Quantizing yolov4 error

[krishnaadithya]

Traceback (most recent call last):
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/framework/importer.py", line 501, in _import_graph_def_internal
graph._c_graph, serialized, options) # pylint: disable=protected-access
tensorflow.python.framework.errors_impl.InvalidArgumentError: NodeDef mentions attr 'exponential_avg_factor' not in Op<name=FusedBatchNormV3; signature=x:T, scale:U, offset:U, mean:U, variance:U -> y:T, batch_mean:U, batch_variance:U, reserve_space_1:U, reserve_space_2:U, reserve_space_3:U; attr=T:type,allowed=[DT_HALF, DT_BFLOAT16, DT_FLOAT]; attr=U:type,allowed=[DT_FLOAT]; attr=epsilon:float,default=0.0001; attr=data_format:string,default="NHWC",allowed=["NHWC", "NCHW"]; attr=is_training:bool,default=true>; NodeDef: {{node batch_normalization/FusedBatchNormV3}}. (Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary.).

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/bin/vai_q_tensorflow", line 11, in
sys.exit(run_main())
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/contrib/decent_q/python/decent_q.py", line 1061, in run_main
app.run(main=my_main, argv=[sys.argv[0]] + unparsed)
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/platform/app.py", line 40, in run
_run(main=main, argv=argv, flags_parser=_parse_flags_tolerate_undef)
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/absl/app.py", line 312, in run
_run_main(main, args)
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/absl/app.py", line 258, in _run_main
sys.exit(main(argv))
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/contrib/decent_q/python/decent_q.py", line 1060, in
my_main = lambda unused_args: main(unused_args, FLAGS)
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/contrib/decent_q/python/decent_q.py", line 676, in main
flags.skip_check, flags.dump_as_xir)
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/contrib/decent_q/python/decent_q.py", line 375, in quantize_frozen
check_float_graph(input_graph_def, input_fn, q_config, s_config)
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/contrib/decent_q/python/decent_q.py", line 275, in check_float_graph
importer.import_graph_def(input_graph_def, name='')
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/util/deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/framework/importer.py", line 405, in import_graph_def
producer_op_list=producer_op_list)
File "/opt/vitis_ai/conda/envs/vitis-ai-tensorflow/lib/python3.6/site-packages/tensorflow_core/python/framework/importer.py", line 505, in import_graph_def_internal
raise ValueError(str(e))
ValueError: NodeDef mentions attr 'exponential_avg_factor' not in Op<name=FusedBatchNormV3; signature=x:T, scale:U, offset:U, mean:U, variance:U -> y:T, batch_mean:U, batch_variance:U, reserve_space_1:U, reserve_space_2:U, reserve_space_3:U; attr=T:type,allowed=[DT_HALF, DT

[IanCheng18]

Same issue, I am using tensorflow = 1.15.2 and running everything fine until this point.
Encounter "Check whether your GraphDef-interpreting binary is up to date with your GraphDef-generating binary"
VitisAI-Tutorial version: 1.14.0

[IanCheng18]

I solved this issue by using the exact docker image provided here in my case I used VitisAI 1.4.1.
Then it worked without issue.

[bhargavin1872008]

when running the requirements.txt of keras-yolov3-modelset -i 'm getting error for coremltools.it is showing like "couldn't find a version that satisfies the requirement tensorflow<=1.14 and tensorflow >=1.5(from tfcoremltools -r requirements.txt).(from version :2.2.0,2.2..1, 2.2.2, ...2.7.0rc0,2.7.0.rc1............) like this .can someone help me regarding this.
Also ,i have a doubt .can we use ubuntu 20.04 ,cuda 11.7 ,cudnn 8.4.0 for this project.
or have to use ubuntu 18.04,cuda 10.0 only which only works.please help me regarding this,i have less time in my hand.