vmaxs

Description

Compares a raw_tensor with a scalar element-wise and returns the max elements.

Prototype

vmaxs(raw_tensor, scalar)

Parameters

• raw_tensor: a tvm.tensor for the input tensor
• scalar: a scalar for the coefficient to be compared with raw_tensor element-wise
• In case of data type inconsistency, the scalar will be converted into the same data type as the raw_tensor during computation.

  Atlas training product: supports float16, float32, and int32.

  Atlas inference product: supports float16, int16, float32, and int32.

  Atlas 200I/500 A2 inference product: supports float16, float32, and int32.

  Atlas A2 training product/Atlas A2 inference product: supports float16, float32, and int32.

  Atlas A3 training product/Atlas A3 inference product: supports float16, float32, and int32.

Returns

res_tensor: a tvm.tensor for the result tensor

Restrictions

None

Applicability

Atlas training product

Atlas inference product

Atlas 200I/500 A2 inference product

Atlas A2 training product/Atlas A2 inference product

Atlas A3 training product/Atlas A3 inference product

Example

from tbe import tvm
from tbe import dsl
shape = (1024,1024)
input_dtype = "float16"
data = tvm.placeholder(shape, name="data", dtype=input_dtype)
scalar = tvm.const(2, dtype =input_dtype)
res = dsl.vmaxs(data, scalar)