| /third_party/mindspore/tests/ut/python/ops/ |
| D | test_math_ops_check.py | 85 …'desc_inputs': [Tensor(np.ones([3, 5]).astype(np.float32)), Tensor(np.ones([3, 4]).astype(np.float…
91 'desc_inputs': [Tensor(np.ones([1]).astype(np.bool_), mstype.bool_)],
97 'desc_inputs': [Tensor(np.ones([1]).astype(np.bool_), mstype.bool_)],
104 'desc_inputs': [Tensor(np.ones([2, 3, 5]).astype(np.float32))],
110 'desc_inputs': [Tensor(np.ones([2, 3, 5]).astype(np.float32))],
117 'desc_inputs': [Tensor(np.ones([2, 3, 5]).astype(np.float32))],
123 'desc_inputs': [Tensor(np.ones([2, 3, 5]).astype(np.float32))],
130 'desc_inputs': [Tensor(np.ones([2, 3, 5]).astype(np.bool_))],
136 'desc_inputs': [Tensor(np.ones([2, 3, 5]).astype(np.bool_))],
143 'desc_inputs': [Tensor(np.ones([2, 3, 5]).astype(np.float32))],
[all …]
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| D | test_nn_ops_check.py | 67 'desc_inputs': [Tensor(np.ones([3, 4]).astype(np.float32))],
72 'desc_inputs': [Tensor(np.ones([3, 4]).astype(np.float32))],
83 'desc_inputs': [Tensor(np.ones([3, 4]).astype(np.float32))],
94 'desc_inputs': [Tensor(np.ones([3, 4]).astype(np.bool_))],
105 'desc_inputs': [Tensor(np.ones([3, 4]).astype(np.int32))],
116 'desc_inputs': [Tensor(np.ones([3, 4]).astype(np.int32))],
127 'desc_inputs': [Tensor(np.ones([3, 4]).astype(np.int32))],
144 …'desc_inputs': [Tensor(np.ones([5, 3]).astype(np.float32)), Tensor(np.ones([5, 3]).astype(np.float…
145 Tensor(np.ones([5, 3]).astype(np.float32)), None, None],
150 …'desc_inputs': [Tensor(np.ones([5, 3]).astype(np.float32)), Tensor(np.ones([3]).astype(np.float32)…
[all …]
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| D | test_ops_check.py | 65 inp = Tensor(np.ones([1, 1, 32, 32]).astype(np.float32))
84 inp = Tensor(np.ones([1, 1, 32, 32]).astype(np.float32))
126 'desc_inputs': [Tensor(np.ones(shape=[1, 1, 6, 5]).astype(np.float32))]}),
129 'desc_inputs': [Tensor(np.ones(shape=[1, 1, 6, 5]).astype(np.float32))]}),
132 'desc_inputs': [Tensor(np.ones(shape=[1, 1, 6, 5]).astype(np.float32))]}),
135 'desc_inputs': [Tensor(np.ones(shape=[1, 1, 6, 5]).astype(np.float32))]}),
137 … 'block': nn.Conv2d(1, 6, 5, has_bias=True, bias_init=Tensor(np.ones([6]).astype(np.float32))),
138 'desc_inputs': [Tensor(np.ones(shape=[1, 1, 6, 5]).astype(np.float32))]}),
141 'desc_inputs': [Tensor(np.ones(shape=[1, 1, 6, 5]).astype(np.float32))]}),
144 'desc_inputs': [Tensor(np.ones(shape=[1, 1, 6, 5]).astype(np.float32))]}),
[all …]
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| D | test_multitype_ops.py | 46 self.t1 = Tensor(np.ones([2, 1, 2, 2], np.float32))
59 self.t1 = Tensor(np.ones([2, 1, 2, 2], np.float32))
72 self.t1 = Tensor(np.ones([2, 1, 2, 2], np.float32))
84 self.t1 = Tensor(np.ones([2, 1, 2, 2], np.float32))
