I have the same problems too, how to solve it ?
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You are receiving this because you enabled mai
In addition, I experimented, but if I set the shape of the input and the param
as follows, it works normally.
## Setting Shape of Tensor
input_size = (1,3,224,224)
p1_size = (64,3,3,3)
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I'm working on tensorizing kernels that does not have their input sizes
divisible by the dimension of the tensor intrinsic. An example of this
situation would be a 30x30x30 GEMM with a 16x16x16 tensor intrinsic. This
currently would result in the following lowered IR before tensorization and
Hello!
Currently, I am testing a simple convolution using TOPI.
I experimented with the code below.
import numpy as np
import topi
from tvm import relay
from tvm.relay import testing
import tvm
from tvm.contrib import graph_runtime
## Setting Target and ctx
targ
