I just write a matrix multiplication computation, and here is my code, it is
easy
A = te.placeholder((49, 576))
B = te.placeholder((64, 576))
D = topi.nn.pad(A, (0, 0), (15, 0))
k = te.reduce_axis((0, 576))
C = te.compute(
(64, 64),
lambda i, j: te.sum(
Hey I just try to lower resnet18 of mxnet to target="c", I got the c code now,
but it can not run on gcc, because it does not have the funciton "main".
I got plenty of computational functions in the c code, but there is not a
function "main" to call them. I am wondering how to generate the bac
sorry, i may forget how i solve the problem
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I am wandering what does this error mean?
`Check failed: arg->scope == value->scope: Argument local.in_buffer Buffer bind
scope mismatch`
Here I code a matrix multiplication and I want to intrisic to tensorize, as the
code follows:
data = tvm.te.placeholder((64, 64), dtype="int8", name="
I see, the bug is fixed, thanks!
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where to set elem_offset?
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hello! I am trying to use tensorize on my declared conv2d operator. here is my
code.import numpy as np
> import tvm
> from tvm import te
> from tvm import autotvm
> from tvm import topi
> from zte.enviroment import get_env
> from zte.intrin import gemm
>
> data
