 1 && w == _w && elemsize == _elemsize && elempack == 1 && allocator == _allocator)
|
|
return;
|
|
|
|
release();
|
|
|
|
elemsize = _elemsize;
|
|
elempack = 1;
|
|
allocator = _allocator;
|
|
|
|
dims = 1;
|
|
w = _w;
|
|
h = 1;
|
|
c = 1;
|
|
|
|
if (total() > 0)
|
|
{
|
|
data = allocator->fastMalloc(w, h, c, elemsize, elempack);
|
|
if (!data)
|
|
return;
|
|
|
|
refcount = (int*)((unsigned char*)data + offsetof(VkImageMemory, refcount));
|
|
*refcount = 1;
|
|
}
|
|
}
|
|
|
|
void VkImageMat::create(int _w, int _h, size_t _elemsize, VkAllocator* _allocator)
|
|
{
|
|
if (dims == 2 && w == _w && h == _h && elemsize == _elemsize && elempack == 1 && allocator == _allocator)
|
|
return;
|
|
|
|
release();
|
|
|
|
elemsize = _elemsize;
|
|
elempack = 1;
|
|
allocator = _allocator;
|
|
|
|
dims = 2;
|
|
w = _w;
|
|
h = _h;
|
|
c = 1;
|
|
|
|
if (total() > 0)
|
|
{
|
|
data = allocator->fastMalloc(w, h, c, elemsize, elempack);
|
|
if (!data)
|
|
return;
|
|
|
|
refcount = (int*)((unsigned char*)data + offsetof(VkImageMemory, refcount));
|
|
*refcount = 1;
|
|
}
|
|
}
|
|
|
|
void VkImageMat::create(int _w, int _h, int _c, size_t _elemsize, VkAllocator* _allocator)
|
|
{
|
|
if (dims == 3 && w == _w && h == _h && c == _c && elemsize == _elemsize && elempack == 1 && allocator == _allocator)
|
|
return;
|
|
|
|
release();
|
|
|
|
elemsize = _elemsize;
|
|
elempack = 1;
|
|
allocator = _allocator;
|
|
|
|
dims = 3;
|
|
w = _w;
|
|
h = _h;
|
|
c = _c;
|
|
|
|
if (total() > 0)
|
|
{
|
|
data = allocator->fastMalloc(w, h, c, elemsize, elempack);
|
|
if (!data)
|
|
return;
|
|
|
|
refcount = (int*)((unsigned char*)data + offsetof(VkImageMemory, refcount));
|
|
*refcount = 1;
|
|
}
|
|
}
|
|
|
|
void VkImageMat::create(int _w, size_t _elemsize, int _elempack, VkAllocator* _allocator)
|
|
{
|
|
if (dims == 1 && w == _w && elemsize == _elemsize && elempack == _elempack && allocator == _allocator)
|
|
return;
|
|
|
|
release();
|
|
|
|
elemsize = _elemsize;
|
|
elempack = _elempack;
|
|
allocator = _allocator;
|
|
|
|
dims = 1;
|
|
w = _w;
|
|
h = 1;
|
|
c = 1;
|
|
|
|
if (total() > 0)
|
|
{
|
|
data = allocator->fastMalloc(w, h, c, elemsize, elempack);
|
|
if (!data)
|
|
return;
|
|
|
|
refcount = (int*)((unsigned char*)data + offsetof(VkImageMemory, refcount));
|
|
*refcount = 1;
|
|
}
|
|
}
|
|
|
|
void VkImageMat::create(int _w, int _h, size_t _elemsize, int _elempack, VkAllocator* _allocator)
|
|
{
|
|
if (dims == 2 && w == _w && h == _h && elemsize == _elemsize && elempack == _elempack && allocator == _allocator)
|
|
return;
|
|
|
|
release();
|
|
|
|
elemsize = _elemsize;
|
|
elempack = _elempack;
|
|
allocator = _allocator;
|
|
|
|
dims = 2;
|
|
w = _w;
|
|
h = _h;
|
|
c = 1;
|
|
|
|
if (total() > 0)
|
|
{
|
|
data = allocator->fastMalloc(w, h, c, elemsize, elempack);
|
|
if (!data)
|
|
return;
|
|
|
|
refcount = (int*)((unsigned char*)data + offsetof(VkImageMemory, refcount));
