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[IE Tools] Fixed sending messages to error_handler (#5164)

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* Fixed sending messages to error_handler

* Update CCT
This commit is contained in:
Alexey Lebedev 2021-04-13 01:03:27 +03:00 committed by GitHub
parent cae6a3bdcd
commit 64fd5734fe
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GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 6 additions and 6 deletions
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12
inference-engine/tools/cross_check_tool/cross_check_tool.py
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@ -36,7 +36,7 @@ from utils import get_config_dictionary, get_layers_list, print_output_layers, i
###
@error_handling('plugin of \'{plugin.device}\' device config \'{config}\' loading')
@error_handling('plugin of \'{device}\' device config \'{config}\' loading')
def set_plugin_config(core: IECore, device: str, config: str = None):
core.set_config(get_config_dictionary(config_file=config), device_name=device)
@ -68,7 +68,7 @@ def get_net(model: str, core: IECore):
return net
@error_handling('loading network to plugin of {plugin.device} device')
@error_handling('loading network to plugin of {device} device')
def get_exec_net(core, net, device):
return core.load_network(network=net, device_name=device)
@ -100,17 +100,17 @@ def get_model_info(net: IENetwork):
###
@error_handling('processing inference on \'{device}\' device')
@error_handling('processing inference')
def get_infer_results(executable_network, inputs: dict):
return executable_network.infer(inputs=inputs)
@error_handling('getting performance counts from executable network on \'{device}\' device')
@error_handling('getting performance counts from executable network')
def get_perf_counts(executable_network):
return executable_network.requests[0].get_perf_counts()
@error_handling('getting inference results for outputs: \'{output}\'')
@error_handling('getting inference results for outputs: \'{output}\' on \'{device}\' device')
def infer(net: IENetwork, core: IECore, device: str, inputs: dict, output: list):
executable_network = get_exec_net(core=core, net=net, device=device)
infer_dict = get_infer_results(executable_network=executable_network, inputs=inputs)
@ -128,7 +128,7 @@ def infer(net: IENetwork, core: IECore, device: str, inputs: dict, output: list)
return result
@error_handling('getting inference results for outputs: \'{output}\'')
@error_handling('getting inference results for outputs: \'{layers}\'')
def overall_accuracy_check(model: str, ref_model: str, out_layers: list, ref_out_layers: list, inputs: dict,
ref_inputs: dict, core: IECore, device: str, ref_core: IECore, ref_device: str, layers: str,
num_of_iterations: int):