100 self.t1 = Tensor(np.ones([2, 1, 2, 2], np.float32))
116 self.t1 = Tensor(np.ones([2, 1, 2, 2], np.float32))
154 self.x1 = Tensor(np.ones([2, 1, 2,], np.float32))
155 self.x2 = Tensor(np.ones([2, 1, 2, 2], np.float32))
166 self.x1 = Tensor(np.ones([1, 2, 2, 1], np.float32))
167 self.x2 = Tensor(np.ones([2, 1, 2, 2], np.float32))
[all …]
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| /third_party/skia/third_party/externals/icu/source/data/rbnf/ |
| D | pl.txt | 60 "1000: tysi\u0105c[ >%%spellout-cardinal-masculine-genitive-ones>];",
61 …(cardinal,few{tysi\u0105ce}other{tysi\u0119cy})$[ >%%spellout-cardinal-masculine-genitive-ones>];",
64 "1000000000: miliard[ >%%spellout-cardinal-masculine-genitive-ones>];",
66 "1000000000000: bilion[ >%%spellout-cardinal-masculine-genitive-ones>];",
68 "1000000000000000: biliard[ >%%spellout-cardinal-masculine-genitive-ones>];",
94 "20: <%%spellout-cardinal-tens<[ >%%spellout-cardinal-feminine-ones>];",
95 "100: sto[ >%%spellout-cardinal-feminine-ones>];",
96 "200: dwie\u015Bcie[ >%%spellout-cardinal-feminine-ones>];",
97 "300: <%spellout-cardinal-feminine<sta[ >%%spellout-cardinal-feminine-ones>];",
98 "500: <%spellout-cardinal-feminine<set[ >%%spellout-cardinal-feminine-ones>];",
[all …]
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| /third_party/flutter/skia/third_party/externals/icu/source/data/rbnf/ |
| D | pl.txt | 59 "1000: tysi\u0105c[ >%%spellout-cardinal-masculine-genitive-ones>];",
60 …(cardinal,few{tysi\u0105ce}other{tysi\u0119cy})$[ >%%spellout-cardinal-masculine-genitive-ones>];",
63 "1000000000: miliard[ >%%spellout-cardinal-masculine-genitive-ones>];",
65 "1000000000000: bilion[ >%%spellout-cardinal-masculine-genitive-ones>];",
67 "1000000000000000: biliard[ >%%spellout-cardinal-masculine-genitive-ones>];",
93 "20: <%%spellout-cardinal-tens<[ >%%spellout-cardinal-feminine-ones>];",
94 "100: sto[ >%%spellout-cardinal-feminine-ones>];",
95 "200: dwie\u015Bcie[ >%%spellout-cardinal-feminine-ones>];",
96 "300: <%spellout-cardinal-feminine<sta[ >%%spellout-cardinal-feminine-ones>];",
97 "500: <%spellout-cardinal-feminine<set[ >%%spellout-cardinal-feminine-ones>];",
[all …]
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| /third_party/icu/icu4c/source/data/rbnf/ |
| D | pl.txt | 60 "1000: tysi\u0105c[ >%%spellout-cardinal-masculine-genitive-ones>];",
61 …(cardinal,few{tysi\u0105ce}other{tysi\u0119cy})$[ >%%spellout-cardinal-masculine-genitive-ones>];",
64 "1000000000: miliard[ >%%spellout-cardinal-masculine-genitive-ones>];",
66 "1000000000000: bilion[ >%%spellout-cardinal-masculine-genitive-ones>];",
68 "1000000000000000: biliard[ >%%spellout-cardinal-masculine-genitive-ones>];",
94 "20: <%%spellout-cardinal-tens<[ >%%spellout-cardinal-feminine-ones>];",
95 "100: sto[ >%%spellout-cardinal-feminine-ones>];",
