ayeganov opened a new issue #9939:
URL: https://github.com/apache/tvm/issues/9939
I was following along the tutorial for converting the resnet 50 network
using `tvmc`, but hit a hard stop with the following message:
libc++abi: terminating with uncaught exception of type
tvm::runtime::InternalError
### Expected behavior
A tar file to be generated for running the network
### Actual behavior
Process gets aborted
### Environment
OS: MacOS Monterey 12.1, Darwin AY-M-D6ZQ 21.2.0 Darwin Kernel Version
21.2.0: Sun Nov 28 20:28:54 PST 2021; root:xnu-8019.61.5~1/RELEASE_X86_64 x86_64
TVM: 0.9.dev0
Graphics card: Intel(R) UHD Graphics 630, AMD Radeon Pro 555X
### Steps to reproduce
import numpy as np
import math
import os
import tvm
from tvm import relay, auto_scheduler
from tvm import testing
from tvm.contrib import utils, xcode, coreml_runtime, graph_runtime
target = "metal"
target_host = "llvm -mtriple=arm64-apple-darwin20.5.0"
def _get_model(shape, dtype, var_names):
"""Return a model and any parameters it may have."""
a = relay.var(next(var_names), shape=shape, dtype=dtype)
out = relay.op.reduce.mean(a, 0)
params = {}
return out, params
def converter(shape):
print("Shape: {}".format(shape))
dtype = "float32"
# b, data
inputs = {"data": tvm.nd.array(np.random.uniform(-128, 127,
shape).astype(dtype))}
mod, params = _get_model(shape, dtype, iter(inputs))
if isinstance(mod, tvm.relay.expr.Call):
mod = tvm.IRModule.from_expr(mod)
print('mod: ', mod)
with tvm.transform.PassContext(opt_level=3):
graph_module = relay.build(mod['main'], target=target,
target_host=target_host, params=params)
#with auto_scheduler.ApplyHistoryBest("my_mean_model_metal"):
# with tvm.transform.PassContext(opt_level=3,
config={"relay.backend.use_auto_scheduler": True}):
# graph_module = relay.build(mod['main'], target=target,
target_host=target_host, params=params)
return graph_module
def run(graph_module):
ctx = tvm.metal(0)
m =
graph_runtime.graph_executor.GraphModule(graph_module["default"](ctx))
m.run()
if __name__ == "__main__":
shape = (2, 1)
gm = converter(shape)
run(gm)
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