[Bug]: TensorFlow Zeros API at Ivy Frontend: Limitation with Paddle Backend Supports Only Dimensions 0 to 9

[akshatvishu]

Bug Explanation

When running tests for the TensorFlow Zeros API implemented at the Ivy frontend, the following error is encountered when the Paddle backend is used:

OSError: Unimplemented error. Invalid dimension to be accessed. Now only supports access to dimension 0 to 9, but received dimension is 10.

Suggested Fix

    if ivy.current_backend_str() == "paddle":
        # Paddle only supports ndim from 0 to 9
        assume(input.shape[0] < 10)

Steps to Reproduce Bug

from CLI run: python3 -m pytest ivy_tests/test_ivy/test_frontends/test_tensorflow/test_general_functions.py::test_tensorflow_zeros -B=paddle

E               OSError: Unimplemented error. Invalid dimension to be accessed. Now only supports access to dimension 0 to 9, but received dimension is 10.
E                 [/paddle/paddle/phi/core/ddim.h:55]
E               Falsifying example: test_tensorflow_zeros(
E                   frontend='tensorflow',
E                   backend_fw='paddle',
E                   on_device='cpu',
E                   input=(0, 0, 0, 0, 0, 0, 0, 0, 0, 0),
E                   dtype=['complex64'],
E                   fn_tree='ivy.functional.frontends.tensorflow.zeros',
E                   test_flags=FrontendFunctionTestFlags(
E                       num_positional_args=0,
E                       with_out=False,
E                       inplace=False,
E                       as_variable=[False],
E                       native_arrays=[False],
E                       test_compile=False,
E                       generate_frontend_arrays=False,
E                       transpile=False,
E                       precision_mode=False,
E                   ),
E               )

Environment

Linux+docker+vscode

Ivy Version

v1.1.9

Backend

• NumPy
• TensorFlow
• PyTorch
• JAX
• Paddle

Device

CPU