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Hello!
I'm working in Ubuntu and using Python API
I'm trying to run LSTM model in Neural Compute Stick 2.
This is my model summary(model is nonfrozen):
Model: "model_2"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
input_1 (InputLayer) (None, 5, 2048) 0
_________________________________________________________________
lstm_1 (LSTM) (None, 256) 2360320
_________________________________________________________________
dense_1 (Dense) (None, 2) 514
=================================================================
Total params: 2,360,834
Trainable params: 2,360,834
Non-trainable params: 0
When i make model optimization I have success
sudo python3 mo_tf.py --input_meta_graph /home/vladislav/tf_model_rnn_2019.09.10/rnn_model.meta --data_type FP16 --output dense_1/Softmax --output_dir /home/vladislav/MIRIAD/ANOTHER/ --input input_1 --input_shape [1,5,2048]
[ SUCCESS ] Generated IR model.
[ SUCCESS ] XML file: /home/vladislav/MIRIAD/ANOTHER/rnn_model.xml
[ SUCCESS ] BIN file: /home/vladislav/MIRIAD/ANOTHER/rnn_model.bin
[ SUCCESS ] Total execution time: 2.89 seconds.
Then i'm working with Python API
from openvino.inference_engine import IECore, IEPlugin, IENetwork
path_to_xml_file_rnn = '/home/vladislav/MIRIAD/ANOTHER/rnn_model.xml'
path_to_bin_file_rnn = '/home/vladislav/MIRIAD/ANOTHER/rnn_model.bin'
plugin = IEPlugin(device='MYRIAD')
net_rnn = IENetwork(model=path_to_xml_file_rnn, weights=path_to_bin_file_rnn)
exec_net_rnn = plugin.load(network = net_rnn)
i have this error in last line:
RuntimeError Traceback (most recent call last)
<ipython-input-74-843eb4157227> in <module>
5 #rnn
6 net_rnn = IENetwork(model=path_to_xml_file_rnn, weights=path_to_bin_file_rnn)
----> 7 exec_net_rnn = plugin.load(network = net_rnn)
ie_api.pyx in openvino.inference_engine.ie_api.IEPlugin.load()
ie_api.pyx in openvino.inference_engine.ie_api.IEPlugin.load()
RuntimeError: AssertionFailed: !ieDims.empty()
How i can solve this problem?
Thank You!
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Dear klekovkin, vladislav,
That does look like a very simple LSTM model. Without digging deeper (possible if you attach your model as a *.zip to this ticket) it's hard to say what went wrong.
One question - are you using the latest and greatest OpenVino 2019R2.01 ? If not, can you install it and try again ?
Thanks,
Shubha
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Dear klekovkin, vladislav,
I have reproduced this error. I have submitted a bug on your behalf. I will let you know the results as soon as I learn of them. Thanks for your cooperation !
Shubha
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Hello,
I meet a similar error.I use mo.py convert ssd_mobilenet_v2_coco_2018_03_29 tensorflow model to ir model.
Then i write a simple py file with the ir model. The error is same with "RuntimeError: AssertionFailed: !ieDims.empty()".
Soft version is linux:ubuntu 16,openvino:R2.01.
Please give some suggestion for this question,thxs.
--------
Traceback (most recent call last):
File "ssd_mobilenet_v2.py", line 29, in <module>
exec_net = ie.load_network(network=net, device_name="MYRIAD")
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: AssertionFailed: !ieDims.empty()
Error on or near line 238; exiting with status 1
-----
import cv2
import numpy as np
from openvino.inference_engine import IENetwork, IECore
model_xml = "~/ssd_mobilenet_v2_coco_2018_03_29/ssd_mobilenet_v2.xml"
model_bin = "~/ssd_mobilenet_v2_coco/tf/ssd_mobilenet_v2_coco_2018_03_29/ssd_mobilenet_v2.bin"
ie = IECore()
net = IENetwork(model=model_xml, weights=model_bin)
input_blob = next(iter(net.inputs))
output_blob = next(iter(net.outputs))
net.batch_size = 1
print(net.outputs['DetectionOutput'].shape)
n, c, h, w = net.inputs[input_blob].shape
print(n, c, h, w)
image = cv2.imread("road.bmp")
img = cv2.resize(image, (w,h))
img = img.transpose((2, 0, 1)) # Change data layout from HWC to CHW
exec_net = ie.load_network(network=net, device_name="MYRIAD")
res = exec_net.infer(inputs={input_blob: np.reshape(img, [n,c,w,h])})
print(res)
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Same problem here with Myriad and LSTM
failed: Failed to compile layer lstm/while/LoopCond/TensorIteratorCondition_/TensorIterator : AssertionFailed: !ieDims.empty()
UPDATE check this post for a solution
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