| /external/webrtc/webrtc/modules/video_processing/test/ |
| H A D | readYUV420file.m | 32 Y(:,:,k)=uint8(reshape(X(1:nPx), width, height).');
35 U(:,:,k)=uint8(reshape(X(nPx + (1:nPx/4)), width/2, height/2).');
38 V(:,:,k)=uint8(reshape(X(nPx + nPx/4 + (1:nPx/4)), width/2, height/2).');
|
| /external/clang/test/Analysis/ |
| H A D | malloc-interprocedural.c | 77 static char *reshape(char *in) { function
83 v = reshape(v);
84 v = reshape(v);// expected-warning {{Potential leak of memory pointed to by 'v'}}
|
| /external/autotest/client/cros/audio/ |
| H A D | audio_data.py | 98 np_array = np_array.reshape(n_frames, self.channel)
|
| /external/webrtc/talk/app/webrtc/objc/ |
| H A D | RTCNSGLVideoView.m | 70 - (void)reshape {
71 [super reshape];
|
| /external/webrtc/webrtc/api/objc/ |
| H A D | RTCNSGLVideoView.m | 53 - (void)reshape {
54 [super reshape];
|
| /external/eigen/unsupported/test/ |
| H A D | cxx11_tensor_morphing.cpp | 27 tensor2 = tensor1.reshape(dim1);
29 tensor3 = tensor1.reshape(dim2);
31 tensor4 = tensor1.reshape(dim1).reshape(dim3);
59 tensor3 = tensor1.reshape(newDims1).contract(tensor2.reshape(newDims2), contract_along);
77 tensor2d.reshape(dim) = tensor;
81 tensor5d.reshape(dim).device(Eigen::DefaultDevice()) = tensor;
160 Tensor<float, 1, DataLayout> tensor6 = tensor4.reshape(DSizes<ptrdiff_t, 1>(7*7)).exp().slice(DSizes<ptrdiff_t, 1>(0), DSizes<ptrdiff_t, 1>(35));
450 matrix.slice(DSizes<ptrdiff_t, 2>(2, 0), DSizes<ptrdiff_t, 2>(1, 11)).reshape(newDim
[all...] |
| H A D | cxx11_tensor_concatenation.cpp | 50 .reshape(Tensor<int, 3>::Dimensions(2, 3, 1))
53 .concatenate(right.reshape(Tensor<int, 2>::Dimensions{{{2, 3}}}), 0);
|
| H A D | cxx11_tensor_forced_eval.cpp | 65 Tensor<float, 2> output_tensor= (input_tensor - input_tensor.maximum(depth_dim).eval().reshape(dims2d).broadcast(bcast));
|
| H A D | cxx11_tensor_padding.cpp | 68 result = tensor.pad(paddings).reshape(reshape_dims);
|
| /external/autotest/client/cros/multimedia/ |
| H A D | display_facade_native.py | 355 data = numpy.fliplr(data.reshape(-1, 3)).reshape(data.shape)
|
| /external/fio/tools/hist/ |
| H A D | fiologparser_hist.py | 96 times = times.reshape((len(times),1))
313 arr = np.append(arr, new_arr.reshape((1,__TOTAL_COLUMNS - 1)), axis=0)
|
| /external/toolchain-utils/cros_utils/ |
| H A D | stats.py | 2055 sum = N.reshape(sum, shp)
2068 mult = N.reshape(mult, shp)
2095 s = N.reshape(s, shp)
2109 s = N.reshape([s], N.ones(len(inarray.shape)))
2121 s = N.reshape(s, shp)
2149 sum = N.reshape(sum, shp)
2162 sum = N.reshape(sum, shp)
3396 probs = N.reshape(probs, t.shape)
3486 probs = N.reshape(probs, t.shape)
4189 s = N.reshape(
[all...] |
| H A D | pstat.py | 961 return N.reshape(work, ashape)
|
| /external/eigen/unsupported/Eigen/CXX11/src/Tensor/ |
| H A D | TensorBase.h | 738 reshape(const NewDimensions& newDimensions) const { function in class:Eigen::TensorBase
907 reshape(const NewDimensions& newDimensions) const { function in class:Eigen::TensorBase
912 reshape(const NewDimensions& newDimensions) { function in class:Eigen::TensorBase
|
| /external/opencv/cvaux/include/ |
| H A D | cvmat.hpp | 544 void reshape( int newcn, int newrows = 0 );
1303 inline void CvMAT::reshape( int newcn, int newrows )
|