本文介绍了如何在C ++中填充张量的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我这样创建一个张量:

tensorflow::Tensor a(tensorflow::DT_FLOAT, tensorflow::TensorShape());

我知道如何填充标量值:

I know how to fill a scalar value:

a.scalar<float>()() = 8.0;

但我不知道如何填充像[1,4,2]的张量。 / p>

But I don't know how to fill a tensor like [1, 4, 2].

推荐答案

有几个选项。如果张量真的是一个小向量,就像你的情况,你可以做以下:

There are a few options. If the tensor is really a small vector, like in your case, you can do the following :

tensorflow::Tensor a(tensorflow::DT_FLOAT, tensorflow::TensorShape(3));
a.vec<float>()(0) = 1.0f;
a.vec<float>()(1) = 4.0f;
a.vec<float>()(2) = 2.0f;

如果要构造稍大和/或多维张量,在 tensorflow / cc / framework / ops.h 中声明的c> tensorflow :: ops :: Input :: Initializer 有许多构造函数, a Tensor 来自各种C ++常量,例如简单的基本常量和表示多维数组的嵌套初始化列表。

If you want to construct a slightly larger and/or multi-dimensional tensor, then tensorflow::ops::Input::Initializer declared in tensorflow/cc/framework/ops.h has many constructors that lets you construct a Tensor from various kinds of C++ constants such as simple primitive constants and nested initializer lists representing a multi-dimensional array.

例如,如果您想构造一个 2x2 矩阵,您可以执行以下操作:

For example, if you want to construct a 2x2 matrix, you can do the following :

#include "tensorflow/cc/framework/cc/ops.h"

tensorflow::ops::Input::Initializer a({{1, 2}, {3, 4}});
// a.tensor will be a Tensor with type DT_INT32 and shape {2, 2}.

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10-14 05:44