From 90172cdf0049b7ba6c482b86c1a0739cd880e739 Mon Sep 17 00:00:00 2001 From: Xin Pan Date: Mon, 15 Oct 2018 10:17:58 +0800 Subject: [PATCH] Update pybind.cc test=develop --- paddle/fluid/pybind/pybind.cc | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/paddle/fluid/pybind/pybind.cc b/paddle/fluid/pybind/pybind.cc index 29c9e37473..f6fe83e2bd 100644 --- a/paddle/fluid/pybind/pybind.cc +++ b/paddle/fluid/pybind/pybind.cc @@ -169,14 +169,14 @@ PYBIND11_PLUGIN(core) { A LoDTensor X can look like the example below. It contains 2 sequences. The first has length 2 and the second has length 3, as described by x.lod. - The first tensor dimension 6=2+3 is calculated from LoD if it's available. + The first tensor dimension 5=2+3 is calculated from LoD if it's available. It means the total number of sequence element. In X, each element has 2 - columns, hence [6, 2]. + columns, hence [5, 2]. x.lod = [[2, 3]] x.data = [[1, 2], [3, 4], - [5, 6], [7, 8], [9, 10], [11, 12]] - x.shape = [6, 2] + [5, 6], [7, 8], [9, 10]] + x.shape = [5, 2] LoD can have multiple levels (for example, a paragraph can have multiple sentences and a sentence can have multiple words). In the following -- GitLab