|
|
*refcount = 1;
|
|
}
|
|
}
|
|
|
|
void VkImageMat::create(int _w, int _h, int _c, size_t _elemsize, int _elempack, VkAllocator* _allocator)
|
|
{
|
|
if (dims == 3 && w == _w && h == _h && c == _c && elemsize == _elemsize && elempack == _elempack && allocator == _allocator)
|
|
return;
|
|
|
|
release();
|
|
|
|
elemsize = _elemsize;
|
|
elempack = _elempack;
|
|
allocator = _allocator;
|
|
|
|
dims = 3;
|
|
w = _w;
|
|
h = _h;
|
|
c = _c;
|
|
|
|
if (total() > 0)
|
|
{
|
|
data = allocator->fastMalloc(w, h, c, elemsize, elempack);
|
|
if (!data)
|
|
return;
|
|
|
|
refcount = (int*)((unsigned char*)data + offsetof(VkImageMemory, refcount));
|
|
*refcount = 1;
|
|
}
|
|
}
|
|
|
|
void VkImageMat::create_like(const Mat& m, VkAllocator* _allocator)
|
|
{
|
|
int _dims = m.dims;
|
|
if (_dims == 1)
|
|
create(m.w, m.elemsize, m.elempack, _allocator);
|
|
if (_dims == 2)
|
|
create(m.w, m.h, m.elemsize, m.elempack, _allocator);
|
|
if (_dims == 3)
|
|
create(m.w, m.h, m.c, m.elemsize, m.elempack, _allocator);
|
|
}
|
|
|
|
void VkImageMat::create_like(const VkMat& m, VkAllocator* _allocator)
|
|
{
|
|
int _dims = m.dims;
|
|
if (_dims == 1)
|
|
create(m.w, m.elemsize, m.elempack, _allocator);
|
|
if (_dims == 2)
|
|
create(m.w, m.h, m.elemsize, m.elempack, _allocator);
|
|
if (_dims == 3)
|
|
create(m.w, m.h, m.c, m.elemsize, m.elempack, _allocator);
|
|
}
|
|
|
|
void VkImageMat::create_like(const VkImageMat& im, VkAllocator* _allocator)
|
|
{
|
|
int _dims = im.dims;
|
|
if (_dims == 1)
|
|
create(im.w, im.elemsize, im.elempack, _allocator);
|
|
if (_dims == 2)
|
|
create(im.w, im.h, im.elemsize, im.elempack, _allocator);
|
|
if (_dims == 3)
|
|
create(im.w, im.h, im.c, im.elemsize, im.elempack, _allocator);
|
|
}
|
|
#endif // NCNN_VULKAN
|
|
|
|
void Mat::substract_mean_normalize(const float* mean_vals, const float* norm_vals)
|
|
{
|
|
Layer* op;
|
|
|
|
if (mean_vals && !norm_vals)
|
|
{
|
|
// substract mean only
|
|
op = create_layer(LayerType::Bias);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, c);
|
|
|
|
op->load_param(pd);
|
|
|
|
Mat weights[1];
|
|
weights[0] = Mat(c);
|
|
for (int q = 0; q < c; q++)
|
|
{
|
|
weights[0][q] = -mean_vals[q];
|
|
}
|
|
|
|
op->load_model(ModelBinFromMatArray(weights));
|
|
}
|
|
else if (!mean_vals && norm_vals)
|
|
{
|
|
// normalize only
|
|
op = create_layer(LayerType::Scale);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, c);
|
|
|
|
op->load_param(pd);
|
|
|
|
Mat weights[1];
|
|
weights[0] = Mat(c);
|
|
for (int q = 0; q < c; q++)
|
|
{
|
|
weights[0][q] = norm_vals[q];
|
|
}
|
|
|
|
op->load_model(ModelBinFromMatArray(weights));
|
|
}
|
|
else if (mean_vals && norm_vals)
|
|
{
|
|
// substract mean and normalize
|
|
op = create_layer(LayerType::Scale);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, c);
|
|
pd.set(1, 1);
|
|
|
|
op->load_param(pd);
|
|
|
|
Mat weights[2];
|
|
weights[0] = Mat(c);
