Home
last modified time | relevance | path

Searched refs:ones (Results 1 – 25 of 1021) sorted by relevance

12345678910>>...41

/external/icu/icu4c/source/data/rbnf/
Dpl.txt59 "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 …]
Dlo.txt29 "10: \u0EAA\u0EB4\u0E9A[\u200B>%%alt-ones>];",
30 "20: \u0E8A\u0EB2\u0EA7[\u200B>%%alt-ones>];",
31 "30: <<\u200B\u0EAA\u0EB4\u0E9A[\u200B>%%alt-ones>];",
38 "%%alt-ones:",
Dth.txt29 "10: \u0E2A\u0E34\u0E1A[\u200B>%%alt-ones>];",
30 "20: \u0E22\u0E35\u0E48\u200B\u0E2A\u0E34\u0E1A[\u200B>%%alt-ones>];",
31 "30: <<\u200B\u0E2A\u0E34\u0E1A[\u200B>%%alt-ones>];",
38 "%%alt-ones:",
/external/mesa3d/src/util/
Du_atomic_test.c46 #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 …]
/external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/
Dgenerator_io_test.py36 'a': np.ones(1) * index,
37 'b': np.ones(1) * index + 32,
38 'label': np.ones(1) * index - 32
69 yield {'a': np.ones(1) * index}
94 'a': np.ones(1) * index,
95 'b': np.ones(1) * index + 32,
96 'label': np.ones(1) * index - 32,
97 'label2': np.ones(1) * index - 64,
132 'a': np.ones((10, 10)) * index,
133 'b': np.ones((5, 5)) * index + 32,
[all …]
/external/tensorflow/tensorflow/python/estimator/inputs/queues/
Dfeeding_functions_test.py294 a = (np.ones(shape=[32, 32], dtype=np.int32).tolist() +
295 np.ones(shape=[32, 36], dtype=np.int32).tolist())
296 actual = np.ones(shape=[64, 36], dtype=np.int32)
298 expected = np.ones(shape=[64, 36], dtype=np.int32)
303 a = (np.ones(shape=[8, 8, 8, 8, 32], dtype=np.int32).tolist() +
304 np.ones(shape=[8, 8, 8, 8, 36], dtype=np.int32).tolist())
305 actual = np.ones(shape=[16, 8, 8, 8, 36], dtype=np.int32)
307 expected = np.ones(shape=[16, 8, 8, 8, 36], dtype=np.int32)
313 a = (np.ones(shape=[32, 32], dtype=np.int32).tolist() +
314 np.ones(shape=[32, 36], dtype=np.int32).tolist())
[all …]
/external/libvpx/libvpx/vpx_dsp/mips/
Dloopfilter_masks_dspr2.h35 uint32_t ones = 0xFFFFFFFF; in filter_hev_mask_dspr2() local
122 [ones] "r"(ones), [flimit] "r"(flimit)); in filter_hev_mask_dspr2()
134 uint32_t ones = 0xFFFFFFFF; in filter_hev_mask_flatmask4_dspr2() local
233 [thresh] "r"(thresh), [flat_thresh] "r"(flat_thresh), [ones] "r"(ones)); in filter_hev_mask_flatmask4_dspr2()
262 [ones] "r"(ones), [flimit] "r"(flimit)); in filter_hev_mask_flatmask4_dspr2()
273 uint32_t ones = 0xFFFFFFFF; in flatmask5() local
346 [flat_thresh] "r"(flat_thresh), [ones] "r"(ones)); in flatmask5()
/external/tensorflow/tensorflow/python/kernel_tests/
Dreduction_ops_test_big.py52 arr_ = np.ones([4097, 4097], dtype=np.float32)
62 col_sum = np.ones([size_y], dtype=np.float32) * size_x
63 row_sum = np.ones([size_x], dtype=np.float32) * size_y
64 full_sum = np.ones([], dtype=np.float32) * size_x * size_y
76 arr_ = np.ones([130, 130, 130], dtype=np.float32)
81 sum_y = np.ones([size_x, size_z], dtype=np.float32)
82 sum_xz = np.ones([size_y], dtype=np.float32)
138 arr_ = np.ones([4097, 4097], dtype=np.bool)
148 col_sum = np.ones([size_y], dtype=np.bool)
149 row_sum = np.ones([size_x], dtype=np.bool)
[all …]
Dmetrics_test.py170 return np.reshape(np.cumsum(np.ones(shape)), newshape=shape)
179 metrics.mean(array_ops.ones([4, 3]))
185 array_ops.ones([4, 3]), metrics_collections=[my_collection_name])
191 array_ops.ones([4, 3]), updates_collections=[my_collection_name])
