expose job_timeout in settings tab
parent
10d0ff6482
commit
bac528d4cb
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@ -63,9 +63,12 @@ class UI:
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return 'No active jobs!', worker_status
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return 'No active jobs!', worker_status
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def save_btn(self, thin_client_mode):
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def save_btn(self, thin_client_mode, job_timeout):
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self.world.thin_client_mode = thin_client_mode
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self.world.thin_client_mode = thin_client_mode
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logger.debug(f"thin client mode is now {thin_client_mode}")
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logger.debug(f"thin client mode is now {thin_client_mode}")
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job_timeout = int(job_timeout)
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self.world.job_timeout = job_timeout
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logger.debug(f"job timeout is now {job_timeout} seconds")
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# end handlers
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# end handlers
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@ -107,8 +110,13 @@ class UI:
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info="Only generate images using remote workers. There will be no previews when enabled.",
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info="Only generate images using remote workers. There will be no previews when enabled.",
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value=self.world.thin_client_mode
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value=self.world.thin_client_mode
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)
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)
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job_timeout = gradio.Number(
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label='Job timeout', value=self.world.job_timeout,
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info="Seconds until a worker is considered too slow to be assigned an"
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"equal share of the total request. Longer than 2 seconds is recommended."
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)
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save_btn = gradio.Button(value='Save')
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save_btn = gradio.Button(value='Save')
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save_btn.click(fn=self.save_btn, inputs=[thin_client_cbx])
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save_btn.click(fn=self.save_btn, inputs=[thin_client_cbx, job_timeout])
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return root
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return root
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@ -368,8 +368,8 @@ class Worker:
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self.response_time = time.time() - start
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self.response_time = time.time() - start
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variance = ((eta - self.response_time) / self.response_time) * 100
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variance = ((eta - self.response_time) / self.response_time) * 100
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logger.debug(f"\nWorker '{self.uuid}'s ETA was off by {variance:.2f}%.\n")
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logger.debug(f"\nWorker '{self.uuid}'s ETA was off by {variance:.2f}%.\n"
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logger.debug(f"Predicted {eta:.2f}s. Actual: {self.response_time:.2f}s\n")
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f"Predicted {eta:.2f}s. Actual: {self.response_time:.2f}s\n")
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# if the variance is greater than 500% then we ignore it to prevent variation inflation
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# if the variance is greater than 500% then we ignore it to prevent variation inflation
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if abs(variance) < 500:
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if abs(variance) < 500:
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