|
|
weights[1] = Mat(c);
|
|
for (int q = 0; q < c; q++)
|
|
{
|
|
weights[0][q] = norm_vals[q];
|
|
weights[1][q] = -mean_vals[q] * norm_vals[q];
|
|
}
|
|
|
|
op->load_model(ModelBinFromMatArray(weights));
|
|
}
|
|
else // if (!mean_vals && !norm_vals)
|
|
{
|
|
return;
|
|
}
|
|
|
|
Option opt;
|
|
opt.num_threads = 1; // TODO
|
|
|
|
op->create_pipeline(opt);
|
|
|
|
op->forward_inplace(*this, opt);
|
|
|
|
op->destroy_pipeline(opt);
|
|
|
|
delete op;
|
|
}
|
|
|
|
Mat Mat::from_float16(const unsigned short* data, int size)
|
|
{
|
|
Mat m(size);
|
|
if (m.empty())
|
|
return m;
|
|
|
|
float* ptr = m; //.data;
|
|
|
|
#if __ARM_NEON && (__ARM_FP & 2)
|
|
int nn = cpu_support_arm_vfpv4() ? size >> 2 : 0;
|
|
int remain = size - (nn << 2);
|
|
#else
|
|
int remain = size;
|
|
#endif // __ARM_NEON
|
|
|
|
#if __ARM_NEON && (__ARM_FP & 2)
|
|
#if __aarch64__
|
|
if (nn > 0)
|
|
{
|
|
asm volatile(
|
|
"0: \n"
|
|
"ld1 {v0.4h}, [%1], #8 \n"
|
|
"fcvtl v1.4s, v0.4h \n"
|
|
"subs %w0, %w0, #1 \n"
|
|
"st1 {v1.4s}, [%2], #16 \n"
|
|
"bne 0b \n"
|
|
: "=r"(nn), // %0
|
|
"=r"(data), // %1
|
|
"=r"(ptr) // %2
|
|
: "0"(nn),
|
|
"1"(data),
|
|
"2"(ptr)
|
|
: "cc", "memory", "v0", "v1");
|
|
}
|
|
#else
|
|
if (nn > 0)
|
|
{
|
|
asm volatile(
|
|
"0: \n"
|
|
"pld [%1, #64] \n"
|
|
"vld1.s16 {d0}, [%1 :64]! \n"
|
|
"vcvt.f32.f16 q1, d0 \n"
|
|
"subs %0, #1 \n"
|
|
"vst1.f32 {d2-d3}, [%2 :128]! \n"
|
|
"bne 0b \n"
|
|
: "=r"(nn), // %0
|
|
"=r"(data), // %1
|
|
"=r"(ptr) // %2
|
|
: "0"(nn),
|
|
"1"(data),
|
|
"2"(ptr)
|
|
: "cc", "memory", "q0", "q1");
|
|
}
|
|
#endif // __aarch64__
|
|
#endif // __ARM_NEON
|
|
for (; remain > 0; remain--)
|
|
{
|
|
*ptr = float16_to_float32(*data);
|
|
|
|
data++;
|
|
ptr++;
|
|
}
|
|
|
|
return m;
|
|
}
|
|
|
|
#if NCNN_VULKAN
|
|
#if NCNN_PLATFORM_API
|
|
#if __ANDROID_API__ >= 26
|
|
VkImageMat VkImageMat::from_android_hardware_buffer(VkAndroidHardwareBufferImageAllocator* allocator)
|
|
{
|
|
int width = allocator->width();
|
|
int height = allocator->height();
|
|
|
|
return VkImageMat(width, height, allocator);
|
|
}
|
|
#endif // __ANDROID_API__ >= 26
|
|
#endif // NCNN_PLATFORM_API
|
|
#endif // NCNN_VULKAN
|
|
|
|
unsigned short float32_to_float16(float value)
|
|
{
|
|
// 1 : 8 : 23
|
|
union
|
|
{
|
|
unsigned int u;
|
|
float f;
|
|
} tmp;
|
|
|
|
tmp.f = value;
|
|
|
|
// 1 : 8 : 23
|
|
unsigned short sign = (tmp.u & 0x80000000) >> 31;
|
|
unsigned short exponent = (tmp.u & 0x7F800000) >> 23;
|
|
unsigned int significand = tmp.u & 0x7FFFFF;
|
|
|
|
// NCNN_LOGE("%d %d %d", sign, exponent, significand);
|
|
|
|
// 1 : 5 : 10
|
|
unsigned short fp16;
|
|
if (exponent == 0)
|
|
{
|
|
// zero or denormal, always underflow
|
|
fp16 = (sign << 15) | (0x00 << 10) | 0x00;
|
|
}
|
|
else if (exponent == 0xFF)
|
|
{
|
|
// infinity or NaN
|
|
fp16 = (sign << 15) | (0x1F << 10) | (significand ? 0x200 : 0x00);
|
|
}
|
|
else
|
