| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| periodic.py | 49 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/contrib/distributions/python/kernel_tests/ |
| vector_laplace_diag_test.py | 58 diag = array_ops.ones((1, 3))
108 diag = np.ones([3])
133 2. * np.diag(np.ones([3], dtype=np.float32)),
169 2. * np.ones([3], dtype=np.float32),
194 np.sqrt(2) * np.ones([3], dtype=np.float32),
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| uniform.py | 171 broadcasted_x = x * array_ops.ones(self.batch_shape_tensor())
188 ones = array_ops.ones(broadcast_shape, dtype=self.dtype)
189 broadcasted_x = x * ones
192 return array_ops.where(x >= self.high, ones, result_if_not_big)
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| student_t.py | 227 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/tensorflow/tensorflow/contrib/metrics/python/ops/ |
| metric_ops_test.py | 165 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/boosted_trees/python/training/functions/ |
| gbdt_batch_test.py | 158 features["dense_float"] = array_ops.ones([4, 1], dtypes.float32)
186 labels = array_ops.ones([4, 1], dtypes.float32)
187 weights = array_ops.ones([4, 1], dtypes.float32)
263 features["dense_float"] = array_ops.ones([4, 1], dtypes.float32)
290 labels = array_ops.ones([4, 1], dtypes.float32)
291 weights = array_ops.ones([4, 1], dtypes.float32)
365 features["dense_float"] = array_ops.ones([4, 1], dtypes.float32)
393 labels = array_ops.ones([4, 1], dtypes.float32)
394 weights = array_ops.ones([4, 1], dtypes.float32)
436 features["dense_float"] = array_ops.ones([4, 1], dtypes.float32
[all...] |
| /external/tensorflow/tensorflow/contrib/gan/python/eval/python/ |
| summaries_test.py | 52 real_data=array_ops.ones([4, 32, 32, 3]),
53 discriminator_real_outputs=array_ops.ones([1, 2, 3]),
54 discriminator_gen_outputs=array_ops.ones([1, 2, 3]),
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/ |
| summaries_test.py | 64 tensor = array_ops.ones([]) * 3
71 tensor = array_ops.ones([]) * 3
79 tensor = array_ops.ones([]) * value
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/layers/ |
| lstm_test.py | 117 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))
[all...] |
| core_test.py | 202 layer(keras.backend.variable(np.ones((2, 4))))
211 layer(keras.backend.variable(np.ones((2, 4))))
224 layer(keras.backend.variable(np.ones((2, 4))))
231 l(keras.backend.variable(np.ones((1, 1))))
240 l(keras.backend.variable(np.ones((1, 1))))
247 layer(keras.backend.variable(np.ones((1, 1))))
|
| /external/v8/src/base/ |
| division-by-constant.cc | 58 const T ones = ~static_cast<T>(0) >> leading_zeros;
61 const T nc = ones - (ones - d) % d;
|
| /libcore/luni/src/test/java/libcore/java/util/ |
| OldFormatterTest.java | 31 Formattable ones = new Formattable() { local
50 assertEquals("aaa 111?", new Formatter().format("aaa %s?", ones).toString());
51 assertEquals("aaa 111 bbb 222?", new Formatter().format("aaa %s bbb %s?", ones, twos).toString());
|
| /external/curl/docs/cmdline-opts/ |
| header.d | 9 header that has the same name as one of the internal ones curl would use, your
|
| next.d | 14 --next will reset all local options and only global ones will have their
|
| /external/tensorflow/tensorflow/contrib/signal/python/ops/ |
| window_ops.py | 111 return array_ops.ones([1], dtype=dtype)
126 lambda: array_ops.ones([1], dtype=dtype),
|
| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/ |
| math_utils_test.py | 226 array_ops.ones([3, 2], dtype=dtypes.float32), array_ops.zeros(
228 ], array_ops.ones([7, 7], dtype=dtypes.int64)],
241 expected_output_before_insert(numpy.ones([3, 2])),
247 expected_output_before_insert(numpy.ones([7, 7], dtype=numpy.int64)),
252 stack_tensor(array_ops.ones([3, 2], dtype=dtypes.float32)),
254 ], stack_tensor(array_ops.ones([7, 7], dtype=dtypes.int64))]).run()
262 expected_output_after_insert(numpy.ones([3, 2])),
268 expected_output_after_insert(numpy.ones([7, 7], dtype=numpy.int64)),
|
| /external/tensorflow/tensorflow/python/debug/examples/ |
| debug_fibonacci.py | 37 np.ones([FLAGS.tensor_size] * 2), dtype=tf.int32, name="node_00")
39 np.ones([FLAGS.tensor_size] * 2), dtype=tf.int32, name="node_01")
|
| /system/netd/server/ |
| WakeupControllerTest.cpp | 263 char ones[20] = {}; local
264 memset(ones, 1, sizeof(ones));
270 char prefix[sizeof(ones)];
275 memcpy(msg.prefix, ones, sizeof(ones));
277 const auto expected = std::string(ones, sizeof(ones) - 1);
|
| /external/boringssl/src/util/fipstools/testdata/x86_64-LabelRewrite/ |
| in1.s | 24 # Synthesized symbols are treated as local ones.
|
| /external/libvpx/libvpx/vp8/encoder/x86/ |
| vp8_quantize_sse2.c | 156 __m128i sz0, sz1, x0, x1, y0, y1, xdq0, xdq1, zeros, ones; local
200 ones = _mm_cmpeq_epi16(zeros, zeros);
202 x0 = _mm_xor_si128(x0, ones);
203 x1 = _mm_xor_si128(x1, ones);
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| custom_loss_head.py | 55 weight_tensor = array_ops.ones(
|
| /external/tensorflow/tensorflow/contrib/cudnn_rnn/python/kernel_tests/ |
| cudnn_rnn_ops_benchmark.py | 100 array_ops.ones([seq_length, batch_size, num_units]))
102 array_ops.ones([num_layers, batch_size, num_units]))
104 array_ops.ones([num_layers, batch_size, num_units]))
106 array_ops.ones([params_size_t]), validate_shape=False)
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_ptb/ |
| rnn_ptb_graph_test.py | 41 inputs = np.ones(inputs_ph.shape.as_list(), dtype=np.int64)
42 labels = np.ones(labels_ph.shape.as_list(), dtype=np.int64)
82 tf.ones(
122 tf.ones(
|
| rnn_ptb_test.py | 40 data = np.ones([4 * sequence_length, 20], dtype=np.int64)
50 model(tf.ones([35, 20], dtype=tf.int64), training=False)
78 sequence_batch = tf.ones(
116 sequence_batch = tf.ones(
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| softmax_op_test.py | 67 np.ones(sum_along_dim.shape), sum_along_dim)
187 ones = np.random.rand(dims, dims).astype(np.float32)
188 np_softmax = self._npSoftmax(ones)
194 tf_softmax = sess.run(y, feed_dict={x: ones})
|
