| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| multinomial_test.py | 248 # We will test mean, cov, var, stddev on a DirichletMultinomial constructed
282 dist.stddev(),
|
| student_t_test.py | 414 stddev = student.stddev().eval()
422 self.assertAllClose(expected_stddev, stddev)
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| /system/core/init/ |
| perfboot.py | 341 def stddev(data): function
354 print 'standard deviation:', stddev(end_times)
|
| /cts/tests/sensor/src/android/hardware/cts/helpers/sensorverification/ |
| StandardDeviationVerification.java | 170 Assert.fail(String.format("Standard deviation out of range: stddev=%s (expected %s)",
|
| /external/autotest/server/site_tests/network_WiFi_AttenuatedPerf/ |
| network_WiFi_AttenuatedPerf.py | 173 header_parts = ['Attenuation', 'Throughput(Mbps)', 'StdDev(Mbps)',
|
| /external/google-benchmark/src/ |
| complexity.cc | 201 // Only add label to mean/stddev if it is same for all runs
|
| /external/libcxx/utils/google-benchmark/src/ |
| complexity.cc | 201 // Only add label to mean/stddev if it is same for all runs
|
| /external/ltp/testcases/realtime/func/periodic_cpu_load/ |
| periodic_cpu_load.c | 225 printf(" StdDev: %f us\n\n", stats_stddev(&dat[i]));
|
| /external/ltp/testcases/realtime/func/pthread_kill_latency/ |
| pthread_kill_latency.c | 214 printf("StdDev: %.4f us\n", stats_stddev(&dat));
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| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/ |
| independent_test.py | 120 ind.mean(), ind.variance(), ind.stddev(), ind.entropy(), ind.mode(),
|
| logistic_test.py | 165 self.assertEqual(dist.loc.dtype, dist.stddev().dtype)
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| cauchy_test.py | 337 self.assertAllEqual((3,), cauchy.stddev().shape)
338 self.assertAllEqual([np.nan] * 3, cauchy.stddev().eval())
348 cauchy.stddev().eval()
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| cauchy.py | 221 raise ValueError("`stddev` is undefined for Cauchy distribution.")
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| independent.py | 212 return self.distribution.stddev()
|
| /external/tensorflow/tensorflow/contrib/model_pruning/python/ |
| pruning_test.py | 91 random_ops.random_normal([width, height], stddev=1), name="weights")
|
| /external/tensorflow/tensorflow/examples/tutorials/mnist/ |
| mnist_deep.py | 116 initial = tf.truncated_normal(shape, stddev=0.1)
|
| /external/tensorflow/tensorflow/python/debug/examples/ |
| debug_mnist.py | 69 initial = tf.truncated_normal(shape, stddev=0.1, seed=RAND_SEED)
|
| /prebuilts/go/darwin-x86/src/math/rand/ |
| normal.go | 32 // standard normal distribution (mean = 0, stddev = 1).
|
| /prebuilts/go/linux-x86/src/math/rand/ |
| normal.go | 32 // standard normal distribution (mean = 0, stddev = 1).
|
| /external/tensorflow/tensorflow/contrib/layers/python/layers/ |
| embedding_ops_test.py | 55 mean=0.0, stddev=1.0 / math.sqrt(vocab_size), dtype=dtypes.float32))
273 mean=0.0, stddev=1.0, dtype=dtypes.float32))
405 mean=0.0, stddev=1.0, dtype=dtypes.float32))
|
| /cts/apps/CtsVerifier/assets/scripts/ |
| execute_power_tests.py | 671 stddev = math.sqrt(sum(squared) / len(squared))
679 "mAmp Sensor: %f mAmp Stddev : %f mAmp Peak: %f mAmp") % (
681 stddev * 1000.0, max_power * 1000.0)
685 "Stddev: %f Peak: %f") % (
687 stddev * 1000.0, max_power * 1000.0)
[all...] |
| /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/python/framework/ |
| meta_graph_test.py | 303 [28, 128], stddev=1.0 / math.sqrt(float(28))),
320 [128, 32], stddev=1.0 / math.sqrt(float(128))),
345 [32, 10], stddev=1.0 / math.sqrt(float(32))),
[all...] |
| /external/ltp/testcases/realtime/func/gtod_latency/ |
| gtod_latency.c | 347 printf("StdDev: %.4f ns\n", stats_stddev(&dat));
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| /external/ltp/testcases/realtime/func/sched_latency/ |
| sched_latency.c | 232 printf("StdDev: %.4f us\n", stats_stddev(&dat));
|
