vmul

Description

Multiplies two tensors element-wise.

Prototype

vmul(lhs, rhs)

Parameters

• lhs: a tvm.tensor for the left tensor
• rhs: a tvm.tensor for the right tensor
• The tensors must have the same data type and shape.

  Atlas 200/300/500 Inference Product: supports float16, float32, and int32.

  Atlas Training Series Product: supports float16, float32, int32, and int64.

Returns

res_tensor: a tvm.tensor for the result tensor

Restrictions

None

Applicability

Atlas 200/300/500 Inference Product

Atlas Training Series Product

Example

from tbe import tvm
from tbe import dsl
shape = (1024,1024)
input_dtype = "float16"
data1 = tvm.placeholder(shape, name="data1", dtype=input_dtype)
data2 = tvm.placeholder(shape, name="data2", dtype=input_dtype)
res = dsl.vmul(data1, data2)