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from flyte_client.client import get_workflow | |
from flyte_client.constants import States | |
from datetime import datetime | |
# Retrieve the workflow definition. | |
workflow_def = get_workflow(workflow_name='CSVGridSearch', service_name='modeltraining', | |
service_instance='production') | |
# Launch workflow | |
workflow = workflow_def( |
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Undefined symbols for architecture x86_64: | |
"cv::imread(std::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int)", referenced from: | |
caffe::ReadImageToDatum(std::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, int, int, int, caffe::Datum*) in io.o | |
"google::protobuf::MessageLite::ParseFromString(std::basic_string<char, std::char_traits<char>, std::allocator<char> > const&)", referenced from: | |
caffe::DataLayer<double>::SetUp(std::vector<caffe::Blob<double>*, std::allocator<caffe::Blob<double>*> > const&, std::vector<caffe::Blob<double>*, std::allocator<caffe::Blob<double>*> >*) in data_layer.o | |
caffe::DataLayer<float>::SetUp(std::vector<caffe::Blob<float>*, std::allocator<caffe::Blob<float>*> > const&, std::vector<caffe::Blob<float>*, std::allocator<caffe::Blob<float>*> >*) in data_layer.o | |
void* caffe::DataLayerPrefetch<float>(void*) in data_layer.o | |
void* caffe::DataLayerPrefetch<double>(void*) in data_layer.o | |
caffe::Net<do |