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np.negative (#184)
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+98
-97
lines changed

4 files changed

+98
-97
lines changed

‎azure-pipelines.yml

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@@ -126,7 +126,6 @@ jobs:
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export OCL_ICD_FILENAMES=libintelocl.so
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export SYCL_DEVICE_FILTER=opencl:cpu
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export NUMBA_DISABLE_PERFORMANCE_WARNINGS=1
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export DPCOMP_ENABLE_PARFOR_TESTS=1
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pytest -n1 -vv --capture=tee-sys -rX
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displayName: 'Tests'
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‎numba_dpcomp/numba_dpcomp/mlir/numpy/funcs.py

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@@ -207,6 +207,7 @@ def bool_type(builder, t):
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(register_func("numpy.exp", numpy.exp), f64_type, lambda a, b: math.exp(a)),
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(register_func("numpy.tanh", numpy.tanh), f64_type, lambda a, b: math.tanh(a)),
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(register_func("numpy.abs", numpy.abs), None, lambda a, b: abs(a)),
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(register_func("numpy.negative", numpy.negative), None, lambda a, b: -a),
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(
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register_func("numpy.logical_not", numpy.logical_not),
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bool_type,

‎numba_dpcomp/numba_dpcomp/mlir/tests/test_numba_parfor.py

Lines changed: 96 additions & 96 deletions
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@@ -53,103 +53,103 @@ def _gen_tests():
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]
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xfail_tests = {
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"test_prange03sub", # sub reduction
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"test_prange03div", # div reduction
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"test_prange25", # list support
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"test_prange18", # memssa failure
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"test_list_setitem_hoisting", # list support
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"test_list_comprehension_prange", # list comprehension support
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"test_prange_raises_invalid_step_size", # we actually support arbirary step in prange
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"test_issue7501", # invalid tensor<->memref canonicalization
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"test_parfor_race_1", # cfg->scf conversion failure
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"test_nested_parfor_push_call_vars", # Can't resolve function 'negative'
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"test_record_array_setitem_yield_array", # Record and string support
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"test_record_array_setitem", # Record and string support
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"test_multiple_call_getattr_object", # Can't resolve function 'negative'
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"test_prange_two_instances_same_reduction_var", # Non-trivial reduction
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"test_prange03sub", # sub reduction
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"test_prange03div", # div reduction
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"test_prange25", # list support
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"test_prange18", # memssa failure
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"test_list_setitem_hoisting", # list support
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"test_list_comprehension_prange", # list comprehension support
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"test_prange_raises_invalid_step_size", # we actually support arbirary step in prange
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"test_issue7501", # invalid tensor<->memref canonicalization
64+
"test_parfor_race_1", # cfg->scf conversion failure
65+
"test_nested_parfor_push_call_vars", # 'float' object has no attribute 'dtype'
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"test_record_array_setitem_yield_array", # Record and string support
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"test_record_array_setitem", # Record and string support
68+
"test_multiple_call_getattr_object", # 'float' object has no attribute 'dtype'
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"test_prange_two_instances_same_reduction_var", # Non-trivial reduction
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"test_prange_conflicting_reduction_ops", # Conflicting reduction reduction check
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"test_ssa_false_reduction", # Frontend: object has no attribute 'name'
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"test_argument_alias_recarray_field", # Record support
73-
"test_mutable_list_param", # List support
