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Hi,
I am trying to get GNMT running on a CPU with OpenVINO.
I followed the instructions in the below link exactly:
However, when I run the following command:
python3 benchmark_app.py -i test.txt -m frozen_GNMT_inference_graph.xml -d CPU
I see this error:
[ ERROR ] Unsupported primitive of type: Unsqueeze name: dynamic_seq2seq/decoder/tile_batch_1/ExpandDims
Traceback (most recent call last):
File "/opt/intel/openvino_2019.3.376/deployment_tools/tools/benchmark_tool/benchmark_app.py", line 82, in main
exe_network = benchmark.load_network(ie_network, perf_counts, args.number_infer_requests)
File "/opt/intel/openvino_2019.3.376/python/python3.6/openvino/tools/benchmark/benchmark.py", line 127, in load_network
num_requests=number_infer_requests or 0)
File "ie_api.pyx", line 85, in openvino.inference_engine.ie_api.IECore.load_network
File "ie_api.pyx", line 92, in openvino.inference_engine.ie_api.IECore.load_network
RuntimeError: Unsupported primitive of type: Unsqueeze name: dynamic_seq2seq/decoder/tile_batch_1/ExpandDims
Please could I get help with this.
Also, when I want to run GNMT using the Python API, is there a sample as to how to generate the 'input_data_tensor' and 'seq_lengths' fields for the following piece of code:
# Creating input data
input_data = {'IteratorGetNext/placeholder_out_port_0': input_data_tensor,
'IteratorGetNext/placeholder_out_port_1': seq_lengths}
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Hi, Admin,
I tried the GNMT model from the github and reduplicate your error, I am checking with the develop team to know where the issue is, will update you later.
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Thanks for taking a look into this issue. Looking forward to your findings.
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Hi,
Please could you give out an update on the status of this issue.
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