Disabled TensorrtExecutionProvider due to a bug, it will now run with CUDAExecutionProvider on NVIDIA until we resolve error #9 #10
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10
refacer.py
10
refacer.py
@@ -52,6 +52,11 @@ class Refacer:
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self.use_num_cpus = mp.cpu_count()-1
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self.use_num_cpus = mp.cpu_count()-1
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self.sess_options.intra_op_num_threads = int(self.use_num_cpus/3)
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self.sess_options.intra_op_num_threads = int(self.use_num_cpus/3)
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print(f"CoreML mode with providers {self.providers}")
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print(f"CoreML mode with providers {self.providers}")
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elif 'CUDAExecutionProvider' in self.providers:
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self.mode = RefacerMode.CUDA
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self.use_num_cpus = 1
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self.sess_options.intra_op_num_threads = 1
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print(f"CUDA mode with providers {self.providers}")
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elif 'TensorrtExecutionProvider' in self.providers:
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elif 'TensorrtExecutionProvider' in self.providers:
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self.mode = RefacerMode.TENSORRT
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self.mode = RefacerMode.TENSORRT
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#self.use_num_cpus = 1
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#self.use_num_cpus = 1
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@@ -59,11 +64,6 @@ class Refacer:
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self.use_num_cpus = mp.cpu_count()-1
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self.use_num_cpus = mp.cpu_count()-1
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self.sess_options.intra_op_num_threads = int(self.use_num_cpus/3)
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self.sess_options.intra_op_num_threads = int(self.use_num_cpus/3)
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print(f"TENSORRT mode with providers {self.providers}")
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print(f"TENSORRT mode with providers {self.providers}")
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elif 'CUDAExecutionProvider' in self.providers:
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self.mode = RefacerMode.CUDA
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self.use_num_cpus = 1
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self.sess_options.intra_op_num_threads = 1
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print(f"CUDA mode with providers {self.providers}")
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def __init_apps(self):
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def __init_apps(self):
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