237 metrics.mean(values, weights=np.ones((1, 1, 1))),
238 metrics.mean(values, weights=np.ones((1, 1, 1, 1))),
239 metrics.mean(values, weights=np.ones((1, 1, 1, 1, 1))),
240 metrics.mean(values, weights=np.ones((1, 1, 4))),
241 metrics.mean(values, weights=np.ones((1, 1, 4, 1))),
242 metrics.mean(values, weights=np.ones((1, 2, 1))),
[all …]
Ddense_update_ops_no_tsan_test.py58 ones = np.ones((1024, 1024)).astype(np.float32)
59 self.assertTrue((vals >= ones).all())
60 self.assertTrue((vals <= ones * 20).all())
118 ones = np.ones((1024, 1024)).astype(np.float32)
119 self.assertAllEqual(vals, ones * 20)
150 self.assertAllEqual(vals, np.ones([1024, 1024]) * vals[0, 0])
/external/tensorflow/tensorflow/python/keras/_impl/keras/
Dmodel_subclassing_test.py185 x = np.ones((num_samples, input_dim))
205 x1 = np.ones((num_samples, input_dim))
206 x2 = np.ones((num_samples, input_dim))
225 x = array_ops.ones((num_samples, input_dim))
243 x1 = array_ops.ones((num_samples, input_dim))
244 x2 = array_ops.ones((num_samples, input_dim))
263 x1 = np.ones((num_samples, input_dim))
264 x2 = np.ones((num_samples, input_dim))
285 x1 = np.ones((num_samples, input_dim))
286 x2 = np.ones((num_samples, input_dim))
[all …]
/external/tensorflow/tensorflow/contrib/boosted_trees/python/utils/
Dlosses_test.py38 labels_positive = array_ops.ones([10, 1], dtypes.float32)
39 weights = array_ops.ones([10, 1], dtypes.float32)
61 self.assertAllClose(np.exp(np.ones([2, 1])), pos_loss[:2], atol=1e-4)
62 self.assertAllClose(np.exp(-np.ones([2, 1])), neg_loss[:2], atol=1e-4)
67 self.assertAllClose(np.exp(-np.ones([4, 1])), pos_loss[6:10], atol=1e-4)
68 self.assertAllClose(np.exp(np.ones([4, 1])), neg_loss[6:10], atol=1e-4)
83 weights = array_ops.ones([5, 1], dtypes.float32)
/external/tensorflow/tensorflow/python/keras/_impl/keras/layers/
Dgru_test.py101 out1 = model.predict(np.ones((num_samples, timesteps)))
106 np.ones((num_samples, timesteps)), np.ones((num_samples, units)))
107 out2 = model.predict(np.ones((num_samples, timesteps)))
115 out3 = model.predict(np.ones((num_samples, timesteps)))
120 out4 = model.predict(np.ones((num_samples, timesteps)))
124 out5 = model.predict(np.ones((num_samples, timesteps)))
130 left_padded_input = np.ones((num_samples, timesteps))
137 right_padded_input = np.ones((num_samples, timesteps))
160 x = keras.backend.variable(np.ones((2, 3, 2)))
Dsimplernn_test.py101 out1 = model.predict(np.ones((num_samples, timesteps)))
106 np.ones((num_samples, timesteps)), np.ones((num_samples, units)))
107 out2 = model.predict(np.ones((num_samples, timesteps)))
115 out3 = model.predict(np.ones((num_samples, timesteps)))
120 out4 = model.predict(np.ones((num_samples, timesteps)))
124 out5 = model.predict(np.ones((num_samples, timesteps)))
130 left_padded_input = np.ones((num_samples, timesteps))
137 right_padded_input = np.ones((num_samples, timesteps))
160 x = keras.backend.variable(np.ones((2, 3, 2)))
Dconvolutional_recurrent.py486 ones = K.zeros_like(inputs)
487 ones = K.sum(ones, axis=1)
488 ones += 1
491 return K.dropout(ones, self.dropout)
494 K.in_train_phase(dropped_inputs, ones, training=training)
504 ones = K.zeros_like(inputs)
505 ones = K.sum(ones, axis=1)
506 ones = self.input_conv(ones, K.zeros(shape), padding=self.padding)
507 ones += 1.
