add fix for torch tensor reshape tests

[clsandoval]

Closes #10426

Issue

I only included the relevant arguments for the sake of brevity. Essentially, method_all_as_kwargs_np expects a dict with a key/value pair corresponding to the relevant keyword/value. This would not happen here in the case that unpack_shape=True and shape=() as the shape passed to method_all_as_kwargs_np would remain a tuple.

def test_torch_instance_reshape(
    ...
    shape,
    unpack_shape,
    ...
):
    input_dtype, x = dtype_x
    if unpack_shape:
        method_flags.num_positional_args = len(shape) + 1
        shape = {}
        i = 0
        for x_ in shape:
            shape["x{}".format(i)] = x_
            i += 1
    else:
        shape = {
            "shape": shape,
        }
    helpers.test_frontend_method(
        ...
        method_all_as_kwargs_np=shape,
        ...
    )

Fix

I refactored the code to include this case.

    input_dtype, x = dtype_x
    shape = {
        "shape": shape,
    }
    if unpack_shape:
        method_flags.num_positional_args = len(shape["shape"]) + 1
        i = 0
        for x_ in shape["shape"]:
            shape["x{}".format(i)] = x_
            i += 1
    helpers.test_frontend_method(
        ...
        method_all_as_kwargs_np=shape,
        ...
    )

[suvadityamuk]

Hi, @clsandoval

Thank you for the Pull Request!
This looks good to me. Thanks for your contribution 🙂 !