96 "200: dwie\u015Bcie[ >%%spellout-cardinal-feminine-ones>];",
97 "300: <%spellout-cardinal-feminine<sta[ >%%spellout-cardinal-feminine-ones>];",
98 "500: <%spellout-cardinal-feminine<set[ >%%spellout-cardinal-feminine-ones>];",
[all …]
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| /third_party/mindspore/tests/ut/python/nn/ |
| D | test_transformer.py | 34 encoder_input_value = Tensor(np.ones((2, 20, 64)), dtype.float32)
35 encoder_input_mask = Tensor(np.ones((2, 20, 20)), dtype.float16)
51 encoder_input_value = Tensor(np.ones((2, 20, 64)), dtype.float32)
52 encoder_input_mask = Tensor(np.ones((2, 20, 20)), dtype.float16)
67 encoder_input_value = Tensor(np.ones((2, 20, 64)), dtype.float32)
68 encoder_input_mask = Tensor(np.ones((2, 20, 20)), dtype.float16)
83 encoder_input_value = Tensor(np.ones((2, 20, 64)), dtype.float32)
84 encoder_input_mask = Tensor(np.ones((2, 20, 20)), dtype.float16)
98 encoder_input_value = Tensor(np.ones((2, 20, 64)), dtype.float32)
99 encoder_input_mask = Tensor(np.ones((2, 20, 20)), dtype.float16)
[all …]
|
| /third_party/mesa3d/src/util/ |
| D | u_atomic_test.c | 46 #define test_atomic_assign(type, ones) \ argument
50 p_atomic_set(&v, ones); \
51 assert(v == ones && "p_atomic_set"); \
54 assert(r == ones && "p_atomic_read"); \
56 v = ones; \
58 assert(v == ones && "p_atomic_cmpxchg"); \
59 assert(r == ones && "p_atomic_cmpxchg"); \
60 r = p_atomic_cmpxchg(&v, ones, 0); \
62 assert(r == ones && "p_atomic_cmpxchg"); \
69 #define test_atomic_8bits(type, ones) \ argument
[all …]
|
| /third_party/mindspore/tests/ut/python/pynative_mode/ |
| D | test_bprop.py | 47 grads = bprop(Net(), Tensor(np.ones([2, 3]).astype(np.float32)),
48 Tensor(np.ones([3, 2]).astype(np.float32)), wrt=['inputs'])
53 …grads = bprop(Net(), Tensor(np.ones([2, 3]).astype(np.float32)), Tensor(np.ones([3, 2]).astype(np.…
54 grads_wrt_outputs=(Tensor(np.ones([2, 3]).astype(np.float32)),
55 Tensor(np.ones([2, 2]).astype(np.float32))), wrt=['inputs'])
60 …grads = bprop(Net(), Tensor(np.ones([2, 3]).astype(np.float32)), Tensor(np.ones([3, 2]).astype(np.…
61 grads_wrt_outputs=(Tensor(np.ones([2, 3]).astype(np.float32)),
62 Tensor(np.ones([2, 2]).astype(np.float32))))
68 …grads = bprop(net, Tensor(np.ones([2, 3]).astype(np.float32)), Tensor(np.ones([3, 2]).astype(np.fl…
69 grads_wrt_outputs=(Tensor(np.ones([2, 3]).astype(np.float32)),
[all …]
|
| D | test_kw_and_kwarg.py | 44 x = Tensor(np.ones([3, 4, 5], np.float32))
46 z = Tensor(np.ones([3, 4, 5], np.float64))
52 assert (ret.asnumpy() == np.ones([3, 4, 5], np.float64) * 5).all()
73 x = Tensor(np.ones([1, 2, 3], np.int32))
74 y = Tensor(np.ones([1, 2, 3], np.float32))
75 z = Tensor(np.ones([1, 2, 3], np.float64))
76 u = Tensor(np.ones([1, 2, 3], np.float16))
77 v = Tensor(np.ones([1, 2, 3], np.int32))
