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/dports/misc/mxnet/incubator-mxnet-1.9.0/example/rcnn/symnet/
H A Dsymbol_resnet.py109 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='…
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/rcnn/symnet/
H A Dsymbol_resnet.py109 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='…
/dports/math/mfem/mfem-4.3/fem/
H A Dnonlininteg_vectorconvection.cpp56 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 …]
H A Dbilinearform_ext.cpp586 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 …]
/dports/math/mfem/mfem-4.3/fem/tmop/
H A Dtmop_pa_jp3.cpp34 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()
H A Dtmop_pa_h2m_c0.cpp36 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()
H A Dtmop_pa_p3.cpp119 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()
H A Dtmop_pa_h3m_c0.cpp35 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()
/dports/misc/visp/visp-3.4.0/tutorial/detection/dnn/
H A Dopencv_face_detector.pbtxt601 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"
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/dports/graphics/opencv/opencv-4.5.3/samples/dnn/face_detector/
H A Dopencv_face_detector.pbtxt601 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 …]
/dports/science/py-chainer/chainer-7.8.0/chainerx_cc/chainerx/routines/
H A Dstatistics.cc52 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()
/dports/misc/ncnn/ncnn-20211208/benchmark/
H A Dnanodet_m.param156 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
/dports/graphics/glx-utils/demos-5435fc7fbd332e171da9a71e33a9b190e9462cf0/src/tests/
H A Dmultiwindow.c100 static void Reshape( int width, int height ) in Reshape() function
150 glutReshapeFunc( Reshape ); in main()
161 glutReshapeFunc( Reshape ); in main()
/dports/graphics/mesa-demos/mesa-demos-8.4.0/src/tests/
H A Dmultiwindow.c100 static void Reshape( int width, int height ) in Reshape() function
150 glutReshapeFunc( Reshape ); in main()
161 glutReshapeFunc( Reshape ); in main()
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/capsnet/
H A Dcapsulelayers.py38 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))
/dports/misc/py-mxnet/incubator-mxnet-1.9.0/example/capsnet/
H A Dcapsulelayers.py38 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))
/dports/graphics/glx-utils/demos-5435fc7fbd332e171da9a71e33a9b190e9462cf0/src/trivial/
H A Dclear-undefined.c23 static void Reshape(int width, int height) in Reshape() function
131 Reshape(Width, Height); in main()
133 glutReshapeFunc(Reshape); in main()
/dports/textproc/opensearch-dashboards/opensearch-dashboards-1.2.0-linux-x64/plugins/observabilityDashboards/node_modules/@algolia/autocomplete-core/dist/esm/types/
H A DAutocompleteOptions.d.ts6 import { Reshape } from './AutocompleteReshape';
162 reshape?: Reshape<TItem>;
183 reshape: Reshape<TItem>;
/dports/graphics/mesa-demos/mesa-demos-8.4.0/src/trivial/
H A Dclear-undefined.c23 static void Reshape(int width, int height) in Reshape() function
131 Reshape(Width, Height); in main()
133 glutReshapeFunc(Reshape); in main()
/dports/graphics/vapoursynth-waifu2x-ncnn-vulkan/vapoursynth-waifu2x-ncnn-vulkan-r4/deps/ncnn/src/layer/
H A Dreshape.h22 class Reshape : public Layer
25 Reshape();
/dports/graphics/waifu2x-ncnn-vulkan/waifu2x-ncnn-vulkan-20210521/src/ncnn/src/layer/
H A Dreshape.h22 class Reshape : public Layer
25 Reshape();
/dports/benchmarks/vkpeak/vkpeak-20210430/ncnn/src/layer/
H A Dreshape.h22 class Reshape : public Layer
25 Reshape();
/dports/graphics/realsr-ncnn-vulkan/realsr-ncnn-vulkan-20210210/src/ncnn/src/layer/
H A Dreshape.h22 class Reshape : public Layer
25 Reshape();
/dports/misc/ncnn/ncnn-20211208/src/layer/
H A Dreshape.h22 class Reshape : public Layer
25 Reshape();
/dports/misc/mxnet/incubator-mxnet-1.9.0/example/rnn/word_lm/
H A Dmodel.py49 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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