510 return K.dropout(ones, self.recurrent_dropout)
[all …]
Dlstm_test.py117 out1 = model.predict(np.ones((num_samples, timesteps)))
122 np.ones((num_samples, timesteps)), np.ones((num_samples, units)))
123 out2 = model.predict(np.ones((num_samples, timesteps)))
131 out3 = model.predict(np.ones((num_samples, timesteps)))
136 out4 = model.predict(np.ones((num_samples, timesteps)))
140 out5 = model.predict(np.ones((num_samples, timesteps)))
146 left_padded_input = np.ones((num_samples, timesteps))
153 right_padded_input = np.ones((num_samples, timesteps))
175 x = keras.backend.variable(np.ones((2, 3, 2)))
286 values = [np.ones(shape) for shape in state_shapes]
[all …]
/external/tensorflow/tensorflow/contrib/metrics/python/ops/
Dmetric_ops_test.py165 metrics.streaming_mean(array_ops.ones([4, 3]))
171 array_ops.ones([4, 3]), metrics_collections=[my_collection_name])
177 array_ops.ones([4, 3]), updates_collections=[my_collection_name])
323 metrics.streaming_mean_tensor(array_ops.ones([4, 3]))
330 array_ops.ones([4, 3]), metrics_collections=[my_collection_name])
336 array_ops.ones([4, 3]), updates_collections=[my_collection_name])
487 predictions=array_ops.ones((10, 1)),
488 labels=array_ops.ones((10, 1)),
496 predictions=array_ops.ones((10, 1)),
497 labels=array_ops.ones((10, 1)),
[all …]
/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
Dvector_exponential_diag_test.py98 diag = np.ones([3])
122 loc=array_ops.ones([2, 3], dtype=dtypes.float32))
124 np.diag(np.ones([3], dtype=np.float32)),
128 loc=array_ops.ones([3], dtype=dtypes.float32),
142 loc=array_ops.ones([3], dtype=dtypes.float32),
160 np.ones([3], dtype=np.float32),
164 loc=array_ops.ones([3], dtype=dtypes.float32),
172 loc=array_ops.ones([3], dtype=dtypes.float32),
185 np.ones([3], dtype=np.float32),
Ddistribution_util_test.py68 scale_identity_multiplier * _matrix_diag(np.ones(
93 return scale_identity_multiplier * np.diag(np.ones(shape_hint))
225 scale = linear_operator_diag.LinearOperatorDiag(np.ones((5, 1, 3)))
231 scale = linear_operator_diag.LinearOperatorDiag(np.ones((5, 1, 3)))
245 feed_dict={diag: np.ones((5, 1, 3))})
251 diag = constant_op.constant(np.ones((5, 2, 3)))
270 feed_dict={diag: np.ones((5, 2, 3)), loc: np.zeros((2, 3))})
276 scale = linear_operator_diag.LinearOperatorDiag(np.ones((5, 1, 3)))
290 feed_dict={diag: np.ones((5, 1, 3))})
298 x = array_ops.ones((2, 1, 3))
[all …]
/external/tensorflow/tensorflow/contrib/kfac/python/kernel_tests/
Doptimizer_test.py53 inputs = array_ops.ones((2, 1)) * 2
54 weights_val = np.ones((1, 1), dtype=np.float32) * 3.