78 w = Tensor(np.ones([1, 2, 3], np.float64))
79 sens = Tensor(np.ones([1, 2, 3], np.float64))
[all …]
|
| /third_party/mindspore/tests/ut/python/pynative_mode/nn/ |
| D | test_tensor_operation.py | 22 x = Tensor(np.ones([3, 3, 3, 3]).astype(np.float32))
23 y = Tensor(np.ones([3, 3, 3, 3]).astype(np.float32))
29 x = Tensor(np.ones([3, 3, 3, 3]).astype(np.float32))
30 y = Tensor(np.ones([3, 3, 3, 3]).astype(np.float32))
36 x = Tensor(np.ones([3, 3, 3, 3]).astype(np.float32))
37 y = Tensor(np.ones([3, 3, 3, 3]).astype(np.float32))
45 x = Tensor(np.ones([3, 3, 3, 3]).astype(np.float32))
46 y = Tensor(np.ones([3, 3, 3, 3]).astype(np.float32))
54 x = Tensor(np.ones([3, 3, 3, 3]).astype(np.float32))
55 y = Tensor(np.ones([3, 3, 3, 3]).astype(np.float32))
[all …]
|
| D | test_parameter_operation.py | 27 x = Parameter(Tensor(np.ones((3, 3)).astype(np.float32)), name="ref")
28 y = Tensor(np.ones((3, 3)).astype(np.float32))
29 expect = np.ones((3, 3)).astype(np.float32) * 2
34 x = Parameter(Tensor(np.ones((3, 3)).astype(np.float32) * 2), name="ref")
35 y = Tensor(np.ones((3, 3)).astype(np.float32))
36 expect = np.ones((3, 3)).astype(np.float32)
41 x = Parameter(Tensor(np.ones((3, 3)).astype(np.float32) * 2), name="ref")
42 y = Tensor(np.ones((3, 3)).astype(np.float32) * 2)
43 expect = np.ones((3, 3)).astype(np.float32) * 4
48 x = Parameter(Tensor(np.ones((3, 3)).astype(np.float32) * 8), name="ref")
[all …]
|
| /third_party/mindspore/tests/ut/python/ir/ |
| D | test_tensor_py.py | 34 nparray = np.ones([2, 2], np.float32)
42 a = ms.Tensor(np.ones([3, 3], np.float32))
43 b = ms.Tensor(np.ones([3, 3], np.float32))
49 a = ms.Tensor(np.ones([2, 3]))
50 b = ms.Tensor(np.ones([2, 3]))
56 a = ms.Tensor(np.ones([3, 3]))
57 b = ms.Tensor(np.ones([3, 3]))
62 arr = np.ones((1, 6))
68 arr = np.ones((1, 6))
74 arr = np.ones((1, 2, 3))
[all …]
|
| /third_party/mindspore/tests/ut/python/parallel/ |
| D | test_gather_v2.py | 56 self.index = Tensor(np.ones(shape), dtype=ms.int32)
72 x = Tensor(np.ones([64, 64]), dtype=ms.float32)
73 y = Tensor(np.ones([64, 64, 64]), dtype=ms.float32)
85 x = Tensor(np.ones([64, 64]), dtype=ms.float32)
86 y = Tensor(np.ones([64, 64, 64]), dtype=ms.float32)
98 x = Tensor(np.ones([64, 64]), dtype=ms.float32)
99 y = Tensor(np.ones([64, 64, 64]), dtype=ms.float32)
111 x = Tensor(np.ones([64, 64]), dtype=ms.float32)
112 y = Tensor(np.ones([64, 64, 64]), dtype=ms.float32)
124 x = Tensor(np.ones([64, 32]), dtype=ms.float32)
[all …]
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| D | test_sparse_gather_v2.py | 57 self.index = Tensor(np.ones(shape), dtype=ms.int32)
73 x = Tensor(np.ones([64, 64]), dtype=ms.float32)
74 y = Tensor(np.ones([64, 64, 64]), dtype=ms.float32)
86 x = Tensor(np.ones([64, 64]), dtype=ms.float32)
87 y = Tensor(np.ones([64, 64, 64]), dtype=ms.float32)
