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https://github.com/open-mmlab/mmdeploy.git
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2c2d1e5ad9
* feat(codebase/cls): support vision_transformer * style(onnx2ncnn): format cpp code, upgrade mmcls version * fix(CI): upgrade mmcv to 1.4.2 * fix(onnx2ncnn): offset out of range during fuse conv reshape * docs(vision_transformer.py): update VisionTransformer desc * docs(onnx2ncnn.cpp): add more comment * feat(onnx2ncnn.cpp): revert fuse weight * docs(onnx2ncnn.cpp): add more comment * test(vision_transformer): add test case * refactor(vision_transformer.py): use symbol rewrite layer_norm * refactor(vision_transformer): fix review * fix(attention): add missing files
48 lines
1.0 KiB
C++
Executable File
48 lines
1.0 KiB
C++
Executable File
// Copyright (c) OpenMMLab. All rights reserved.
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#include "shape.h"
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#include "../ncnn_ops_definer.h"
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namespace mmdeploy {
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using namespace ncnn;
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DEFINE_LAYER_CREATOR(Shape)
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DEFINE_NCNN_OPS(Shape, Shape)
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Shape::Shape() {
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one_blob_only = true;
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support_inplace = false;
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}
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int Shape::forward(const Mat &bottom_blob, Mat &top_blob, const Option &opt) const {
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int dims = bottom_blob.dims;
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int w = bottom_blob.w;
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size_t elemsize = sizeof(float);
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top_blob.create(dims + 1, elemsize, opt.blob_allocator);
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if (top_blob.empty()) {
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return -100;
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}
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float *outptr = top_blob;
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if (dims == 1) {
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outptr[0] = 1.0f;
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outptr[1] = w;
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} else if (dims == 2) {
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int h = bottom_blob.h;
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outptr[0] = 1.0f;
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outptr[1] = h;
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outptr[2] = w;
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} else if (dims == 3) {
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int h = bottom_blob.h;
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int channels = bottom_blob.c;
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outptr[0] = 1.0f;
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outptr[1] = channels;
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outptr[2] = h;
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outptr[3] = w;
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} else {
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fprintf(stdout, "Unsupported dims=%d\n", dims);
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}
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return 0;
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}
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} // namespace mmdeploy
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