|
{
|
|
// normalized
|
|
short newexp = exponent + (-127 + 15);
|
|
if (newexp >= 31)
|
|
{
|
|
// overflow, return infinity
|
|
fp16 = (sign << 15) | (0x1F << 10) | 0x00;
|
|
}
|
|
else if (newexp <= 0)
|
|
{
|
|
// Some normal fp32 cannot be expressed as normal fp16
|
|
fp16 = (sign << 15) | (0x00 << 10) | 0x00;
|
|
}
|
|
else
|
|
{
|
|
// normal fp16
|
|
fp16 = (sign << 15) | (newexp << 10) | (significand >> 13);
|
|
}
|
|
}
|
|
|
|
return fp16;
|
|
}
|
|
|
|
float float16_to_float32(unsigned short value)
|
|
{
|
|
// 1 : 5 : 10
|
|
unsigned short sign = (value & 0x8000) >> 15;
|
|
unsigned short exponent = (value & 0x7c00) >> 10;
|
|
unsigned short significand = value & 0x03FF;
|
|
|
|
// NCNN_LOGE("%d %d %d", sign, exponent, significand);
|
|
|
|
// 1 : 8 : 23
|
|
union
|
|
{
|
|
unsigned int u;
|
|
float f;
|
|
} tmp;
|
|
if (exponent == 0)
|
|
{
|
|
if (significand == 0)
|
|
{
|
|
// zero
|
|
tmp.u = (sign << 31);
|
|
}
|
|
else
|
|
{
|
|
// denormal
|
|
exponent = 0;
|
|
// find non-zero bit
|
|
while ((significand & 0x200) == 0)
|
|
{
|
|
significand <<= 1;
|
|
exponent++;
|
|
}
|
|
significand <<= 1;
|
|
significand &= 0x3FF;
|
|
tmp.u = (sign << 31) | ((-exponent + (-15 + 127)) << 23) | (significand << 13);
|
|
}
|
|
}
|
|
else if (exponent == 0x1F)
|
|
{
|
|
// infinity or NaN
|
|
tmp.u = (sign << 31) | (0xFF << 23) | (significand << 13);
|
|
}
|
|
else
|
|
{
|
|
// normalized
|
|
tmp.u = (sign << 31) | ((exponent + (-15 + 127)) << 23) | (significand << 13);
|
|
}
|
|
|
|
return tmp.f;
|
|
}
|
|
|
|
void copy_make_border(const Mat& src, Mat& dst, int top, int bottom, int left, int right, int type, float v, const Option& opt)
|
|
{
|
|
Layer* padding = create_layer(LayerType::Padding);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, top);
|
|
pd.set(1, bottom);
|
|
pd.set(2, left);
|
|
pd.set(3, right);
|
|
pd.set(4, type);
|
|
pd.set(5, v);
|
|
|
|
padding->load_param(pd);
|
|
|
|
padding->create_pipeline(opt);
|
|
|
|
padding->forward(src, dst, opt);
|
|
|
|
padding->destroy_pipeline(opt);
|
|
|
|
delete padding;
|
|
}
|
|
|
|
void copy_cut_border(const Mat& src, Mat& dst, int top, int bottom, int left, int right, const Option& opt)
|
|
{
|
|
if (left + right > src.w || top + bottom > src.h)
|
|
{
|
|
NCNN_LOGE("copy_cut_border parameter error, top: %d, bottom: %d, left: %d, right: %d, src.w: %d, src.h: %d", top, bottom, left, right, src.w, src.h);
|
|
return;
|
|
}
|
|
Layer* crop = create_layer(LayerType::Crop);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, left);
|
|
pd.set(1, top);
|
|
pd.set(2, 0);
|
|
pd.set(3, src.w - left - right);
|
|
pd.set(4, src.h - top - bottom);
|
|
pd.set(5, -233);
|
|
|
|
crop->load_param(pd);
|
|
|
|
crop->create_pipeline(opt);
|
|
|
|
crop->forward(src, dst, opt);
|
|
|
|
crop->destroy_pipeline(opt);
|
|
|
|
delete crop;
|
|
}
|
|
|
|
void resize_nearest(const Mat& src, Mat& dst, int w, int h, const Option& opt)
