vdiv

Description

Divides one tensor by another element-wise.

Prototype

vdiv(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 training product: supports float16 and float32.

  Atlas inference product: supports float16 and float32.

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

  Atlas A2 training product/Atlas A2 inference product: supports float16, float32, complex32, and complex64

  Atlas A3 training product/Atlas A3 inference product: supports float16, float32, complex32, and complex64

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"
data1 = tvm.placeholder(shape, name="data1", dtype=input_dtype)
data2 = tvm.placeholder(shape, name="data2", dtype=input_dtype)
res = dsl.vdiv(data1, data2)