dot

paddle. dot ( x, y, name=None ) [source]

This operator calculates inner product for vectors.

Note

Support 1-d and 2-d Tensor. When it is 2d, the first dimension of this matrix is the batch dimension, which means that the vectors of multiple batches are dotted.

Parameters

  • x (Tensor) – 1-D or 2-D Tensor. Its dtype should be float32, float64, int32, int64

  • y (Tensor) – 1-D or 2-D Tensor. Its dtype soulde be float32, float64, int32, int64

  • name (str, optional) – Name of the output. Default is None. It’s used to print debug info for developers. Details: Name

Returns

the calculated result Tensor.

Return type

Tensor

Examples:

import paddle
import numpy as np

x_data = np.random.uniform(0.1, 1, [10]).astype(np.float32)
y_data = np.random.uniform(1, 3, [10]).astype(np.float32)
x = paddle.to_tensor(x_data)
y = paddle.to_tensor(y_data)
z = paddle.dot(x, y)
print(z)