paddle.Tensor

A Tensor is a generalization of vectors and matrices and is easily understood as a multidimensional array. For more information, you can see Introduction to Tensor.

Data types

PaddlePaddle defines the following Tensor types:

Data type	dtype
32-bit floating point	`paddle.float32`
64-bit floating point	`paddle.float64`
16-bit floating point	`paddle.float16`
16-bit floating point	`paddle.bfloat16`
64-bit complex	`paddle.complex64`
128-bit complex	`paddle.complex128`
8-bit integer (unsigned)	`paddle.uint8`
8-bit integer (signed)	`paddle.int8`
16-bit integer (signed)	`paddle.int16`
32-bit integer (signed)	`paddle.int32`
64-bit integer (signed)	`paddle.int64`
Boolean	`paddle.bool`

Tensor class reference

Properties

`T`	The transpose of `Tensor`. See paddle.transpose .
`block`	Tensor’s block.
`dtype`	Tensor’s data type.
`grad`	The value of Tensor’s grad.
`inplace_version`	The inplace version of current Tensor.
`is_leaf`	Whether Tensor is leaf Tensor.
`name`	The name of Tensor.
`ndim`	The dimensions of Tensor.
`persistable`	The value of Tensor’s persistable.
`place`	The place of Tensor.
`shape`	The shape of Tensor. See paddle.shape .
`size`	The size of Tensor. See paddle.numel .
`stop_gradient`	The value of Tensor’s stop_gradient.
`type`	Tensor’s type.

Methods

`chunk`	Simple class to read IFF chunks.
`numpy`	NumPy
`trace`	program/module to trace Python program or function execution