fixes

Author: ismukhin

src/benchmark/tests/test_processes.py

@@ -16,7 +16,6 @@
                                                                           OpenVINOBenchmarkCppProcess)
 from src.benchmark.frameworks.openvino.openvino_process import OpenVINOProcess
 from src.benchmark.frameworks.openvino.openvino_python_api_process import AsyncOpenVINOProcess, SyncOpenVINOProcess
-from src.benchmark.frameworks.processes import ProcessHandler
 from src.benchmark.frameworks.pytorch.pytorch_process import PyTorchProcess
 from src.benchmark.frameworks.pytorch_cpp.pytorch_cpp_process import PyTorchCppProcess
 from src.benchmark.frameworks.tensorflow.tensorflow_process import TensorFlowProcess

src/deployment/jenkins/tvm_build_envs.py

@@ -24,9 +24,9 @@ def create_envs(self):
                 else:
                     pip_str = f'{self.conda_prefix}/envs/tvm_{framework}_{self.branch}/bin/pip3'
                     self._run(pip_str + f' install {framework}==1.9.1')
-                    self._run(pip_str + f' install gluoncv[full]')
-                    self._run(pip_str + f' uninstall -y numpy')
-                    self._run(pip_str + f' install numpy==1.23.1')
+                    self._run(pip_str + ' install gluoncv[full]')
+                    self._run(pip_str + ' uninstall -y numpy')
+                    self._run(pip_str + ' install numpy==1.23.1')
 
 
 def cli_arguments_parse():

src/deployment/jenkins/tvm_build_pipeline.py

@@ -20,7 +20,7 @@ def build_tvm(self):
         self._run(f'git clone --recursive https://github.com/apache/tvm -b {self.branch}')
         command1 = 'cd tvm && mkdir -p build && cd build && cmake -DUSE_LLVM=ON -DUSE_BLAS=openblas ../ && '
         command2 = 'make -j$(nproc --all) && cd ../python && '
-        command3 = f'{self.conda}/envs/tvm_main_{self.branch}/bin/python setup.py install --user' 
+        command3 = f'{self.conda}/envs/tvm_main_{self.branch}/bin/python setup.py install --user'
         self._run(command1 + command2 + command3)
 
 

src/deployment/jenkins/tvm_compile_pipeline.py

@@ -52,7 +52,7 @@ def _add_option(self, name_of_arg):
 
     def create_command_line(self, model_name, target, batch, opt_level):
         self._command_line = (f'{self.conda}/envs/tvm_main_{self.branch}/bin/python3 ' + f'{self.converter}')
-        self._add_argument('--mod', f'{self.models_dir}/{model_name}/batch_{batch}/{model_name}.json') 
+        self._add_argument('--mod', f'{self.models_dir}/{model_name}/batch_{batch}/{model_name}.json')
         self._add_argument('--params', f'{self.models_dir}/{model_name}/batch_{batch}/{model_name}.params')
         self._add_argument('-t', f'"{target}"')
         self._add_argument('--opt_level', f'{opt_level}')

src/deployment/jenkins/tvm_convert_pipeline.py

@@ -51,7 +51,7 @@ def create_command_line(self, model_name, model, weights,
         self._add_argument('-mn', model_name)
         if model != '':
             self._add_argument('-m', f'{self.models_dir}/{model}')
-        if weights != '':         
+        if weights != '':
             self._add_argument('-w', f'{self.models_dir}/{weights}')
         if framework == 'torch':
             framework = 'pytorch'