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run_pretrained_models.yaml
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#
# simple models for basic functional test
#
benchtf-fc:
model: tests/models/fc-layers/frozen.pb
input_get: get_ramp
inputs:
"X:0": [1, 784]
outputs:
- output:0
benchtf-fc:
model: tests/models/fc-layers/frozen.pb
input_get: get_ramp
inputs:
"X:0": [1, 784]
outputs:
- output:0
benchtf-conv:
model: tests/models/conv-layers/frozen.pb
input_get: get_ramp
inputs:
"X:0": [1, 784]
outputs:
- output:0
benchtf-ae0:
model: tests/models/ae0/frozen.pb
input_get: get_ramp
inputs:
"X:0": [1, 784]
outputs:
- output:0
benchtf-lstm:
disabled: true
model: tests/models/lstm/frozen.pb
input_get: get_ramp
inputs:
"X:0": [1, 784]
outputs:
- output:0
benchtf-gru:
disabled: true
model: tests/models/gru/frozen.pb
input_get: get_ramp
inputs:
"X:0": [1, 784]
"keep_prob:0": [1]
outputs:
- output:0
##
## standard image nets
##
inception_v3_slim:
url: https://storage.googleapis.com/download.tensorflow.org/models/inception_v3_2016_08_28_frozen.pb.tar.gz
model: inception_v3_2016_08_28_frozen.pb
input_get: get_beach
inputs:
"input:0": [1, 299, 299, 3]
outputs:
- InceptionV3/Predictions/Softmax:0
rtol: 0.02
atol: 0.000001
googlenet_v1_nonslim:
# LRN op missing
disabled: true
url: https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip
model: tensorflow_inception_graph.pb
input_get: get_beach
inputs:
"input:0": [1, 224, 224, 3]
outputs:
- softmax2:0
googlenet_resnet_v2:
url: https://storage.googleapis.com/download.tensorflow.org/models/inception_resnet_v2_2016_08_30_frozen.pb.tar.gz
model: inception_resnet_v2_2016_08_30_frozen.pb
input_get: get_beach
inputs:
"input:0": [1, 299, 299, 3]
outputs:
- InceptionResnetV2/Logits/Predictions:0
rtol: 0.05
googlenet_v1_slim:
url: https://storage.googleapis.com/download.tensorflow.org/models/inception_v1_2016_08_28_frozen.pb.tar.gz
model: inception_v1_2016_08_28_frozen.pb
input_get: get_beach
inputs:
"input:0": [1, 224, 224, 3]
outputs:
- InceptionV1/Logits/Predictions/Softmax:0
rtol: 0.05
googlenet_v2_slim:
# FIXME: fails because of 0.29% missmatch
disabled: true
url: https://storage.googleapis.com/download.tensorflow.org/models/inception_v2_2016_08_28_frozen.pb.tar.gz
model: inception_v2_2016_08_28_frozen.pb
input_get: get_beach
inputs:
"input:0": [1, 224, 224, 3]
outputs:
- InceptionV2/Predictions/Softmax:0
rtol: 0.05
atol: 0.00001
googlenet_v4_slim:
url: https://storage.googleapis.com/download.tensorflow.org/models/inception_v4_2016_09_09_frozen.pb.tar.gz
model: inception_v4_2016_09_09_frozen.pb
input_get: get_beach
inputs:
"input:0": [1, 299, 299, 3]
outputs:
- InceptionV4/Logits/Predictions:0
rtol: 0.1
mobilenet_v2_1.4_224:
# fails because input shape is not given - need to change
# conveter to support Shape() op (don't think there is a runtime that supports it yet)
disabled: true
url: https://storage.googleapis.com/mobilenet_v2/checkpoints/mobilenet_v2_1.4_224.tgz
model: mobilenet_v2_1.4_224_frozen.pb
input_get: get_beach
inputs:
"input:0": [1, 224, 224, 3]
outputs:
- MobilenetV2/Predictions/Reshape_1:0
mobilenet_v1_100_224:
url: https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_1.0_224_frozen.tgz
model: mobilenet_v1_1.0_224/frozen_graph.pb
input_get: get_beach
inputs:
"input:0": [1, 224, 224, 3]
outputs:
- MobilenetV1/Predictions/Softmax:0
mobilenet_v1_75_192:
url: https://storage.googleapis.com/download.tensorflow.org/models/mobilenet_v1_0.75_192_frozen.tgz
model: mobilenet_v1_0.75_192/frozen_graph.pb
input_get: get_beach
inputs:
"input:0": [1, 192, 192, 3]
outputs:
- MobilenetV1/Predictions/Softmax:0
tiny-yolo:
# works but local file
disabled: true
model: c:/src/darkflow/built_graph/tiny-yolo.pb
input_get: get_beach
inputs:
"input:0": [1, 416, 416, 3]
outputs:
- output:0
rtol: 0.6
nasnet-a_mobile_224:
# has only checkpoint format
disabled: true
url: https://storage.googleapis.com/download.tensorflow.org/models/nasnet-a_mobile_04_10_2017.tar.gz
model: fixme
input_get: get_beach
inputs:
"input:0": [1, 416, 416, 3]
outputs:
- output:0
vgg-16:
# has only checkpoint format
disabled: true
url: http://download.tensorflow.org/models/vgg_16_2016_08_28.tar.gz
model: fixme
input_get: get_beach
inputs:
"input:0": [1, 416, 416, 3]
outputs:
- output:0
resnet50:
# has only checkpoint format
disabled: true
url: http://download.tensorflow.org/models/official/resnet50_2017_11_30.tar.gz
model: fixme
input_get: get_beach
inputs:
"input:0": [1, 416, 416, 3]
outputs:
- output:0
#
# models that will never work
#
style-transfer:
# quantitized model
disabled: true
url: https://storage.googleapis.com/download.tensorflow.org/models/stylize_v1.zip
model: stylize_quantized.pb
input_get: get_beach
inputs:
"input:0": [1, 416, 416, 3]
outputs:
- output:0