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Searched refs:depth_dim (Results 1 – 5 of 5) sorted by relevance

/external/tensorflow/tensorflow/core/kernels/
Deigen_softmax.h49 Eigen::array<typename internal::traits<Input>::Index, 1> depth_dim; in eval() local
50 depth_dim[0] = 0; in eval()
60 Eigen::IndexList<Eigen::type2index<0> > depth_dim; in eval()
71 input.maximum(depth_dim).eval().reshape(dims2d).broadcast(bcast)) * in eval()
76 (output.sum(depth_dim).eval().reshape(dims2d).broadcast(bcast)); in eval()
Deigen_softmax_test.cc38 Eigen::array<int, 1> depth_dim; in TEST() local
39 depth_dim[0] = 0; in TEST()
48 input.maximum(depth_dim).eval().reshape(dims2d).broadcast(bcast)) * in TEST()
53 (reference.sum(depth_dim).eval().reshape(dims2d).broadcast(bcast)); in TEST()
/external/eigen/unsupported/test/
Dcxx11_tensor_forced_eval.cpp56 Eigen::array<int, 1> depth_dim; in test_const() local
57 depth_dim[0] = 0; in test_const()
65 …Tensor<float, 2> output_tensor= (input_tensor - input_tensor.maximum(depth_dim).eval().reshape(dim… in test_const()
/external/eigen/unsupported/Eigen/CXX11/src/Tensor/
DREADME.md321 Tensor<...> Y = ((X - X.maximum(depth_dim).reshape(dims2d).broadcast(bcast))
329 ((X - X.maximum(depth_dim).eval().reshape(dims2d).broadcast(bcast))
338 Y = Y / (Y.sum(depth_dim).reshape(dims2d).broadcast(bcast));
344 Y = Y / (Y.sum(depth_dim).eval().reshape(dims2d).broadcast(bcast));
355 (Y / (Y.sum(depth_dim).eval().reshape(dims2d).broadcast(bcast))).eval();
/external/tensorflow/tensorflow/core/framework/
Dcommon_shape_fns.cc765 DimensionHandle depth_dim = c->Dim( in AvgPoolShape() local
783 {output_rows, output_cols}, depth_dim, in AvgPoolShape()