/dports/misc/mxnet/incubator-mxnet-1.9.0/example/rcnn/symnet/ |
H A D | symbol_resnet.py | 109 rpn_cls_score_reshape = mx.symbol.Reshape( 115 rpn_cls_act_reshape = mx.symbol.Reshape( 158 label = mx.symbol.Reshape(data=label, shape=(rcnn_batch_size, -1), name='label_reshape') 159 …cls_prob = mx.symbol.Reshape(data=cls_prob, shape=(rcnn_batch_size, -1, num_classes), name='cls_pr… 160 …bbox_loss = mx.symbol.Reshape(data=bbox_loss, shape=(rcnn_batch_size, -1, 4 * num_classes), name='… 187 rpn_cls_score_reshape = mx.symbol.Reshape( 191 rpn_cls_act_reshape = mx.symbol.Reshape( 220 …cls_prob = mx.symbol.Reshape(data=cls_prob, shape=(rcnn_batch_size, -1, num_classes), name='cls_pr… 221 …bbox_pred = mx.symbol.Reshape(data=bbox_pred, shape=(rcnn_batch_size, -1, 4 * num_classes), name='…
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/rcnn/symnet/ |
H A D | symbol_resnet.py | 109 rpn_cls_score_reshape = mx.symbol.Reshape( 115 rpn_cls_act_reshape = mx.symbol.Reshape( 158 label = mx.symbol.Reshape(data=label, shape=(rcnn_batch_size, -1), name='label_reshape') 159 …cls_prob = mx.symbol.Reshape(data=cls_prob, shape=(rcnn_batch_size, -1, num_classes), name='cls_pr… 160 …bbox_loss = mx.symbol.Reshape(data=bbox_loss, shape=(rcnn_batch_size, -1, 4 * num_classes), name='… 187 rpn_cls_score_reshape = mx.symbol.Reshape( 191 rpn_cls_act_reshape = mx.symbol.Reshape( 220 …cls_prob = mx.symbol.Reshape(data=cls_prob, shape=(rcnn_batch_size, -1, num_classes), name='cls_pr… 221 …bbox_pred = mx.symbol.Reshape(data=bbox_pred, shape=(rcnn_batch_size, -1, 4 * num_classes), name='…
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/dports/math/mfem/mfem-4.3/fem/ |
H A D | nonlininteg_vectorconvection.cpp | 56 auto J = Reshape(geom->J.Read(), NQ, 2, 2, NE); in AssemblePA() 76 auto J = Reshape(geom->J.Read(), NQ, 3, 3, NE); in AssemblePA() 133 auto B = Reshape(b.Read(), Q1D, D1D); in PAConvectionNLApply2D() 134 auto G = Reshape(g.Read(), Q1D, D1D); in PAConvectionNLApply2D() 135 auto Bt = Reshape(bt.Read(), D1D, Q1D); in PAConvectionNLApply2D() 137 auto x = Reshape(x_.Read(), D1D, D1D, 2, NE); in PAConvectionNLApply2D() 271 auto B = Reshape(b.Read(), Q1D, D1D); in PAConvectionNLApply3D() 272 auto G = Reshape(g.Read(), Q1D, D1D); in PAConvectionNLApply3D() 273 auto Bt = Reshape(bt.Read(), D1D, Q1D); in PAConvectionNLApply3D() 578 auto b = Reshape(b_.Read(), Q1D, D1D); in SmemPAConvectionNLApply3D() [all …]
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H A D | bilinearform_ext.cpp | 586 auto X = Reshape(useRestrict?localX.Read():x.Read(), NDOFS, ne); in Mult() 588 auto A = Reshape(ea_data.Read(), NDOFS, NDOFS, ne); in Mult() 618 auto X = Reshape(faceIntX.Read(), NDOFS, 2, nf_int); in Mult() 619 auto Y = Reshape(faceIntY.ReadWrite(), NDOFS, 2, nf_int); in Mult() 676 auto X = Reshape(faceBdrX.Read(), NDOFS, nf_bdr); in Mult() 677 auto Y = Reshape(faceBdrY.ReadWrite(), NDOFS, nf_bdr); in Mult() 714 auto A = Reshape(ea_data.Read(), NDOFS, NDOFS, ne); in MultTranspose() 744 auto X = Reshape(faceIntX.Read(), NDOFS, 2, nf_int); in MultTranspose() 745 auto Y = Reshape(faceIntY.ReadWrite(), NDOFS, 2, nf_int); in MultTranspose() 802 auto X = Reshape(faceBdrX.Read(), NDOFS, nf_bdr); in MultTranspose() [all …]
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/dports/math/mfem/mfem-4.3/fem/tmop/ |
H A D | tmop_pa_jp3.cpp | 34 const auto b = Reshape(b_.Read(), Q1D, D1D); in MFEM_REGISTER_TMOP_KERNELS() 35 const auto g = Reshape(g_.Read(), Q1D, D1D); in MFEM_REGISTER_TMOP_KERNELS() 36 const auto X = Reshape(x_.Read(), D1D, D1D, D1D, DIM, NE); in MFEM_REGISTER_TMOP_KERNELS() 38 auto E = Reshape(DetJ.Write(), Q1D, Q1D, Q1D, NE); in MFEM_REGISTER_TMOP_KERNELS()
