feat: added t function of paddle frontend and related test cases #22871
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ivy-leaves
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Paddle Frontend
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Hi @Infrared1029 , could you please review my PR 😃 |
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Hi @Infrared1029 , I resolved merge conflicts and tested the function locally again. But one of the test case is failing (keyError: 'CPU'). This error popped up after I resolved the merge conflicts. Attaching below the screenshot of the error.
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sachelsout
changed the title
| # transpose | ||
| @with_unsupported_dtypes({"2.5.1 and below": ("uint8", "int8", "int16")}, "paddle") | ||
| @to_ivy_arrays_and_back | ||
| def transpose(x, perm, name=None): | ||
| return ivy.permute_dims(x, axes=perm) |
There was a problem hiding this comment.
Remove these changes as well.
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| # global | ||
| import ivy | ||
| from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes | ||
| from ivy.functional.frontends.paddle import promote_types_of_paddle_inputs | ||
| from ivy.functional.frontends.paddle.func_wrapper import ( | ||
| to_ivy_arrays_and_back, | ||
| ) | ||
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| @with_supported_dtypes({"2.4.1 and above": ("int64",)}, "paddle") | ||
| @to_ivy_arrays_and_back | ||
| def bincount(x, weights=None, minlength=0, name=None): | ||
| return ivy.bincount(x, weights=weights, minlength=minlength) | ||
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| # bmm | ||
| @with_unsupported_dtypes({"2.5.1 and below": ("float16", "bfloat16")}, "paddle") | ||
| @to_ivy_arrays_and_back | ||
| def bmm(x, y, transpose_x=False, transpose_y=False, name=None): | ||
| if len(ivy.shape(x)) != 3 or len(ivy.shape(y)) != 3: | ||
| raise RuntimeError("input must be 3D matrices") | ||
| x, y = promote_types_of_paddle_inputs(x, y) | ||
| return ivy.matmul(x, y, transpose_a=transpose_x, transpose_b=transpose_y) | ||
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| # cholesky | ||
| @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle") | ||
| @to_ivy_arrays_and_back | ||
| def cholesky(x, /, *, upper=False, name=None): | ||
| return ivy.cholesky(x, upper=upper) | ||
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| # cholesky_solve | ||
| @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle") | ||
| @to_ivy_arrays_and_back | ||
| def cholesky_solve(x, y, /, *, upper=False, name=None): | ||
| if upper: | ||
| y = ivy.matrix_transpose(y) | ||
| Y = ivy.solve(y, x) | ||
| return ivy.solve(ivy.matrix_transpose(y), Y) | ||
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| # cond | ||
| @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle") | ||
| @to_ivy_arrays_and_back | ||
| def cond(x, p=None, name=None): | ||
| ret = ivy.cond(x, p=p, out=name) | ||
| if ret.shape == (): | ||
| ret = ret.reshape((1,)) | ||
| return ret | ||
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| @with_supported_dtypes( | ||
| {"2.5.1 and below": ("float32", "float64", "int32", "int64")}, "paddle" | ||
| ) | ||
| @to_ivy_arrays_and_back | ||
| def cross(x, y, /, *, axis=9, name=None): | ||
| x, y = promote_types_of_paddle_inputs(x, y) | ||
| return ivy.cross(x, y, axis=axis) | ||
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| @with_supported_dtypes({"2.4.1 and above": ("float64", "float32")}, "paddle") | ||
| @to_ivy_arrays_and_back | ||
| def dist(x, y, p=2): | ||
| ret = ivy.vector_norm(ivy.subtract(x, y), ord=p) | ||
| return ivy.reshape(ret, (1,)) | ||
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| # dot | ||
| @with_supported_dtypes({"2.5.1 and below": ("float32", "float64")}, "paddle") | ||
| @to_ivy_arrays_and_back | ||
| def dot(x, y, name=None): | ||
| x, y = promote_types_of_paddle_inputs(x, y) | ||
| out = ivy.multiply(x, y) | ||
| return ivy.sum(out, axis=ivy.get_num_dims(x) - 1, keepdims=False) | ||
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There was a problem hiding this comment.
Can you please remove all the unrelated changes except your function implementation.
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This PR has been labelled as stale because it has been inactive for more than 7 days. If you would like to continue working on this PR, then please add another comment or this PR will be closed in 7 days. |
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This PR has been closed because it has been marked as stale for more than 7 days with no activity. |
PR Description
This PR solves the issue named 't' (which comes under paddle.tensor.linalg). The function definition and related test cases done. All the test cases are passing locally.
Related Issue
Close #22865
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