Error in Infer

[Yatish_M_Intel]

Hello Everyone

I am trying to convert frozen tensoflow model to IR and getting following error

Cannot infer shapes or values for node "detector/yolo-v3/strided_slice".

strided_slice node is created in tensorflow by the line

inputs = inputs[:, 2:-2, 2:-2, :]

What am i missing ?

Thanks

Yatish

[Monique_J_Intel]

Hi Yatish,

If the input dimensions are in that format MO cannot interpret them for that node. Can you send the full log of the error from MO?

Kind Regards,

Monique Jones

[Yatish_M_Intel]

Hi Monique

I have attached a logfile with the comment. Thanks for looking into it.

Best Regards

Yatish

[Yatish_M_Intel]

After modifying my tensorflow model to folowing

test = inputs.shape

# trim back to desired size
inputs = inputs[:, 2:test[1]-2, 2:test[2]-2, :]

i moved forward with the conversion, but it still failed with following error message

[ 2018-07-09 12:49:46,680 ] [ ERROR ] [ main:230 ]  -------------------------------------------------
[ 2018-07-09 12:49:46,680 ] [ ERROR ] [ main:231 ]  ----------------- INTERNAL ERROR ----------------
[ 2018-07-09 12:49:46,680 ] [ ERROR ] [ main:232 ]  Unexpected exception happened.
[ 2018-07-09 12:49:46,680 ] [ ERROR ] [ main:233 ]  Please contact Model Optimizer developers and forward the following information:
[ 2018-07-09 12:49:46,680 ] [ ERROR ] [ main:234 ]  The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
[ 2018-07-09 12:49:46,680 ] [ ERROR ] [ main:235 ]  Traceback (most recent call last):
  File "/opt/intel/computer_vision_sdk_fpga_2018.1.267/deployment_tools/model_optimizer/mo/main.py", line 222, in main
    return driver(argv)
  File "/opt/intel/computer_vision_sdk_fpga_2018.1.267/deployment_tools/model_optimizer/mo/main.py", line 190, in driver
    mean_scale_values=mean_scale)
  File "/opt/intel/computer_vision_sdk_fpga_2018.1.267/deployment_tools/model_optimizer/mo/pipeline/tf.py", line 182, in tf2nx
    fuse_mul_add_sequence(graph)
  File "/opt/intel/computer_vision_sdk_fpga_2018.1.267/deployment_tools/model_optimizer/mo/middle/passes/fusing.py", line 452, in fuse_mul_add_sequence
    is_fused = fuse_linear_sequence(graph, node)
  File "/opt/intel/computer_vision_sdk_fpga_2018.1.267/deployment_tools/model_optimizer/mo/middle/passes/fusing.py", line 405, in fuse_linear_sequence
    if any([x != 0 for x in add]) and any([x != 1 for x in mul]):
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

I have attached logfile with the comment.

Thanks

Yatish