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H A D | tmop_pa_h2m_c0.cpp | 36 const auto H0 = Reshape(h0_.Read(), DIM, DIM, Q1D, Q1D, NE); in MFEM_REGISTER_TMOP_KERNELS() 37 const auto b = Reshape(b_.Read(), Q1D, D1D); in MFEM_REGISTER_TMOP_KERNELS() 38 const auto R = Reshape(r_.Read(), D1D, D1D, DIM, NE); in MFEM_REGISTER_TMOP_KERNELS() 40 auto Y = Reshape(c_.ReadWrite(), D1D, D1D, DIM, NE); in MFEM_REGISTER_TMOP_KERNELS()
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H A D | tmop_pa_p3.cpp | 119 const auto J = Reshape(j_.Read(), DIM, DIM, Q1D, Q1D, Q1D, NE); in MFEM_REGISTER_TMOP_KERNELS() 120 const auto W = Reshape(w_.Read(), Q1D, Q1D, Q1D); in MFEM_REGISTER_TMOP_KERNELS() 121 const auto b = Reshape(b_.Read(), Q1D, D1D); in MFEM_REGISTER_TMOP_KERNELS() 122 const auto g = Reshape(g_.Read(), Q1D, D1D); in MFEM_REGISTER_TMOP_KERNELS() 123 const auto X = Reshape(x_.Read(), D1D, D1D, D1D, DIM, NE); in MFEM_REGISTER_TMOP_KERNELS() 124 auto Y = Reshape(y_.ReadWrite(), D1D, D1D, D1D, DIM, NE); in MFEM_REGISTER_TMOP_KERNELS()
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H A D | tmop_pa_h3m_c0.cpp | 35 const auto H0 = Reshape(h0_.Read(), DIM, DIM, Q1D, Q1D, Q1D, NE); in MFEM_REGISTER_TMOP_KERNELS() 36 const auto b = Reshape(b_.Read(), Q1D, D1D); in MFEM_REGISTER_TMOP_KERNELS() 37 const auto R = Reshape(r_.Read(), D1D, D1D, D1D, DIM, NE); in MFEM_REGISTER_TMOP_KERNELS() 39 auto Y = Reshape(c_.ReadWrite(), D1D, D1D, D1D, DIM, NE); in MFEM_REGISTER_TMOP_KERNELS()
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/dports/misc/visp/visp-3.4.0/tutorial/detection/dnn/ |
H A D | opencv_face_detector.pbtxt | 601 name: "flatten/Reshape" 646 name: "flatten_6/Reshape" 1381 name: "flatten_5/Reshape" 1471 name: "flatten_4/Reshape" 1561 name: "flatten_3/Reshape" 1606 name: "flatten_9/Reshape" 1651 name: "flatten_2/Reshape" 1696 name: "flatten_8/Reshape" 1741 name: "flatten_1/Reshape" 1748 input: "flatten/Reshape" [all …]
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/dports/graphics/opencv/opencv-4.5.3/samples/dnn/face_detector/ |
H A D | opencv_face_detector.pbtxt | 601 name: "flatten/Reshape" 646 name: "flatten_6/Reshape" 1381 name: "flatten_5/Reshape" 1471 name: "flatten_4/Reshape" 1561 name: "flatten_3/Reshape" 1606 name: "flatten_9/Reshape" 1651 name: "flatten_2/Reshape" 1696 name: "flatten_8/Reshape" 1741 name: "flatten_1/Reshape" 1748 input: "flatten/Reshape" [all …]
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/dports/science/py-chainer/chainer-7.8.0/chainerx_cc/chainerx/routines/ |
H A D | statistics.cc | 52 reshaped_gout = gout.Reshape(shape); in AMax() 53 reshaped_out = out.Reshape(shape); in AMax() 97 reshaped_gout = gout.Reshape(shape); in AMin() 98 reshaped_out = out.Reshape(shape); in AMin() 136 bctx.input_grad() = gout.Reshape(out_shape_broadcastable).BroadcastTo(in_shape) / n; in Mean()
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/dports/misc/ncnn/ncnn-20211208/benchmark/ |
H A D | nanodet_m.param | 156 Reshape Reshape_397 1 1 889 891 -23330=4,2,1600,80,1 0=-1 1=80 158 Reshape Reshape_400 1 1 888 894 -23330=4,2,1600,32,1 0=-1 1=32 167 Reshape Reshape_414 1 1 911 913 -23330=4,2,400,80,1 0=-1 1=80 169 Reshape Reshape_417 1 1 910 916 -23330=4,2,400,32,1 0=-1 1=32 178 Reshape Reshape_431 1 1 933 935 -23330=4,2,100,80,1 0=-1 1=80 180 Reshape Reshape_434 1 1 932 938 -23330=4,2,100,32,1 0=-1 1=32
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/dports/graphics/glx-utils/demos-5435fc7fbd332e171da9a71e33a9b190e9462cf0/src/tests/ |
