I run it on linux, a "segmentation fault" error occurs.Debug Info:
```
(gdb)bt
#0 std::basic_string,
std::allocator>::basic_string(std::string const&)() from
/lib64/libstdc++.so.6
#1 tvm::runtime:GraphRuntime::SetupStorage() from /tvm/build/libtvm.so
#2 tvm::runtime:GraphRuntime::Init(std:: str
I check my machine, the memory is 8G and the usage rate is 80%. And sometimes
it works.
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I recently spent two weeks debugging in the Windwos environment and found some
problems about AutoTVM.
My env: windows10 intel-CPU ; TVM 0.7dev; python 3.6; LLVM 9.0;
1.On windows, 0.0.0.0 is a non-routable meta-address used to designate an
invalid, unknown, or non-applicable target (a ‘no pa
I load a very large model
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An error occurred when I run the code
"tvm.contrib.graph_runtime.create(graph,lib,ctx)" .But when I run it again, it
working. Every time I run it for the first time, I get an error.
latest tvm version
windows and cpu
error info:
```
x
module = tvm.contrib.graph_runtime.create(
it’s working. I don't change key form ''silent' to 'verbosity'. :joy:
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I change to verbosity=0 ,but but there is the warning
```
Parameters: { silent } might not be used.
This may not be accurate due to some parameters are only used in language
bindings but
passed down to XGBoost core. Or some parameters are not used but slip
through this
verification. Pl
Thanks! I set the environment variable and solved it.
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Could you please solve it? I have the same problem.
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Thank you. Looking forward to it.
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Are you looking at this？
@kevinthesun
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I’m facing the same error.
```
unable to unify: 'static_tensor_float32_320_320_3_t' and
''static_tensor_float32_scalar_t';
unable to unify: 'static_tensor_int32_3_t' and ''static_tensor_int32_scalar_t';
```
model: [ssd_mobilenet_v3
(Similar to
http://download.tensorflow.org/models/object_d
I use "cv::dnn::blobFromImage", show error "cv::dnn has not been declared". How
do I solve？
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After writing c++ code, how do I write the makefile and then compile the.cpp
code？ Is there a demo like the c++ code above?
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My model is in the Intranet and cannot be taken out.Any good Suggestions and
methods to check errors?
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I find the 'while/GatherV2' is the input of 'NextIteration',It will continue to
be passed in the 'while_loop‘.
```
name: "while/NextIteration_26"
op: "NextIteration"
input: "while/GatherV2"
...
name: "while/Merge_26"
op: "Merge"
input: "while/Enter_26"
input: "while/NextIteration_26"
..
I try to transform the NLP model using from_tensorflow, then get an error.
```
..
%1817 = add(%35, %1816);
%1818 = reshape(%1817, newshape(-1,[28500]))
%1819 = topk(%1818, k=3, dtype='int32')
%1820 = %1819.1
%1821 = cast(%1820, dtype='float64')
%1822 = cast(9500, dtype='float64')
%1823 = divi
https://github.com/apache/incubator-tvm/issues/5172
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Have you solved the problem?I have a similar error.
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I use relay.frontend.from_tensorflow,the following error occurred:
```
File "tvm/python/tvm/relay/frontend/tensorflow.py", in from_tensorflow
mod, params = g.from_tensorflow(graph, layout, shape, outputs)
File "tvm/python/tvm/relay/frontend/tensorflow.py", in from_tensorflow
for
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