Comments (2)
usage:
tests <DIRECTORY>
examples:
tests ./tests/model
tests ./tests/node
tests ./tests/pytorch-converted
tests ./tests/pytorch-operator
tests ./tests/simple
~/libonnx/libonnx$ ./tests/tests ./tests/model
[mnist_8](test_data_set_0) [OKAY]
[mnist_8](test_data_set_1) [OKAY]
[mnist_8](test_data_set_2) [OKAY]
[mobilenet_v2_7](test_data_set_0) [OKAY]
[mobilenet_v2_7](test_data_set_1) [OKAY]
[mobilenet_v2_7](test_data_set_2) [OKAY]
[shufflenet_v1_9](test_data_set_0) [OKAY]
[shufflenet_v1_9](test_data_set_1) [OKAY]
[shufflenet_v1_9](test_data_set_2) [OKAY]
[squeezenet_v11_7](test_data_set_0) [OKAY]
[squeezenet_v11_7](test_data_set_1) [OKAY]
[squeezenet_v11_7](test_data_set_2) [OKAY]
[super_resolution_10](test_data_set_0) [OKAY]
[tinyyolo_v2_8](test_data_set_0) [OKAY]
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Update:
Running./libonnx/tests/tests ./libonnx/tests/model/$(wildcard *)
will give the required output:wildcard: command not found [mnist_8](test_data_set_0) [OKAY] [mnist_8](test_data_set_1) [OKAY] [mnist_8](test_data_set_2) [OKAY] [mobilenet_v2_7](test_data_set_0) [OKAY] [mobilenet_v2_7](test_data_set_1) [OKAY] [mobilenet_v2_7](test_data_set_2) [OKAY] [shufflenet_v1_9](test_data_set_0) [OKAY] [shufflenet_v1_9](test_data_set_1) [OKAY] [shufflenet_v1_9](test_data_set_2) [OKAY] [squeezenet_v11_7](test_data_set_0) [OKAY] [squeezenet_v11_7](test_data_set_1) [OKAY] [squeezenet_v11_7](test_data_set_2) [OKAY] [super_resolution_10](test_data_set_0) [OKAY] [tinyyolo_v2_8](test_data_set_0) [OKAY] [tinyyolo_v2_8](test_data_set_1) [OKAY] [tinyyolo_v2_8](test_data_set_2) [OKAY]
Why is this so?
Can you explain?
Little did I realise that wildcard
was a make
function and not a bash
function.
from libonnx.
Related Issues (20)
- 可以参考下ONNC怎么做的
- Tensorflow model with opset 12 seems to crash when loaded HOT 5
- Question: Does libonnx support dynamic shape/CUDA ? HOT 4
- Which header files are necessary? HOT 2
- How to convert a `onnx_context` to a `unsigned char array` as in the hello world example? HOT 3
- Failed to load 'yolov5n.onnx'. HOT 2
- Maxpool + dilation
- Inference on GPU HOT 4
- Support GRU? HOT 1
- Valgrind output for Yolo v2 model HOT 1
- Unsupported opset => Gather-11 (ai.onnx) HOT 2
- Python bindings HOT 9
- Support ORT (flatbuffers) models
- Should Conv nodes be optimized using FFT?
- Implement Fourier transform nodes
- Evaluate if it makes sense to utilize NNPack
- 请问在哪里看opset_version和对应版本所支持的算子列表?
- compile failed , report the error which macro undefined HOT 1
- Fail to compile on macOs
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