I don't think install from source needs any system privileges, even
PYTHON_PATH, you can use export method to make it visible.
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You are receiving this because you enabled m
no, I mean in cmake.config, set llvm config and recompile libtvm.so from tvm
source code.
see
https://tvm.apache.org/docs/install/from_source.html#developers-get-source-from-github.
Install tvm from source, and export to PYTHON_PATH, and it will be visible to
conda env.
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Hi, have you solved it ? I would like to use some dynamic computed loop counts
inside te.compute and don't know how to do it, I guess it is the same issue as
yours. Looking forward to your feedback, thanks.
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Have you set llvm toolchain during the compilation of libtvm.so ?
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h
[quote="cron, post:1, topic:9083"]
side of `te.extern` is blocking any kind of optimization which leads from
introducing this stage into an
[/quote]
Hi, I am also trying to apply some schedule primitive methods on
tensor.ExternOp, but it seems not supported according to this post (3 years'
ag
May I ask, in this case, the only way to optimize the extern op is to do it by
hand (with tir intrinsics) right ? For example like topi.sparse.csrmm
implementation, no schedule configs could be associated with it.
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Actually I came to FCRC to understand Relay and TIR, I would be very
appreciated if you can help me with the questions in my other post
https://discuss.tvm.apache.org/t/tir-relay-why-tvm-tir-api-generates-relay-ir/9132
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Topic](https://discuss.tvm.apache.org/t/tutorial-fix-tvm-20
Hi I just started to learn TVM and noted that some code in FCRC workshop are
too old to run with lastest tvm (0.8_dev)
FCRC code lab link
[https://sampl.cs.washington.edu/tvmfcrc/]
So I put the fix here for any starters.
1. relay.Module not exist anymore
mod = tvm.IRModule({})
2. get p
The reason might be IRModule.astext() method will parse the Module in Relay IR
for better understanding, I guess. Which means astext() can parse IRModule back
to Relay IR. Correct me if I misunderstood, thanks.
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Hello, I am also struggling the tvm.transform.Sequential API usage,could you
please help me to understand the following code piece ?
# driver/build_module.py下面的_build_for_device函数
opt_mixed += [
tvm.tir.transform.ThreadSync("shared"),
tvm.tir.transform.ThreadSync
Hello, where is this tvm.build_config come from ? I am using tvm 0.8 dev but
this does not exist
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