74-
"test_signed_vs_unsigned_vec_asm", # Need to hook asm checks
75-
"test_unsigned_refusal_to_vectorize", # Need to hook asm checks
76-
"test_vectorizer_fastmath_asm", # Need to hook asm checks
77-
"test_kde_example", # List suport
78-
"test_prange27", # Literal return issue
79-
"test_simple01", # Empty shape not failed
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"test_kmeans", # List suport
81-
"test_simple14", # Slice shape mismatch
82-
"test_ndarray_fill", # array.fill
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"test_fuse_argmin_argmax_max_min", # numpy argmin, argmax
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"test_max", # max reduction
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"test_min", # min reduction
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"test_arange", # numpy.arange
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"test_pi", # np.random.ranf
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"test_simple20", # AssertionError not raised
89-
"test_simple24", # numpy.arange
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"test_0d_array", # numpy prod
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"test_argmin", # numpy.argmin
92-
"test_argmax", # numpy.argmax
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"test_simple07", # complex128 support
94-
"test_ndarray_fill2d", # array.fill
95-
"test_simple18", # np.linalg.svd
96-
"test_linspace", # np.linspace
97-
"test_std", # array.std
98-
"test_reshape_with_neg_one", # unsupported reshape
99-
"test_mvdot", # np.dot unsupported args
100-
"test_array_tuple_concat", # tuple concat
101-
"test_namedtuple1", # namedtuple support
102-
"test_0d_broadcast", # np.array
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"test_var", # array.var
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"test_reshape_with_too_many_neg_one", # unsupported reshape
105-
"test_namedtuple2", # namedtuple support
106-
"test_simple19", # np.dot unsupported args
107-
"test_no_hoisting_with_member_function_call", # set support
108-
"test_parfor_dtype_type", # dtype cast
109-
"test_tuple3", # numpy.arange
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"test_parfor_array_access3", # TypeError: unsupported operand type(s) for -: 'NoneType' and 'NoneType'
111-
"test_preparfor_canonicalize_kws", # array.argsort
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"test_parfor_array_access4", # np.dot unsupported args
113-
"test_tuple_concat_with_reverse_slice", # enumerate
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"test_reduce", # functools.reduce
115-
"test_two_d_array_reduction", # np.arange
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"test_tuple_concat", # tuple concat
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"test_two_d_array_reduction_with_float_sizes", # np.array
118-
"test_two_d_array_reduction_reuse", # np.arange
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"test_parfor_slice21", # unsupported reshape
120-
"test_parfor_array_access_lower_slice", # np.arange
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"test_size_assertion", # AssertionError not raised
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"test_parfor_slice18", # np.arange
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"test_simple12", # complex128
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"test_parfor_slice2", # AssertionError not raised
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"test_parfor_slice6", # array.transpose
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"test_parfor_slice22", # slice using array
127-
"test_simple13", # complex128
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"test_parfor_bitmask1", # setitem with mask
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"test_parfor_bitmask2", # setitem with mask
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"test_parfor_bitmask3", # setitem with mask
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"test_parfor_bitmask4", # setitem with mask
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"test_parfor_bitmask5", # setitem with mask
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"test_parfor_bitmask6", # setitem with mask
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"test_issue3169", # list support
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"test_issue3748", # unituple of literal dynamic getitem
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"test_issue5001", # list suport
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"test_issue5167", # np.full
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"test_issue6095_numpy_max", # operand #1 does not dominate this use
139-
"test_issue5065", # tuple unpack
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"test_no_state_change_in_gufunc_lowering_on_error", # custom pipeline
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"test_namedtuple3", # namedtuple
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"test_issue6102", # list support
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"test_oversized_tuple_as_arg_to_kernel", # UnsupportedParforsError not raised
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"test_issue5942_2", # invalid result
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"test_reshape_with_large_neg", # unsupported reshape
