| /external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
| state_space_model_test.py | 23 import numpy
61 self.transition = numpy.random.normal(
64 self.noise_transform = numpy.random.normal(
68 self.observation_model = numpy.random.normal(
156 self._gap_test_template(times=[20, 21, 22], values=numpy.arange(3))
159 self._gap_test_template(times=[2, 60, 61], values=numpy.arange(3))
162 self._gap_test_template(times=[2, 3, 73], values=numpy.arange(3))
166 values=numpy.arange(7))
336 numpy.random.seed(2)
341 numpy.random.seed(4
[all...] |
| structural_ensemble_test.py | 21 import numpy
40 time = sample_every * numpy.arange(num_samples)
41 noise = numpy.random.normal(
43 values = noise + numpy.sin(
44 numpy.arange(num_features)[None, ...]
45 + time[..., None] / float(period) * 2.0 * numpy.pi).astype(
47 return {TrainEvalFeatures.TIMES: numpy.reshape(time, [1, -1]),
48 TrainEvalFeatures.VALUES: numpy.reshape(
54 numpy.random.seed(1)
|
| /external/tensorflow/tensorflow/contrib/kfac/python/kernel_tests/ |
| BUILD | 30 "//third_party/py/numpy",
49 "//third_party/py/numpy",
69 "//third_party/py/numpy",
108 "//third_party/py/numpy",
127 "//third_party/py/numpy",
154 "//third_party/py/numpy",
|
| /tools/test/connectivity/acts/framework/acts/test_utils/audio_analysis_lib/ |
| audio_data.py | 20 import numpy
28 dtype_str: Data type used in numpy dtype. Check
29 https://docs.scipy.org/doc/numpy/reference/arrays.dtypes.html
92 Reads samples of fixed width from binary string into a numpy array
100 # The data type used in numpy fromstring function. For example,
106 np_array = numpy.fromstring(binary, dtype=np_dtype)
|
| /external/tensorflow/tensorflow/contrib/kernel_methods/ |
| BUILD | 35 "//third_party/py/numpy",
76 "//third_party/py/numpy",
90 "//third_party/py/numpy",
|
| /external/tensorflow/tensorflow/python/data/kernel_tests/ |
| BUILD | 18 "//third_party/py/numpy",
37 "//third_party/py/numpy",
65 "//third_party/py/numpy",
80 "//third_party/py/numpy",
97 "//third_party/py/numpy",
145 "//third_party/py/numpy",
227 "//third_party/py/numpy",
241 "//third_party/py/numpy",
268 "//third_party/py/numpy",
285 "//third_party/py/numpy",
[all...] |
| /external/lmfit/test/ |
| py_qr.py | 4 import numpy as np
|
| /external/tensorflow/tensorflow/contrib/data/python/kernel_tests/ |
| BUILD | 29 "//third_party/py/numpy",
51 "//third_party/py/numpy",
67 "//third_party/py/numpy",
96 "//third_party/py/numpy",
118 "//third_party/py/numpy",
137 "//third_party/py/numpy",
147 "//third_party/py/numpy",
188 "//third_party/py/numpy",
197 "//third_party/py/numpy",
238 "//third_party/py/numpy",
[all...] |
| /external/tensorflow/tensorflow/contrib/eager/python/examples/gan/ |
| BUILD | 33 "//third_party/py/numpy",
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/ |
| BUILD | 33 "//third_party/py/numpy",
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/ |
| BUILD | 36 "//third_party/py/numpy",
|
| /external/tensorflow/tensorflow/contrib/eager/python/ |
| saver_test.py | 56 self.assertEqual(v1.read_value().numpy(), 2.0)
59 self.assertEqual(v1.read_value().numpy(), 1.0)
100 self.assertEqual(v1.read_value().numpy(), 2.0)
101 self.assertEqual(v2.read_value().numpy(), 2.0)
104 self.assertEqual(v1.read_value().numpy(), 1.0)
105 self.assertEqual(v1.read_value().numpy(), 1.0)
116 self.assertEqual(v3.read_value().numpy(), 1.0)
117 self.assertEqual(v4.read_value().numpy(), 1.0)
135 self.assertEqual(ret.numpy(), 1.0)
164 2, model(array_ops.constant(2, dtype=dtypes.float32)).numpy())
[all...] |
| /external/tensorflow/tensorflow/contrib/testing/ |
| BUILD | 22 "//third_party/py/numpy",
|
| /external/tensorflow/tensorflow/contrib/timeseries/examples/ |
| multivariate.py | 28 import numpy
72 numpy.random.seed(1) # Make the example a bit more deterministic
81 next_sample = numpy.random.multivariate_normal(
83 mean=numpy.squeeze(current_prediction["mean"], axis=[0, 1]),
84 cov=numpy.squeeze(current_prediction["covariance"], axis=[0, 1]))
100 all_observations = numpy.squeeze(numpy.concatenate(values, axis=1), axis=0)
101 all_times = numpy.squeeze(numpy.concatenate(times, axis=1), axis=0)
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| api_def_FFT.pbtxt | 15 @compatibility(numpy)
|
| api_def_FFT2D.pbtxt | 15 @compatibility(numpy)
|
| api_def_FFT3D.pbtxt | 15 @compatibility(numpy)
|
| api_def_Fill.pbtxt | 14 @compatibility(numpy)
|
| api_def_IFFT.pbtxt | 15 @compatibility(numpy)
|
| api_def_IFFT2D.pbtxt | 15 @compatibility(numpy)
|
| api_def_IFFT3D.pbtxt | 15 @compatibility(numpy)
|
| api_def_TruncateDiv.pbtxt | 11 [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/utils/ |
| np_utils.py | 15 """Numpy-related utilities."""
20 import numpy as np
55 """Normalizes a Numpy array.
58 x: Numpy array to normalize.
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| constant_op_eager_test.py | 21 import numpy as np
40 tf_ans = ops.convert_to_tensor(x).numpy()
51 tf_ans = ops.convert_to_tensor(x).numpy()
70 self.assertAllClose(np.array(orig), tf_ans.numpy())
76 self.assertAllClose(np.array(orig), tf_ans.numpy())
81 self.assertAllClose(np.array(orig), tf_ans.numpy())
87 self.assertAllClose(np.array(orig), tf_ans.numpy())
98 self.assertAllClose(np.array(orig), tf_ans.numpy())
102 self.assertEqual(2**54, tf_ans.numpy())
125 self.assertAllClose(np.array(orig), tf_ans.numpy())
[all...] |
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| BUILD | 25 "//third_party/py/numpy",
|
