/usr/local/lib/python3.10/dist-packages/gym/core.py:317: DeprecationWarning: WARN: Initializing wrapper in old step API which returns one bool instead of two. It is recommended to set `new_step_api=True` to use new step API. This will be the default behaviour in future.
  deprecation(
/usr/local/lib/python3.10/dist-packages/gym/wrappers/step_api_compatibility.py:39: DeprecationWarning: WARN: Initializing environment in old step API which returns one bool instead of two. It is recommended to set `new_step_api=True` to use new step API. This will be the default behaviour in future.
  deprecation(
/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:174: UserWarning: WARN: Future gym versions will require that `Env.reset` can be passed a `seed` instead of using `Env.seed` for resetting the environment random number generator.
  logger.warn(
/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:190: UserWarning: WARN: Future gym versions will require that `Env.reset` can be passed `return_info` to return information from the environment resetting.
  logger.warn(
/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:195: UserWarning: WARN: Future gym versions will require that `Env.reset` can be passed `options` to allow the environment initialisation to be passed additional information.
  logger.warn(
/usr/local/lib/python3.10/dist-packages/gym/utils/passive_env_checker.py:227: DeprecationWarning: WARN: Core environment is written in old step API which returns one bool instead of two. It is recommended to rewrite the environment with new step API. 
  logger.deprecation(
<ipython-input-11-34a0d7821828>:106: UserWarning: Anomaly Detection has been enabled. This mode will increase the runtime and should only be enabled for debugging.
  with torch.autograd.detect_anomaly():
/usr/local/lib/python3.10/dist-packages/torch/autograd/__init__.py:200: UserWarning: Error detected in AddmmBackward0. Traceback of forward call that caused the error:
  File "/usr/lib/python3.10/runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.10/runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "/usr/local/lib/python3.10/dist-packages/ipykernel_launcher.py", line 16, in <module>
    app.launch_new_instance()
  File "/usr/local/lib/python3.10/dist-packages/traitlets/config/application.py", line 992, in launch_instance
    app.start()
  File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelapp.py", line 619, in start
    self.io_loop.start()
  File "/usr/local/lib/python3.10/dist-packages/tornado/platform/asyncio.py", line 195, in start
    self.asyncio_loop.run_forever()
  File "/usr/lib/python3.10/asyncio/base_events.py", line 603, in run_forever
    self._run_once()
  File "/usr/lib/python3.10/asyncio/base_events.py", line 1909, in _run_once
    handle._run()
  File "/usr/lib/python3.10/asyncio/events.py", line 80, in _run
    self._context.run(self._callback, *self._args)
  File "/usr/local/lib/python3.10/dist-packages/tornado/ioloop.py", line 685, in <lambda>
    lambda f: self._run_callback(functools.partial(callback, future))
  File "/usr/local/lib/python3.10/dist-packages/tornado/ioloop.py", line 738, in _run_callback
    ret = callback()
  File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 825, in inner
    self.ctx_run(self.run)
  File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 786, in run
    yielded = self.gen.send(value)
  File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py", line 361, in process_one
    yield gen.maybe_future(dispatch(*args))
  File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 234, in wrapper
    yielded = ctx_run(next, result)
  File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py", line 261, in dispatch_shell
    yield gen.maybe_future(handler(stream, idents, msg))
  File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 234, in wrapper
    yielded = ctx_run(next, result)
  File "/usr/local/lib/python3.10/dist-packages/ipykernel/kernelbase.py", line 539, in execute_request
    self.do_execute(
  File "/usr/local/lib/python3.10/dist-packages/tornado/gen.py", line 234, in wrapper
    yielded = ctx_run(next, result)
  File "/usr/local/lib/python3.10/dist-packages/ipykernel/ipkernel.py", line 302, in do_execute
    res = shell.run_cell(code, store_history=store_history, silent=silent)
  File "/usr/local/lib/python3.10/dist-packages/ipykernel/zmqshell.py", line 539, in run_cell
    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 2975, in run_cell
    result = self._run_cell(
  File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3030, in _run_cell
    return runner(coro)
  File "/usr/local/lib/python3.10/dist-packages/IPython/core/async_helpers.py", line 78, in _pseudo_sync_runner
    coro.send(None)
  File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3257, in run_cell_async
    has_raised = await self.run_ast_nodes(code_ast.body, cell_name,
  File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3473, in run_ast_nodes
    if (await self.run_code(code, result,  async_=asy)):
  File "/usr/local/lib/python3.10/dist-packages/IPython/core/interactiveshell.py", line 3553, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-12-ebd8c3a16d78>", line 72, in <cell line: 72>
    sac_agent.train()
  File "<ipython-input-11-34a0d7821828>", line 180, in train
    self.optimize(experiences)
  File "<ipython-input-11-34a0d7821828>", line 129, in optimize
    current_q_vals_b = self.online_value_model_b(states, current_actions)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "<ipython-input-8-c490369f540d>", line 54, in forward
    x = self.output_layer(x)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1501, in _call_impl
    return forward_call(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/linear.py", line 114, in forward
    return F.linear(input, self.weight, self.bias)
 (Triggered internally at ../torch/csrc/autograd/python_anomaly_mode.cpp:114.)
  Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
---------------------------------------------------------------------------
RuntimeError                              Traceback (most recent call last)
[<ipython-input-12-ebd8c3a16d78>](https://localhost:8080/#) in <cell line: 72>()
     70 
     71 # start training
---> 72 sac_agent.train()

3 frames
[/usr/local/lib/python3.10/dist-packages/torch/autograd/__init__.py](https://localhost:8080/#) in backward(tensors, grad_tensors, retain_graph, create_graph, grad_variables, inputs)
    198     # some Python versions print out the first line of a multi-line function
    199     # calls in the traceback and some print out the last line
--> 200     Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
    201         tensors, grad_tensors_, retain_graph, create_graph, inputs,
    202         allow_unreachable=True, accumulate_grad=True)  # Calls into the C++ engine to run the backward pass

RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.FloatTensor [256, 1]], which is output 0 of AsStridedBackward0, is at version 2; expected version 1 instead. Hint: the backtrace further above shows the operation that failed to compute its gradient. The variable in question was changed in there or anywhere later. Good luck!