E       TypeError: full() received an invalid combination of arguments - got (tuple, Tensor, out=NoneType, device=torch.device, dtype=torch.dtype), but expected one of:
E        * (tuple of ints size, Number fill_value, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
E        * (tuple of ints size, Number fill_value, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
E       
E       Falsifying example: test_torch_full(
E           on_device='cpu',
E           frontend='torch',
E           backend_fw='torch',
E           shape=(1,),
E           fill_value=array(-1.),
E           dtype=['float64'],
E           test_flags=FrontendFunctionTestFlags(
E               num_positional_args=0,
E               with_out=False,
E               with_copy=False,
E               inplace=False,
E               as_variable=[True],
E               native_arrays=[False],
E               test_trace=False,
E               generate_frontend_arrays=False,
E               transpile=False,
E               precision_mode=False,
E           ),
E           fn_tree='ivy.functional.frontends.torch.full',
E       )

---
Starting Frontend Function Test...
input_dtypes:  ['float16']
test_flags:  num_positional_args=1. with_out=False. with_copy=False. inplace=False. native_arrays=[False]. as_variable=[True]. test_trace=False. generate_frontend_arrays=False. transpile=False.precision_mode=True. 
backend_to_test:  torch
on_device:  cpu
frontend:  torch
fn_tree:  ivy.functional.frontends.torch.full
gt_fn_tree:  None
rtol:  None
atol:  1e-06
tolerance_dict:  None
test_values:  True
all_as_kwargs_np:  {'size': (1,), 'fill_value': array(-0.4304, dtype=float16), 'dtype': 'float16', 'device': 'cpu'}
Checkpoint 1
passing args to get_frontend_ret:  [(1,)]
passing kwargs to get_frontend_ret:  {'fill_value': ivy.array(-0.43041992), 'dtype': 'float16', 'device': 'cpu'}
I'm inside full function
These are the arguments: 
size:  (1,)
fill_value:  ivy.array(-0.43041992)
type(fill_value):  <class 'ivy.data_classes.array.array.Array'>
dtype of fill value:  float16
dtype:  float16
^^^
Frontend Function Issue
full() received an invalid combination of arguments - got (tuple, Tensor, out=NoneType, device=torch.device, dtype=torch.dtype), but expected one of:
 * (tuple of ints size, Number fill_value, *, tuple of names names, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)
 * (tuple of ints size, Number fill_value, *, Tensor out, torch.dtype dtype, torch.layout layout, torch.device device, bool pin_memory, bool requires_grad)

^^^
---

---
Starting Frontend Function Test...
input_dtypes:  ['float16']
test_flags:  num_positional_args=0. with_out=False. with_copy=False. inplace=False. native_arrays=[False]. as_variable=[False]. test_trace=False. generate_frontend_arrays=False. transpile=False.precision_mode=False. 
backend_to_test:  torch
on_device:  cpu
frontend:  torch
fn_tree:  ivy.functional.frontends.torch.full
gt_fn_tree:  None
rtol:  None
atol:  1e-06
tolerance_dict:  None
test_values:  True
all_as_kwargs_np:  {'size': (10,), 'fill_value': array(-1., dtype=float16), 'dtype': 'float16', 'device': 'cpu'}
Checkpoint 1
passing args to get_frontend_ret:  []
passing kwargs to get_frontend_ret:  {'size': (10,), 'fill_value': ivy.array(-1.), 'dtype': 'float16', 'device': 'cpu'}
I'm inside full function
These are the arguments: 
size:  (10,)
fill_value:  ivy.array(-1.)
type(fill_value):  <class 'ivy.data_classes.array.array.Array'>
dtype of fill value:  float16
dtype:  float16
This is the return value:  ivy.array([-1., -1., -1., -1., -1., -1., -1., -1., -1., -1.])
I'm leaving full function
ret:  ivy.frontends.torch.Tensor([-1., -1., -1., -1., -1., -1., -1., -1., -1., -1.])
type of ret:  <class 'ivy.functional.frontends.torch.tensor.Tensor'>
dtype of ret:  float16
Checkpoint 2
frontend_fw:  <module 'torch' from '/home/r0gue_shinobi/.miniconda3/envs/ivy_dev/lib/python3.10/site-packages/torch/__init__.py'>
frontend_fw_fn:  <built-in method full of type object at 0xb348b269a40>
frontend_ret:  tensor([-1., -1., -1., -1., -1., -1., -1., -1., -1., -1.], dtype=torch.float16)
type of frontend_ret:  <class 'torch.Tensor'>
dtype of frontend_ret:  torch.float16
Checkpoint 3
Checkpoint 4
Frontend Test Finished
Initiating value test...
Value test finished
---