Forums - TF to DLC gives ERROR_TF_LAYER_NO_INPUT_FOUND

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TF to DLC gives ERROR_TF_LAYER_NO_INPUT_FOUND
carlos1
Join Date: 16 Mar 20
Posts: 5
Posted: Fri, 2020-05-01 09:19
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I'm trying to convert yolov3 lite from tensorflow to dlc format and I get the following error:

ERROR - Conversion failed: build_layer failed with Exception ERROR_TF_LAYER_NO_INPUT_FOUND: Tile layer detector/yolo-v3-tiny/Tile_1 requires at least one input layer. in layer TileLayerBuilder

The frozen graph can be downloaded from:  https://ha-embedded-team-public.s3.eu-west-2.amazonaws.com/models/frozen_darknet_yolov3_tiny_model.pb

And the command line for converting the mode is:

$> snpe-tensorflow-to-dlc --input_network frozen_darknet_yolov3_tiny_model.pb --input_dim inputs "1,416,416,3"  --out_node "output_boxes"  --output_path "yolov3_tiny.dlc" --debug

As you can see in the following image, the input is defined "inside" the layer: https://ha-embedded-team-public.s3.eu-west-2.amazonaws.com/misc/yolov3-to-dlc-error.png

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Re: TF to DLC gives ERROR_TF_LAYER_NO_INPUT_FOUND
carlos1
Join Date: 16 Mar 20
Posts: 5
Posted: Tue, 2020-06-02 09:22
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I found a solution for the problem and the case you face a similar problem, you have 2 options:

  • * Patch snpe python code (lib/python/snpe/...) to support layers "without" inputs (inputs defined "inside" the layer). This is hard but not impossible (this was my first solution).
  • * Redefine your original model to avoid these "special" layers. This is easier and after understanding what was the problem I rewrote my model to avoid the problematic configuration.
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