130 x = variable_scope.get_variable('x', initializer=array_ops.ones((2, 2)))
132 'y', initializer=array_ops.ones((2, 2)) * 2)
133 vec1 = array_ops.ones((2, 2)) * 3
134 vec2 = array_ops.ones((2, 2)) * 4
165 inputs = array_ops.ones((2, 1)) * 2
166 weights_val = np.ones((1, 1), dtype=np.float32) * 3.
/external/tensorflow/tensorflow/contrib/model_pruning/python/layers/
Dlayers_test.py35 input_tensor = array_ops.ones((self.height, self.width, 3))
40 input_tensor = array_ops.ones((8, 8, self.height, self.width, 3))
47 input_tensor = array_ops.ones((8, self.height, self.width, input_depth))
67 input_tensor = array_ops.ones((8, self.height, self.width, base_depth))
96 input_tensor = array_ops.ones((5, input_depth))
115 input_tensor = array_ops.ones((8, base_depth))
/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/
Dperiodic.py49 return self.transition_to_powers(array_ops.ones([], dtype=dtypes.int32))
57 array_ops.ones([1], dtype=self.dtype),
79 array_ops.ones([array_ops.rank(powers)], dtype=dtypes.int32),
85 negative_row_indicator = array_ops.where(is_row_negative, -array_ops.ones(
95 array_ops.ones(
144 array_ops.ones([array_ops.rank(num_steps)], dtype=dtypes.int32),
192 array_ops.ones([1], dtype=self.dtype), array_ops.zeros(
306 array_ops.ones(
381 array_ops.ones(
/external/tensorflow/tensorflow/python/ops/distributions/
Dstudent_t.py227 df = self.df * array_ops.ones(self.batch_shape_tensor(), dtype=self.dtype)
262 v = array_ops.ones(self.batch_shape_tensor(),
278 mean = self.loc * array_ops.ones(self.batch_shape_tensor(),
285 array_ops.ones(self.batch_shape_tensor(), dtype=self.dtype)),
292 array_ops.ones([], dtype=self.dtype),
314 var = (array_ops.ones(self.batch_shape_tensor(), dtype=self.dtype) *
328 array_ops.ones(self.batch_shape_tensor(), dtype=self.dtype)),
335 array_ops.ones([], dtype=self.dtype),
/external/libvpx/libvpx/vpx_dsp/ppc/
Dhadamard_vsx.c77 const uint16x8_t ones = vec_splat_u16(1); in vpx_hadamard_16x16_vsx() local
97 const int16x8_t b0 = vec_sra(a0, ones); in vpx_hadamard_16x16_vsx()
98 const int16x8_t b1 = vec_sra(a1, ones); in vpx_hadamard_16x16_vsx()
99 const int16x8_t b2 = vec_sra(a2, ones); in vpx_hadamard_16x16_vsx()
100 const int16x8_t b3 = vec_sra(a3, ones); in vpx_hadamard_16x16_vsx()
/external/tensorflow/tensorflow/compiler/xla/tests/
Dpad_test.cc303 auto ones = MakeUnique<Array4D<int32>>(2, 3, 3, 2); in XLA_TEST_F() local
305 ones->Fill(1); in XLA_TEST_F()
306 b.Select(padded, AddParam(*ones, &b), AddParam(*zeros, &b)); in XLA_TEST_F()
322 auto ones = MakeUnique<Array2D<float>>(4, 4); in XLA_TEST_P() local
323 ones->Fill(1.0f); in XLA_TEST_P()
324 auto input = AddParam(*ones, &b); in XLA_TEST_P()
335 auto expected = ReferenceUtil::PadArray2D(*ones, padding_config, 0.0f); in XLA_TEST_P()
448 auto ones = MakeUnique<Array4D<float>>(2, 2, 2, 2); in XLA_TEST_P() local
449 ones->Fill(1.0); in XLA_TEST_P()
450 auto input = AddParam(*ones, &b); in XLA_TEST_P()

12345678910>>...41