H A D | multiwindow.c | 100 static void Reshape( int width, int height ) in Reshape() function 150 glutReshapeFunc( Reshape ); in main() 161 glutReshapeFunc( Reshape ); in main()
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/dports/graphics/mesa-demos/mesa-demos-8.4.0/src/tests/ |
H A D | multiwindow.c | 100 static void Reshape( int width, int height ) in Reshape() function 150 glutReshapeFunc( Reshape ); in main() 161 glutReshapeFunc( Reshape ); in main()
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/dports/misc/mxnet/incubator-mxnet-1.9.0/example/capsnet/ |
H A D | capsulelayers.py | 38 out = mx.sym.Reshape(data=out, shape=(0, -1, dim_vector)) 74 inputs_expand = mx.sym.Reshape(data=data, shape=(0, 0, -4, -1, 1)) 75 inputs_expand = mx.sym.Reshape(data=inputs_expand, shape=(0, 0, -4, 1, -1, 0)) 105 outputs = mx.sym.Reshape(data=outputs, shape=(-1, self.num_capsule, self.dim_vector))
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/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/capsnet/ |
H A D | capsulelayers.py | 38 out = mx.sym.Reshape(data=out, shape=(0, -1, dim_vector)) 74 inputs_expand = mx.sym.Reshape(data=data, shape=(0, 0, -4, -1, 1)) 75 inputs_expand = mx.sym.Reshape(data=inputs_expand, shape=(0, 0, -4, 1, -1, 0)) 105 outputs = mx.sym.Reshape(data=outputs, shape=(-1, self.num_capsule, self.dim_vector))
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/dports/graphics/glx-utils/demos-5435fc7fbd332e171da9a71e33a9b190e9462cf0/src/trivial/ |
H A D | clear-undefined.c | 23 static void Reshape(int width, int height) in Reshape() function 131 Reshape(Width, Height); in main() 133 glutReshapeFunc(Reshape); in main()
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/dports/textproc/opensearch-dashboards/opensearch-dashboards-1.2.0-linux-x64/plugins/observabilityDashboards/node_modules/@algolia/autocomplete-core/dist/esm/types/ |
H A D | AutocompleteOptions.d.ts | 6 import { Reshape } from './AutocompleteReshape'; 162 reshape?: Reshape<TItem>; 183 reshape: Reshape<TItem>;
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/dports/graphics/mesa-demos/mesa-demos-8.4.0/src/trivial/ |
H A D | clear-undefined.c | 23 static void Reshape(int width, int height) in Reshape() function 131 Reshape(Width, Height); in main() 133 glutReshapeFunc(Reshape); in main()
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/dports/graphics/vapoursynth-waifu2x-ncnn-vulkan/vapoursynth-waifu2x-ncnn-vulkan-r4/deps/ncnn/src/layer/ |
H A D | reshape.h | 22 class Reshape : public Layer 25 Reshape();
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/dports/graphics/waifu2x-ncnn-vulkan/waifu2x-ncnn-vulkan-20210521/src/ncnn/src/layer/ |
H A D | reshape.h | 22 class Reshape : public Layer 25 Reshape();
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/dports/benchmarks/vkpeak/vkpeak-20210430/ncnn/src/layer/ |
H A D | reshape.h | 22 class Reshape : public Layer 25 Reshape();
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/dports/graphics/realsr-ncnn-vulkan/realsr-ncnn-vulkan-20210210/src/ncnn/src/layer/ |
H A D | reshape.h | 22 class Reshape : public Layer 25 Reshape();
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/dports/misc/ncnn/ncnn-20211208/src/layer/ |
H A D | reshape.h | 22 class Reshape : public Layer 25 Reshape();
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/dports/misc/mxnet/incubator-mxnet-1.9.0/example/rnn/word_lm/ |
H A D | model.py | 49 pred = mx.sym.Reshape(outputs, shape=(-1, nhid)) 57 pred = mx.sym.Reshape(pred, shape=(-1, vocab_size)) 63 label = mx.sym.Reshape(label, shape=(-1,))
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