remove skipping tests in gpu_no_f64

Author: vtavana

dpnp/dpnp_iface_mathematical.py

@@ -1789,12 +1789,8 @@ def subtract(
     -----------
     Parameters `x1` and `x2` are supported as either scalar, :class:`dpnp.ndarray`
     or :class:`dpctl.tensor.usm_ndarray`, but both `x1` and `x2` can not be scalars at the same time.
-<<<<<<< HEAD
     Parameters `where`, `dtype` and `subok` are supported with their default values.
-=======
-    Parameters `out`, `where`, `dtype` and `subok` are supported with their default values.
->>>>>>> use_dpctl_ceil_floor_trunc_in_dpnp
-    Keyword arguments `kwargs` are currently unsupported.
+    Keyword argument `kwargs` is currently unsupported.
     Otherwise the function will be executed sequentially on CPU.
     Input array data types are limited by supported DPNP :ref:`Data types`.
 

tests/skipped_tests_gpu_no_fp64.tbl

@@ -350,27 +350,6 @@ tests/test_mathematical.py::TestGradient::test_gradient_y1_dx[2-array2]
 tests/test_mathematical.py::TestGradient::test_gradient_y1_dx[3.5-array0]
 tests/test_mathematical.py::TestGradient::test_gradient_y1_dx[3.5-array1]
 tests/test_mathematical.py::TestGradient::test_gradient_y1_dx[3.5-array2]
-tests/test_mathematical.py::TestCeil::test_ceil
-tests/test_mathematical.py::TestCeil::test_invalid_dtype[numpy.float32]
-tests/test_mathematical.py::TestCeil::test_invalid_dtype[numpy.int64]
-tests/test_mathematical.py::TestCeil::test_invalid_dtype[numpy.int32]
-tests/test_mathematical.py::TestCeil::test_invalid_shape[(0,)]
-tests/test_mathematical.py::TestCeil::test_invalid_shape[(15, )]
-tests/test_mathematical.py::TestCeil::test_invalid_shape[(2,2)]
-tests/test_mathematical.py::TestFloor::test_floor
-tests/test_mathematical.py::TestFloor::test_invalid_dtype[numpy.float32]
-tests/test_mathematical.py::TestFloor::test_invalid_dtype[numpy.int64]
-tests/test_mathematical.py::TestFloor::test_invalid_dtype[numpy.int32]
-tests/test_mathematical.py::TestFloor::test_invalid_shape[(0,)]
-tests/test_mathematical.py::TestFloor::test_invalid_shape[(15, )]
-tests/test_mathematical.py::TestFloor::test_invalid_shape[(2,2)]
-tests/test_mathematical.py::TestTrunc::test_trunc
-tests/test_mathematical.py::TestTrunc::test_invalid_dtype[numpy.float32]
-tests/test_mathematical.py::TestTrunc::test_invalid_dtype[numpy.int64]
-tests/test_mathematical.py::TestTrunc::test_invalid_dtype[numpy.int32]
-tests/test_mathematical.py::TestTrunc::test_invalid_shape[(0,)]
-tests/test_mathematical.py::TestTrunc::test_invalid_shape[(15, )]
-tests/test_mathematical.py::TestTrunc::test_invalid_shape[(2,2)]
 tests/test_mathematical.py::TestPower::test_power[complex64]
 tests/test_mathematical.py::TestPower::test_out_dtypes[bool_]
 tests/test_mathematical.py::TestPower::test_out_dtypes[int32]