99 x = Tensor(np.ones([64, 64]), dtype=ms.float32)
100 y = Tensor(np.ones([64, 64, 64]), dtype=ms.float32)
112 x = Tensor(np.ones([64, 64]), dtype=ms.float32)
113 y = Tensor(np.ones([64, 64, 64]), dtype=ms.float32)
125 x = Tensor(np.ones([64, 32]), dtype=ms.float32)
[all …]
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| D | test_comparison_function_info.py | 73 x = Tensor(np.ones([128, 32]), dtype=ms.float32)
74 y = Tensor(np.ones([32, 64]), dtype=ms.float32)
75 b = Tensor(np.ones([128, 64]), dtype=ms.float32)
96 x = Tensor(np.ones([128, 32]), dtype=ms.float32)
97 y = Tensor(np.ones([32, 64]), dtype=ms.float32)
98 b = Tensor(np.ones([128, 64]), dtype=ms.float32)
120 x = Tensor(np.ones([64, 32]), dtype=ms.float32)
121 y = Tensor(np.ones([32, 64]), dtype=ms.float32)
122 b = Tensor(np.ones([64, 64]), dtype=ms.float32)
144 x = Tensor(np.ones([64, 32]), dtype=ms.float32)
[all …]
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| D | test_unsortedsegmentsum.py | 78 x = Tensor(np.ones(8), ms.float32)
79 y = Tensor(np.ones(8), ms.int32)
88 x = Tensor(np.ones(8), ms.float32)
89 y = Tensor(np.ones(8), ms.int32)
98 x = Tensor(np.ones((4, 8)), ms.float32)
108 x = Tensor(np.ones((4, 4, 8)), ms.float32)
109 y = Tensor(np.ones((4, 4)), ms.int32)
118 x = Tensor(np.ones((4, 4, 8)), ms.float32)
119 y = Tensor(np.ones((4, 4)), ms.int32)
129 x = Tensor(np.ones((4, 8)), ms.float32)
[all …]
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| D | test_arithmetic.py | 73 x = Tensor(np.ones([64, 32]), dtype=ms.float32)
74 y = Tensor(np.ones([32, 64]), dtype=ms.float32)
75 b = Tensor(np.ones([64, 64]), dtype=ms.float32)
97 x = Tensor(np.ones([64, 32]), dtype=ms.float32)
98 y = Tensor(np.ones([32, 64]), dtype=ms.float32)
99 b = Tensor(np.ones([64, 64]), dtype=ms.float32)
121 x = Tensor(np.ones([64, 32]), dtype=ms.float32)
122 y = Tensor(np.ones([32, 64]), dtype=ms.float32)
123 b = Tensor(np.ones([64, 64]), dtype=ms.float32)
144 x = Tensor(np.ones([64, 32]), dtype=ms.float32)
[all …]
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| D | test_parallel_transformer.py | 109 encoder_input_value = Tensor(np.ones((2, 20, 64)), mstype.float32)
110 encoder_input_mask = Tensor(np.ones((2, 20, 20)), mstype.float16)
111 decoder_input_value = Tensor(np.ones((2, 10, 64)), mstype.float32)
112 decoder_input_mask = Tensor(np.ones((2, 10, 10)), mstype.float16)
113 memory_mask = Tensor(np.ones((2, 10, 20)), mstype.float16)
117 label = Tensor(np.ones((2 * seq,)), mstype.int32)
118 input_mask = Tensor(np.ones((2 * seq,)), mstype.float32)
145 encoder_input_value = Tensor(np.ones((2, 20, 64)), mstype.float32)
146 encoder_input_mask = Tensor(np.ones((2, 20, 20)), mstype.float16)
147 decoder_input_value = Tensor(np.ones((2, 10, 64)), mstype.float32)
[all …]
