def val_and_grad_function(f, params=None):
"""Returns a function that computes f and is derivative w.r.t. params.
Args:
f: function to be differentiated.
params: list of parameter names of f or list of integers indexing the
parameters with respect to which we'll differentiate. Passing None
differentiates with respect to all parameters.
Returns:
function which, when called, returns the value of f and the
gradient of f with respect to all of `params`.
Raises:
ValueError: if the params are not all strings or all integers.
"""
return convenience_wrappers.value_and_multigrad(f, _get_arg_spec(f, params))
def val_and_grad_function(f, params=None):
"""Returns a function that computes f and is derivative w.r.t. params.
Args:
f: function to be differentiated.
params: list of parameter names of f or list of integers indexing the
parameters with respect to which we'll differentiate. Passing None
differentiates with respect to all parameters.
Returns:
function which, when called, returns the value of f and the
gradient of f with respect to all of `params`.
Raises:
ValueError: if the params are not all strings or all integers.
"""
return convenience_wrappers.value_and_multigrad(f, _get_arg_spec(f, params))