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+@to_ivy_arrays_and_back +def irfftn(x, s=None, axes=None, norm="backward", name=None): + shape = x.shape + ndim = len(shape) + if s is None: + s = [2 * (dim - 1) for dim in shape] + else: + s = list(s) + if axes is None: + axes = list(range(ndim)) + else: + axes = list(axes) + result = ivy.irfft(x, s=s, axes=axes, norm=norm) + + return result \ No newline at end of file diff --git a/ivy_tests/test_ivy/test_frontends/test_paddle/test_fft.py b/ivy_tests/test_ivy/test_frontends/test_paddle/test_fft.py index e136ea66d7209..fe69370afe4c4 100644 --- a/ivy_tests/test_ivy/test_frontends/test_paddle/test_fft.py +++ b/ivy_tests/test_ivy/test_frontends/test_paddle/test_fft.py @@ -6,6 +6,7 @@ from ivy_tests.test_ivy.helpers import handle_frontend_test + @handle_frontend_test( fn_tree="paddle.fft.fft", dtype_x_axis=helpers.dtype_values_axis( @@ -220,3 +221,47 @@ def test_paddle_irfft( valid_axis=True, force_int_axis=True, ) + + + + + +@handle_frontend_test( + fn_tree="paddle.fft.irfftn", + dtype_x_axis=helpers.dtype_values_axis( + available_dtypes=helpers.get_dtypes("valid"), + min_value=-10, + max_value=10, + min_num_dims=1, + min_dim_size=2, + valid_axis=True, + force_int_axis=True, + ), + s=st.lists(st.integers(min_value=2, max_value=10), min_size=2, max_size=3), + axes=st.lists(st.integers(min_value=0), min_size=1, max_size=2), + norm=st.sampled_from(["backward", "ortho", "forward"]), +) +def test_paddle_irfftn( + dtype_x_axis, + s, + axes, + norm, + frontend, + backend_fw, + test_flags, + fn_tree, +): + input_dtypes, x, _ = dtype_x_axis + + # Perform the irfftn using the frontend function + frontend_result, _ = helpers.test_frontend_function( + input_dtypes=input_dtypes, + frontend=frontend, + backend_to_test=backend_fw, + test_flags=test_flags, + fn_tree=fn_tree, + x=x[0], + s=s, + axes=axes, + norm=norm, + ) \ No newline at end of file

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