Help Center/ Atlas 300 Application (Model 3000)/ TE API Reference/ Compute APIs/ te.lang.cce.vrelu(raw_tensor)
Updated on 2022-03-13 GMT+08:00
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te.lang.cce.vrelu(raw_tensor)

Performs the ReLU operation each element in a tensor. The supported type is float16. The data types int8, uint8, int32, and float32 are converted to float16.

This API is defined in elewise_compute.py.

Parameter Description

raw_tensor: input tensor, tvm.tensor type

Return Value

res_tensor: relu(raw_tensor), tvm.tensor type

Calling Example

shape = (1024,1024)
input_dtype = "float16"
data = tvm.placeholder(shape, name="data", dtype=input_dtype)
res = te.lang.cce.vrelu(data)
Parent topic: Compute APIs