Traceback (most recent call last): File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution executenb( File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 1204, in execute return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute() File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/util.py", line 84, in wrapped return just_run(coro(*args, **kwargs)) File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/util.py", line 62, in just_run return loop.run_until_complete(coro) File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/asyncio/base_events.py", line 647, in run_until_complete return future.result() File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 663, in async_execute await self.async_execute_cell( File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 965, in async_execute_cell await self._check_raise_for_error(cell, cell_index, exec_reply) File "/Users/mhjensen/miniforge3/envs/myenv/lib/python3.9/site-packages/nbclient/client.py", line 862, in _check_raise_for_error raise CellExecutionError.from_cell_and_msg(cell, exec_reply_content) nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell: ------------------ autograd_one_layer = grad(cost_one_layer, [0, 1]) W_g, b_g = autograd_one_layer(W, b, x, target) print(W_g, b_g) ------------------ --------------------------------------------------------------------------- KeyError Traceback (most recent call last) File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py:118, in new_box(value, trace, node)  117 try: --> 118 return box_type_mappings[type(value)](value, trace, node)  119 except KeyError: KeyError: During handling of the above exception, another exception occurred: TypeError Traceback (most recent call last) Cell In[3], line 2  1 autograd_one_layer = grad(cost_one_layer, [0, 1]) ----> 2 W_g, b_g = autograd_one_layer(W, b, x, target)  3 print(W_g, b_g) File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py:20, in unary_to_nary..nary_operator..nary_f(*args, **kwargs)  18 else:  19 x = tuple(args[i] for i in argnum) ---> 20 return unary_operator(unary_f, x, *nary_op_args, **nary_op_kwargs) File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/differential_operators.py:28, in grad(fun, x)  21 @unary_to_nary  22 def grad(fun, x):  23  """  24  Returns a function which computes the gradient of `fun` with respect to  25  positional argument number `argnum`. The returned function takes the same  26  arguments as `fun`, but returns the gradient instead. The function `fun`  27  should be scalar-valued. The gradient has the same type as the argument.""" ---> 28 vjp, ans = _make_vjp(fun, x)  29 if not vspace(ans).size == 1:  30 raise TypeError("Grad only applies to real scalar-output functions. "  31 "Try jacobian, elementwise_grad or holomorphic_grad.") File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/core.py:10, in make_vjp(fun, x)  8 def make_vjp(fun, x):  9 start_node = VJPNode.new_root() ---> 10 end_value, end_node = trace(start_node, fun, x)  11 if end_node is None:  12 def vjp(g): return vspace(x).zeros() File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py:10, in trace(start_node, fun, x)  8 with trace_stack.new_trace() as t:  9 start_box = new_box(x, t, start_node) ---> 10 end_box = fun(start_box)  11 if isbox(end_box) and end_box._trace == start_box._trace:  12 return end_box._value, end_box._node File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/wrap_util.py:14, in unary_to_nary..nary_operator..nary_f..unary_f(x)  12 subargs = subvals(args, [(argnum, x)])  13 else: ---> 14 subargs = subvals(args, zip(argnum, x))  15 return fun(*subargs, **kwargs) File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/util.py:6, in subvals(x, ivs)  4 def subvals(x, ivs):  5 x_ = list(x) ----> 6 for i, v in ivs:  7 x_[i] = v  8 return tuple(x_) File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py:46, in primitive..f_wrapped(*args, **kwargs)  44 ans = f_wrapped(*argvals, **kwargs)  45 node = node_constructor(ans, f_wrapped, argvals, kwargs, argnums, parents) ---> 46 return new_box(ans, trace, node)  47 else:  48 return f_raw(*args, **kwargs) File ~/miniforge3/envs/myenv/lib/python3.9/site-packages/autograd/tracer.py:120, in new_box(value, trace, node)  118 return box_type_mappings[type(value)](value, trace, node)  119 except KeyError: --> 120 raise TypeError("Can't differentiate w.r.t. type {}".format(type(value))) TypeError: Can't differentiate w.r.t. type TypeError: Can't differentiate w.r.t. type