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"test_parfor_ufunc_typing", # np.isinf
147-
"test_issue_5098", # list support and more
148-
"test_parfor_slice27", # Literal return issue
149-
"test_ufunc_expr", # np.bitwise_and(
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"test_parfor_generate_fuse", # operand #0 does not dominate this use
151-
"test_parfor_slice7", # array.transpose
152-
"test_one_d_array_reduction", # np.array
71+
"test_ssa_false_reduction", # Frontend: object has no attribute 'name'
72+
"test_argument_alias_recarray_field", # Record support
73+
"test_mutable_list_param", # List support
74+
"test_signed_vs_unsigned_vec_asm", # Need to hook asm checks
75+
"test_unsigned_refusal_to_vectorize", # Need to hook asm checks
76+
"test_vectorizer_fastmath_asm", # Need to hook asm checks
77+
"test_kde_example", # List suport
78+
"test_prange27", # Literal return issue
79+
"test_simple01", # Empty shape not failed
80+
"test_kmeans", # List suport
81+
"test_simple14", # Slice shape mismatch
82+
"test_ndarray_fill", # array.fill
83+
"test_fuse_argmin_argmax_max_min", # numpy argmin, argmax
84+
"test_max", # max reduction
85+
"test_min", # min reduction
86+
"test_arange", # numpy.arange
87+
"test_pi", # np.random.ranf
88+
"test_simple20", # AssertionError not raised
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"test_simple24", # numpy.arange
90+
"test_0d_array", # numpy prod
91+
"test_argmin", # numpy.argmin
92+
"test_argmax", # numpy.argmax
93+
"test_simple07", # complex128 support
94+
"test_ndarray_fill2d", # array.fill
95+
"test_simple18", # np.linalg.svd
96+
"test_linspace", # np.linspace
97+
"test_std", # array.std
98+
"test_reshape_with_neg_one", # unsupported reshape
99+
"test_mvdot", # np.dot unsupported args
100+
"test_array_tuple_concat", # tuple concat
101+
"test_namedtuple1", # namedtuple support
102+
"test_0d_broadcast", # np.array
103+
"test_var", # array.var
104+
"test_reshape_with_too_many_neg_one", # unsupported reshape
105+
"test_namedtuple2", # namedtuple support
106+
"test_simple19", # np.dot unsupported args
107+
"test_no_hoisting_with_member_function_call", # set support
108+
"test_parfor_dtype_type", # dtype cast
109+
"test_tuple3", # numpy.arange
110+
"test_parfor_array_access3", # TypeError: unsupported operand type(s) for -: 'NoneType' and 'NoneType'
111+
"test_preparfor_canonicalize_kws", # array.argsort
112+
"test_parfor_array_access4", # np.dot unsupported args
113+
"test_tuple_concat_with_reverse_slice", # enumerate
114+
"test_reduce", # functools.reduce
115+
"test_two_d_array_reduction", # np.arange
116+
"test_tuple_concat", # tuple concat
117+
"test_two_d_array_reduction_with_float_sizes", # np.array
118+
"test_two_d_array_reduction_reuse", # np.arange
119+
"test_parfor_slice21", # unsupported reshape
120+
"test_parfor_array_access_lower_slice", # np.arange
121+
"test_size_assertion", # AssertionError not raised
122+
"test_parfor_slice18", # np.arange
123+
"test_simple12", # complex128
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"test_parfor_slice2", # AssertionError not raised
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"test_parfor_slice6", # array.transpose
126+
"test_parfor_slice22", # slice using array
127+
"test_simple13", # complex128
128+
"test_parfor_bitmask1", # setitem with mask
129+
"test_parfor_bitmask2", # setitem with mask
130+
"test_parfor_bitmask3", # setitem with mask
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"test_parfor_bitmask4", # setitem with mask
132+
"test_parfor_bitmask5", # setitem with mask
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"test_parfor_bitmask6", # setitem with mask
134+
"test_issue3169", # list support
135+
"test_issue3748", # unituple of literal dynamic getitem
136+
"test_issue5001", # list suport
137+
"test_issue5167", # np.full
138+
"test_issue6095_numpy_max", # operand #1 does not dominate this use
139+
"test_issue5065", # tuple unpack
140+
"test_no_state_change_in_gufunc_lowering_on_error", # custom pipeline
141+
"test_namedtuple3", # namedtuple
142+
"test_issue6102", # list support
143+
"test_oversized_tuple_as_arg_to_kernel", # UnsupportedParforsError not raised
144+
"test_issue5942_2", # invalid result
145+
"test_reshape_with_large_neg", # unsupported reshape
146+
"test_parfor_ufunc_typing", # np.isinf
147+
"test_issue_5098", # list support and more
148+
"test_parfor_slice27", # Literal return issue
149+
"test_ufunc_expr", # np.bitwise_and(
150+
"test_parfor_generate_fuse", # operand #0 does not dominate this use
151+
"test_parfor_slice7", # array.transpose
152+
"test_one_d_array_reduction", # np.array
153153
}
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skip_tests = {}

‎numba_dpcomp/numba_dpcomp/mlir/tests/test_numpy.py

Lines changed: 1 addition & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -89,6 +89,7 @@ def _vectorize_reference(func, arg1):
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"lambda a: np.tanh(a)",
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"lambda a: np.abs(a)",
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"lambda a: np.absolute(a)",
92+
"lambda a: np.negative(a)",
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"lambda a: a.size",
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"lambda a: a.T",
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"lambda a: a.T.T",

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