Thanks! We have not tried such ops before, this case seems interesting.
I'll try your code and figure out where the possible bug occurs.
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to respond.
You are receiving this because you enabled mai
To use native libraries, you have to pass them to the libs flag like so: `llvm
-libs=mkdnn`. Also make sure you have set `USE_MKLDNN=On` in build/config.cmake.
Right now we only support using mkldnn for matrix multiplication.
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Hi,
Why all the compile examples (i.e. from_keras, from_pytroch) use image as input
for CNN models ?
Is there any example which uses normal data like (population, house price)
NN/LSTM?
Thanks in advance.
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Hi,
I have written very simple Keras Neural Network
from numpy import loadtxt
from keras.models import Sequential
from keras.layers import Dense
# load the dataset
dataset = loadtxt('pima-indians-diabetes.csv', delimiter=',')
# split into input (X) and output (y) v
Hi @junrushao1994,
Thanks for your reply! Can you point me to some examples?
I am looking to integrate at operator level (and not at relay level). Is the
snippet I wrote similar to a real implementation?
Thanks again
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prefetch is not supported in most GPUs. Most cases cache prefetching happens
automatically and you can use cache_read to get the data into shared meory, see
examples in
https://tvm.apache.org/docs/tutorials/optimize/opt_conv_cuda.html#sphx-glr-tutorials-optimize-opt-conv-cuda-py
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