|
|
{
|
|
Layer* interp = create_layer(LayerType::Interp);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, 1);
|
|
pd.set(3, h);
|
|
pd.set(4, w);
|
|
|
|
interp->load_param(pd);
|
|
|
|
interp->create_pipeline(opt);
|
|
|
|
interp->forward(src, dst, opt);
|
|
|
|
interp->destroy_pipeline(opt);
|
|
|
|
delete interp;
|
|
}
|
|
|
|
void resize_bilinear(const Mat& src, Mat& dst, int w, int h, const Option& opt)
|
|
{
|
|
Layer* interp = create_layer(LayerType::Interp);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, 2);
|
|
pd.set(3, h);
|
|
pd.set(4, w);
|
|
|
|
interp->load_param(pd);
|
|
|
|
interp->create_pipeline(opt);
|
|
|
|
interp->forward(src, dst, opt);
|
|
|
|
interp->destroy_pipeline(opt);
|
|
|
|
delete interp;
|
|
}
|
|
|
|
void resize_bicubic(const Mat& src, Mat& dst, int w, int h, const Option& opt)
|
|
{
|
|
Layer* interp = create_layer(LayerType::Interp);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, 3);
|
|
pd.set(3, h);
|
|
pd.set(4, w);
|
|
|
|
interp->load_param(pd);
|
|
|
|
interp->create_pipeline(opt);
|
|
|
|
interp->forward(src, dst, opt);
|
|
|
|
interp->destroy_pipeline(opt);
|
|
|
|
delete interp;
|
|
}
|
|
|
|
void convert_packing(const Mat& src, Mat& dst, int _elempack, const Option& opt)
|
|
{
|
|
Layer* packing = create_layer(LayerType::Packing);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, _elempack);
|
|
|
|
packing->load_param(pd);
|
|
|
|
packing->create_pipeline(opt);
|
|
|
|
packing->forward(src, dst, opt);
|
|
|
|
packing->destroy_pipeline(opt);
|
|
|
|
delete packing;
|
|
}
|
|
|
|
void flatten(const Mat& src, Mat& dst, const Option& opt)
|
|
{
|
|
Layer* flatten = create_layer(LayerType::Flatten);
|
|
|
|
ParamDict pd;
|
|
|
|
flatten->load_param(pd);
|
|
|
|
flatten->create_pipeline(opt);
|
|
|
|
flatten->forward(src, dst, opt);
|
|
|
|
flatten->destroy_pipeline(opt);
|
|
|
|
delete flatten;
|
|
}
|
|
|
|
void cast_float32_to_float16(const Mat& src, Mat& dst, const Option& opt)
|
|
{
|
|
Layer* cast = create_layer(LayerType::Cast);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, 1);
|
|
pd.set(1, 2);
|
|
|
|
cast->load_param(pd);
|
|
|
|
cast->create_pipeline(opt);
|
|
|
|
cast->forward(src, dst, opt);
|
|
|
|
cast->destroy_pipeline(opt);
|
|
|
|
delete cast;
|
|
}
|
|
|
|
void cast_float16_to_float32(const Mat& src, Mat& dst, const Option& opt)
|
|
{
|
|
Layer* cast = create_layer(LayerType::Cast);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, 2);
|
|
pd.set(1, 1);
|
|
|
|
cast->load_param(pd);
|
|
|
|
cast->create_pipeline(opt);
|
|
|
|
cast->forward(src, dst, opt);
|
|
|
|
cast->destroy_pipeline(opt);
|
|
|
|
delete cast;
|
|
}
|
|
|
|
void cast_int8_to_float32(const Mat& src, Mat& dst, const Option& opt)
|
|
{
|
|
Layer* cast = create_layer(LayerType::Cast);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, 3);
|
|
pd.set(1, 1);
|
|
|
|
cast->load_param(pd);
|
|
|
|
