mindspore.ops.ldexp
- mindspore.ops.ldexp(x, other)[source]
Multiplies input Tensor by \(2^{other}\) element-wise.
It takes two arguments, a mantissa x and an exponent other, and returns their product as a floating-point number:
\[out_{i} = x_{i} * ( 2 ^{other_{i}} )\]Note
This function is commonly used to construct floating-point numbers from their component parts, or to scale a floating-point number by a power of two.
- Parameters
- Returns
Tensor, the output Tensor.
- Raises
TypeError – If x is not a Tensor.
TypeError – If other is not a Tensor.
ValueError – If shape of x and other can not broadcast.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore >>> import numpy as np >>> from mindspore import Tensor >>> from mindspore import ops >>> x = Tensor(np.array([1.]), mindspore.float32) >>> other = Tensor(np.array([1, 2, 3, 4]), mindspore.int32) >>> out = ops.ldexp(x, other) >>> print(out) [ 2. 4. 8. 16.] >>> x = Tensor(np.array([[1.], [2]]), mindspore.float32) >>> other = Tensor(np.array([[1.], [2]]), mindspore.int32) >>> out = ops.ldexp(x, other) >>> print(out) [[2.] [8.]]