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| D | test_unsortedsegmentmax.py | 79 x = Tensor(np.ones(8), ms.float32)
80 y = Tensor(np.ones(8), ms.int32)
89 x = Tensor(np.ones(8), ms.float32)
90 y = Tensor(np.ones(8), ms.int32)
99 x = Tensor(np.ones((4, 8)), ms.float32)
109 x = Tensor(np.ones((4, 8)), ms.float32)
110 y = Tensor(np.ones(4), ms.int32)
119 x = Tensor(np.ones((4, 8, 8)), ms.float32)
120 y = Tensor(np.ones(4), ms.int32)
129 x = Tensor(np.ones((4, 8)), ms.float32)
[all …]
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| D | test_unsortedsegmentmin.py | 79 x = Tensor(np.ones(8), ms.float32)
80 y = Tensor(np.ones(8), ms.int32)
89 x = Tensor(np.ones(8), ms.float32)
90 y = Tensor(np.ones(8), ms.int32)
99 x = Tensor(np.ones((4, 8)), ms.float32)
109 x = Tensor(np.ones((4, 8)), ms.float32)
110 y = Tensor(np.ones(4), ms.int32)
119 x = Tensor(np.ones((4, 8, 8)), ms.float32)
120 y = Tensor(np.ones(4), ms.int32)
129 x = Tensor(np.ones((4, 8)), ms.float32)
[all …]
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| /third_party/mindspore/tests/st/ops/gpu/ |
| D | test_resize_bilinear_op.py | 54 error = np.ones(shape=[9, 9]) * 1.0e-6
62 error = np.ones(shape=[1, 1]) * 1.0e-6
71 error = np.ones(shape=[1, 6]) * 1.0e-6
85 error = np.ones(shape=[6, 1]) * 1.0e-6
94 error = np.ones(shape=[1, 3]) * 1.0e-6
107 error = np.ones(shape=[6, 3]) * 1.0e-6
118 error = np.ones(shape=[3, 1]) * 1.0e-6
128 error = np.ones(shape=[3, 6]) * 1.0e-6
139 error = np.ones(shape=[3, 3]) * 1.0e-6
167 error = np.ones(shape=[9, 9]) * 1.0e-6
[all …]
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| /third_party/mindspore/tests/st/ops/cpu/ |
| D | test_resize_bilinear_op.py | 50 error = np.ones(shape=[9, 9]) * 1.0e-6
58 error = np.ones(shape=[1, 1]) * 1.0e-6
67 error = np.ones(shape=[1, 6]) * 1.0e-6
81 error = np.ones(shape=[6, 1]) * 1.0e-6
90 error = np.ones(shape=[1, 3]) * 1.0e-6
103 error = np.ones(shape=[6, 3]) * 1.0e-6
114 error = np.ones(shape=[3, 1]) * 1.0e-6
124 error = np.ones(shape=[3, 6]) * 1.0e-6
135 error = np.ones(shape=[3, 3]) * 1.0e-6
160 error = np.ones(shape=[9, 9]) * 1.0e-6
[all …]
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| /third_party/mindspore/tests/ut/python/pipeline/parse/ |
| D | test_ms_function_pass_non_tensor_inputs.py | 40 tensor_x = Tensor(np.ones((2, 3, 4), np.float32))
41 tensor_y = Tensor(np.ones((2, 3, 4), np.float32) * 2)
42 p = (Tensor(np.ones((2, 3, 4), np.float32) * 3), Tensor(np.ones((2, 3, 4), np.float32) * 4))
43 q = [Tensor(np.ones((2, 3, 4), np.float32) * 5), Tensor(np.ones((2, 3, 4), np.float32) * 6)]
44 …w = {"x": Tensor(np.ones((2, 3, 4), np.float32) * 7), "y": Tensor(np.ones((2, 3, 4), np.float32) *…
56 tensor_x = Tensor(np.ones((2, 3, 4, 5), np.float32))
58 tensor_y = Tensor(np.ones((4, 5), np.float32) * 2)
|