cast->create_pipeline(opt);
|
|
|
|
cast->forward(src, dst, opt);
|
|
|
|
cast->destroy_pipeline(opt);
|
|
|
|
delete cast;
|
|
}
|
|
|
|
void cast_float32_to_bfloat16(const Mat& src, Mat& dst, const Option& opt)
|
|
{
|
|
Layer* cast = create_layer(LayerType::Cast);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, 1);
|
|
pd.set(1, 4);
|
|
|
|
cast->load_param(pd);
|
|
|
|
cast->create_pipeline(opt);
|
|
|
|
cast->forward(src, dst, opt);
|
|
|
|
cast->destroy_pipeline(opt);
|
|
|
|
delete cast;
|
|
}
|
|
|
|
void cast_bfloat16_to_float32(const Mat& src, Mat& dst, const Option& opt)
|
|
{
|
|
Layer* cast = create_layer(LayerType::Cast);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, 4);
|
|
pd.set(1, 1);
|
|
|
|
cast->load_param(pd);
|
|
|
|
cast->create_pipeline(opt);
|
|
|
|
cast->forward(src, dst, opt);
|
|
|
|
cast->destroy_pipeline(opt);
|
|
|
|
delete cast;
|
|
}
|
|
|
|
void quantize_to_int8(const Mat& src, Mat& dst, const Mat& scale_data, const Option& opt)
|
|
{
|
|
Layer* quantize = create_layer(LayerType::Quantize);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, scale_data.w);
|
|
|
|
quantize->load_param(pd);
|
|
|
|
Mat weights[1];
|
|
weights[0] = scale_data;
|
|
|
|
quantize->load_model(ModelBinFromMatArray(weights));
|
|
|
|
quantize->create_pipeline(opt);
|
|
|
|
quantize->forward(src, dst, opt);
|
|
|
|
quantize->destroy_pipeline(opt);
|
|
|
|
delete quantize;
|
|
}
|
|
|
|
void dequantize_from_int32(const Mat& src, Mat& dst, const Mat& scale_data, const Mat& bias_data, const Option& opt)
|
|
{
|
|
Layer* dequantize = create_layer(LayerType::Dequantize);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, scale_data.w);
|
|
pd.set(1, bias_data.w);
|
|
|
|
dequantize->load_param(pd);
|
|
|
|
Mat weights[2];
|
|
weights[0] = scale_data;
|
|
weights[1] = bias_data;
|
|
|
|
dequantize->load_model(ModelBinFromMatArray(weights));
|
|
|
|
dequantize->create_pipeline(opt);
|
|
|
|
dequantize->forward(src, dst, opt);
|
|
|
|
dequantize->destroy_pipeline(opt);
|
|
|
|
delete dequantize;
|
|
}
|
|
|
|
void requantize_from_int32_to_int8(const Mat& src, Mat& dst, const Mat& scale_in_data, const Mat& scale_out_data, const Mat& bias_data, int activation_type, const Mat& activation_params, const Option& opt)
|
|
{
|
|
Layer* requantize = create_layer(LayerType::Requantize);
|
|
|
|
ParamDict pd;
|
|
pd.set(0, scale_in_data.w);
|
|
pd.set(1, scale_out_data.w);
|
|
pd.set(2, bias_data.w);
|
|
pd.set(3, activation_type);
|
|
pd.set(4, activation_params);
|
|
|
|
requantize->load_param(pd);
|
|
|
|
Mat weights[3];
|
|
weights[0] = scale_in_data;
|
|
weights[1] = scale_out_data;
|
|
weights[2] = bias_data;
|
|
|
|
requantize->load_model(ModelBinFromMatArray(weights));
|
|
|
|
requantize->create_pipeline(opt);
|
|
|
|
requantize->forward(src, dst, opt);
|
|
|
|
requantize->destroy_pipeline(opt);
|
|
|
|
delete requantize;
|
|
}
|
|
|
|
} // namespace ncnn
|