| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| geometric_test.py | 158 self.assertEqual([3], geom.stddev().get_shape())
159 self.assertAllClose(geom.stddev().eval(), expected_stddevs)
|
| negative_binomial_test.py | 212 self.assertEqual([3], negbinom.stddev().get_shape())
213 self.assertAllClose(expected_stds, negbinom.stddev().eval())
|
| mixture_test.py | 304 dev = dist.stddev()
308 dist_devs = [d.stddev() for d in dist.components]
313 # Manual computation of stddev.
324 # Perform stddev computation on a flattened batch.
347 dev = dist.stddev()
351 dist_devs = [d.stddev() for d in dist.components]
356 # Manual computation of stddev.
367 # Perform stddev computation on a flattened batch.
394 mix_dev = mixture_dist.stddev()
[all...] |
| half_normal_test.py | 240 self.assertAllEqual((3,), halfnorm.stddev().shape)
241 self.assertAllEqual(np.sqrt(expected_variance), halfnorm.stddev().eval())
|
| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| bernoulli_test.py | 119 self.assertEqual(dist.probs.dtype, dist.stddev().dtype)
287 dist.stddev().eval(),
|
| gamma_test.py | 200 self.assertEqual(gamma.stddev().get_shape(), (3,))
204 self.assertAllClose(gamma.stddev().eval(), expected_stddev)
|
| laplace_test.py | 212 self.assertEqual(laplace.stddev().get_shape(), (3,))
216 self.assertAllClose(laplace.stddev().eval(), expected_stddev)
|
| /system/core/init/ |
| perfboot.py | 341 def stddev(data): function
354 print 'standard deviation:', stddev(end_times)
|
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| independent.py | 212 return self.distribution.stddev()
|
| /external/tensorflow/tensorflow/contrib/kernel_methods/python/ |
| kernel_estimators_test.py | 253 input_dim=4, output_dim=50, stddev=1.0, name='rffm')
|
| /external/tensorflow/tensorflow/python/debug/examples/ |
| debug_mnist.py | 69 initial = tf.truncated_normal(shape, stddev=0.1, seed=RAND_SEED)
|
| /external/tensorflow/tensorflow/python/training/ |
| checkpoint_ops.py | 467 # TODO(b/25671353): This should be kept in sync with the stddev used by
470 stddev=1.0 / math.sqrt(embedding_dim))
|
| /external/webrtc/webrtc/base/ |
| virtualsocketserver.h | 108 uint32_t stddev,
|
| /external/tensorflow/tensorflow/python/layers/ |
| normalization_test.py | [all...] |
| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.10/Lib/ |
| random.py | 856 stddev = _sqrt(sqsum/n - avg*avg)
857 print 'avg %g, stddev %g, min %g, max %g' % \
858 (avg, stddev, smallest, largest)
[all...] |
| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/ |
| random.py | 854 stddev = _sqrt(sqsum/n - avg*avg)
855 print 'avg %g, stddev %g, min %g, max %g' % \
856 (avg, stddev, smallest, largest)
[all...] |
| /external/autotest/tko/parsers/ |
| version_1.py | 131 pair, 'stddev'. If the perf measurement value is a list of values
140 along with a computed standard deviation value (key 'stddev'), or
171 perf_dict['stddev'] = 0.0
173 value, stddev = mean_and_standard_deviation(map(float, value))
175 perf_dict['stddev'] = stddev
|
| /external/python/cpython2/Lib/ |
| random.py | 856 stddev = _sqrt(sqsum/n - avg*avg)
857 print 'avg %g, stddev %g, min %g, max %g' % \
858 (avg, stddev, smallest, largest)
|
| /external/python/cpython3/Lib/ |
| random.py | 713 stddev = _sqrt(sqsum/n - avg*avg)
714 print('avg %g, stddev %g, min %g, max %g\n' % \
715 (avg, stddev, smallest, largest))
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/nets/ |
| inception_v1.py | 32 trunc_normal = lambda stddev: init_ops.truncated_normal_initializer(0.0, stddev)
|
| inception_v2.py | 32 trunc_normal = lambda stddev: init_ops.truncated_normal_initializer(0.0, stddev)
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| confusion_matrix_test.py | 86 [20], mean=m_neg, stddev=s, dtype=dtypes.float32)
88 [20], mean=m_pos, stddev=s, dtype=dtypes.float32)
|
| /prebuilts/gdb/darwin-x86/lib/python2.7/ |
| random.py | 850 stddev = _sqrt(sqsum/n - avg*avg)
851 print 'avg %g, stddev %g, min %g, max %g' % \
852 (avg, stddev, smallest, largest)
|
| /prebuilts/gdb/linux-x86/lib/python2.7/ |
| random.py | 850 stddev = _sqrt(sqsum/n - avg*avg)
851 print 'avg %g, stddev %g, min %g, max %g' % \
852 (avg, stddev, smallest, largest)
|
| /prebuilts/python/darwin-x86/2.7.5/lib/python2.7/ |
| random.py | 850 stddev = _sqrt(sqsum/n - avg*avg)
851 print 'avg %g, stddev %g, min %g, max %g' % \
852 (avg, stddev, smallest, largest)
|
