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from typing import List |
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import tensorflow as tf |
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4
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5
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from software_patterns import Proxy |
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7
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8
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class TensorflowSessionRunnerSubject: |
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def __init__(self, interactive_session) -> None: |
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self.interactive_session = interactive_session |
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12
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def run(self, *args, **kwargs): |
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return self.interactive_session.run(*args, **kwargs) |
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15
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class TensorflowSessionRunner(Proxy): |
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def __init__(self, real_subject) -> None: |
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super().__init__(real_subject) |
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# self._proxy_subject IS a reference to an |
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# TensorflowSessionRun nerSubject instance |
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self.args_history: List[str] = [] |
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def run(self, *args, **kwargs): |
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"""# Using the `close()` method. |
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sess = tf.compat.v1.Session() |
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sess.run(...) |
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sess.close() |
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OR |
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31
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# Using the context manager. |
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with tf.compat.v1.Session() as sess: |
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sess.run(...) |
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""" |
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session_run_callable = self._proxy_subject.run |
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args_str = f"[{', '.join((str(_) for _ in args))}]" |
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kwargs_str = f"[{', '.join((f'{k}={v}' for k, v in kwargs.items()))}]" |
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self.args_history.append(f"ARGS: {args_str}, KWARGS: {kwargs_str}") |
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try: |
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return session_run_callable(*args, **kwargs) |
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except Exception as tensorflow_error: |
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raise TensorflowSessionRunError('Tensorflow error occured, when' |
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f'running session with input args {args_str} and kwargs {kwargs_str}') from tensorflow_error |
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@property |
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def session(self): |
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return self._proxy_subject.interactive_session |
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48
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49
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@classmethod |
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def with_default_graph_reset(cls): |
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tf.compat.v1.reset_default_graph() |
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tf.compat.v1.disable_eager_execution() |
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return TensorflowSessionRunner(TensorflowSessionRunnerSubject( |
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tf.compat.v1.InteractiveSession())) |
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56
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57
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class TensorflowSessionRunError(Exception): pass |
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boromir674 /
neural-style-transfer
