From a2c650a7227f43eaf0e3c7eda84f907e4f250a51 Mon Sep 17 00:00:00 2001 From: crusaderky Date: Fri, 31 Jan 2025 11:43:04 +0000 Subject: [PATCH] TST: torch XPASS cleanup --- torch-xfails.txt | 67 ------------------------------------------------ 1 file changed, 67 deletions(-) diff --git a/torch-xfails.txt b/torch-xfails.txt index 5a7703c..915149e 100644 --- a/torch-xfails.txt +++ b/torch-xfails.txt @@ -12,15 +12,11 @@ array_api_tests/test_array_object.py::test_getitem_masking # Overflow error from large inputs array_api_tests/test_creation_functions.py::test_arange # pytorch linspace bug (should be fixed in torch 2.0) -array_api_tests/test_creation_functions.py::test_linspace # We cannot wrap the tensor object array_api_tests/test_has_names.py::test_has_names[array_method-__array_namespace__] array_api_tests/test_has_names.py::test_has_names[array_method-to_device] -# tensordot doesn't allow integer dtypes in some corner cases -array_api_tests/test_linalg.py::test_tensordot - # We cannot wrap the tensor object array_api_tests/test_operators_and_elementwise_functions.py::test_add[__add__(x1, x2)] array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_and[__and__(x1, x2)] @@ -49,12 +45,6 @@ array_api_tests/test_operators_and_elementwise_functions.py::test_acos array_api_tests/test_operators_and_elementwise_functions.py::test_atan array_api_tests/test_operators_and_elementwise_functions.py::test_asin -# overflow near float max -array_api_tests/test_operators_and_elementwise_functions.py::test_log1p - -# torch doesn't handle shifting by more than the bit size correctly -# https://github.com/pytorch/pytorch/issues/70904 -array_api_tests/test_operators_and_elementwise_functions.py::test_bitwise_right_shift[bitwise_right_shift(x1, x2)] # Torch bug for remainder in some cases with large values array_api_tests/test_operators_and_elementwise_functions.py::test_remainder[remainder(x1, x2)] @@ -65,11 +55,6 @@ array_api_tests/test_set_functions.py::test_unique_all # (https://github.com/pytorch/pytorch/issues/94106) array_api_tests/test_set_functions.py::test_unique_inverse -# The test suite incorrectly divides by 0 here -# (https://github.com/data-apis/array-api-tests/issues/170) -array_api_tests/test_signatures.py::test_func_signature[floor_divide] -array_api_tests/test_signatures.py::test_func_signature[remainder] -array_api_tests/test_signatures.py::test_array_method_signature[__mod__] # We cannot add attributes to the tensor object array_api_tests/test_signatures.py::test_array_method_signature[__array_namespace__] @@ -78,13 +63,6 @@ array_api_tests/test_signatures.py::test_array_method_signature[to_device] # We do not attempt to work around special-case differences (most are on # tensor methods which we couldn't fix anyway). -array_api_tests/test_special_cases.py::test_binary[__add__((x1_i is +0 or x1_i == -0) and isfinite(x2_i) and x2_i != 0) -> x2_i] -array_api_tests/test_special_cases.py::test_binary[__add__(isfinite(x1_i) and x1_i != 0 and (x2_i is +0 or x2_i == -0)) -> x1_i] -array_api_tests/test_special_cases.py::test_binary[__add__(isfinite(x1_i) and x1_i != 0 and x2_i == -x1_i) -> +0] -array_api_tests/test_special_cases.py::test_binary[__add__(isfinite(x1_i) and x2_i is +infinity) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__add__(isfinite(x1_i) and x2_i is -infinity) -> -infinity] -array_api_tests/test_special_cases.py::test_binary[__add__(x1_i is +infinity and isfinite(x2_i)) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__add__(x1_i is -infinity and isfinite(x2_i)) -> -infinity] array_api_tests/test_special_cases.py::test_binary[__floordiv__(isfinite(x1_i) and x1_i < 0 and x2_i is +infinity) -> -0] array_api_tests/test_special_cases.py::test_binary[__floordiv__(isfinite(x1_i) and x1_i < 0 and x2_i is -infinity) -> +0] array_api_tests/test_special_cases.py::test_binary[__floordiv__(isfinite(x1_i) and x1_i > 0 and x2_i is +infinity) -> +0] @@ -109,41 +87,6 @@ array_api_tests/test_special_cases.py::test_binary[__mod__(x1_i is +0 and x2_i < array_api_tests/test_special_cases.py::test_binary[__mod__(x1_i is +0 and x2_i > 0) -> +0] array_api_tests/test_special_cases.py::test_binary[__mod__(x1_i is -0 and x2_i < 0) -> -0] array_api_tests/test_special_cases.py::test_binary[__mod__(x1_i is -0 and x2_i > 0) -> +0] -array_api_tests/test_special_cases.py::test_binary[__pow__(abs(x1_i) < 1 and x2_i is +infinity) -> +0] -array_api_tests/test_special_cases.py::test_binary[__pow__(abs(x1_i) < 1 and x2_i is -infinity) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__pow__(abs(x1_i) > 1 and x2_i is +infinity) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__pow__(abs(x1_i) > 1 and x2_i is -infinity) -> +0] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i < 0 and isfinite(x1_i) and isfinite(x2_i) and not x2_i.is_integer()) -> NaN] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is +0 and x2_i < 0) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is +0 and x2_i > 0) -> +0] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is +infinity and x2_i < 0) -> +0] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is +infinity and x2_i > 0) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -0 and x2_i < 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -0 and x2_i < 0 and x2_i.is_integer() and x2_i % 2 == 1) -> -infinity] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -0 and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +0] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -0 and x2_i > 0 and x2_i.is_integer() and x2_i % 2 == 1) -> -0] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -infinity and x2_i < 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +0] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -infinity and x2_i < 0 and x2_i.is_integer() and x2_i % 2 == 1) -> -0] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -infinity and x2_i > 0 and not (x2_i.is_integer() and x2_i % 2 == 1)) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is -infinity and x2_i > 0 and x2_i.is_integer() and x2_i % 2 == 1) -> -infinity] -array_api_tests/test_special_cases.py::test_binary[__pow__(x1_i is NaN and not x2_i == 0) -> NaN] -array_api_tests/test_special_cases.py::test_binary[__truediv__(isfinite(x1_i) and x1_i < 0 and x2_i is +infinity) -> -0] -array_api_tests/test_special_cases.py::test_binary[__truediv__(isfinite(x1_i) and x1_i < 0 and x2_i is -infinity) -> +0] -array_api_tests/test_special_cases.py::test_binary[__truediv__(isfinite(x1_i) and x1_i > 0 and x2_i is +infinity) -> +0] -array_api_tests/test_special_cases.py::test_binary[__truediv__(isfinite(x1_i) and x1_i > 0 and x2_i is -infinity) -> -0] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i < 0 and x2_i is +0) -> -infinity] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i < 0 and x2_i is -0) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i > 0 and x2_i is +0) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i > 0 and x2_i is -0) -> -infinity] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i is +0 and x2_i < 0) -> -0] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i is +0 and x2_i > 0) -> +0] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i is +infinity and isfinite(x2_i) and x2_i < 0) -> -infinity] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i is +infinity and isfinite(x2_i) and x2_i > 0) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i is -0 and x2_i < 0) -> +0] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i is -0 and x2_i > 0) -> -0] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i is -infinity and isfinite(x2_i) and x2_i < 0) -> +infinity] -array_api_tests/test_special_cases.py::test_binary[__truediv__(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity] -array_api_tests/test_special_cases.py::test_binary[add(isfinite(x1_i) and x1_i != 0 and x2_i == -x1_i) -> +0] array_api_tests/test_special_cases.py::test_binary[floor_divide(isfinite(x1_i) and x1_i < 0 and x2_i is +infinity) -> -0] array_api_tests/test_special_cases.py::test_binary[floor_divide(isfinite(x1_i) and x1_i > 0 and x2_i is -infinity) -> -0] array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is +infinity and isfinite(x2_i) and x2_i < 0) -> -infinity] @@ -152,7 +95,6 @@ array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is -infinit array_api_tests/test_special_cases.py::test_binary[floor_divide(x1_i is -infinity and isfinite(x2_i) and x2_i > 0) -> -infinity] array_api_tests/test_special_cases.py::test_binary[remainder(x1_i is +0 and x2_i < 0) -> -0] array_api_tests/test_special_cases.py::test_binary[remainder(x1_i is -0 and x2_i > 0) -> +0] -array_api_tests/test_special_cases.py::test_iop[__iadd__(isfinite(x1_i) and x1_i != 0 and x2_i == -x1_i) -> +0] array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(isfinite(x1_i) and x1_i < 0 and x2_i is +infinity) -> -0] array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(isfinite(x1_i) and x1_i > 0 and x2_i is -infinity) -> -0] array_api_tests/test_special_cases.py::test_iop[__ifloordiv__(x1_i is +infinity and isfinite(x2_i) and x2_i < 0) -> -infinity] @@ -164,20 +106,11 @@ array_api_tests/test_special_cases.py::test_iop[__imod__(x1_i is -0 and x2_i > 0 # Float correction is not supported by pytorch # (https://github.com/data-apis/array-api-tests/issues/168) -array_api_tests/test_special_cases.py::test_empty_arrays[std] -array_api_tests/test_special_cases.py::test_empty_arrays[var] -array_api_tests/test_special_cases.py::test_nan_propagation[std] -array_api_tests/test_special_cases.py::test_nan_propagation[var] array_api_tests/test_statistical_functions.py::test_std array_api_tests/test_statistical_functions.py::test_var -# The test suite is incorrectly checking sums that have loss of significance -# (https://github.com/data-apis/array-api-tests/issues/168) -array_api_tests/test_statistical_functions.py::test_sum -array_api_tests/test_statistical_functions.py::test_prod # These functions do not yet support complex numbers -array_api_tests/test_operators_and_elementwise_functions.py::test_expm1 array_api_tests/test_operators_and_elementwise_functions.py::test_round array_api_tests/test_set_functions.py::test_unique_counts array_api_tests/test_set_functions.py::test_unique_values