/external/tensorflow/tensorflow/python/kernel_tests/ |
denormal_test.py | 21 import numpy as np 32 """Non-tf numpy code should treat denormals correctly."""
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extract_image_patches_grad_test.py | 21 import numpy as np
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gradient_correctness_test.py | 21 import numpy as np
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sparsemask_op_test.py | 20 import numpy as np
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trace_op_test.py | 20 import numpy as np
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/external/tensorflow/tensorflow/python/ops/ |
nn_grad_test.py | 21 import numpy as np
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/external/tensorflow/tensorflow/tools/ci_build/install/ |
install_pip_packages.sh | 60 # numpy needs to be installed from source to fix segfaults. See: 63 pip2 install --no-binary=:all: --upgrade numpy==1.12.0 64 pip3 install --no-binary=:all: --upgrade numpy==1.12.0
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install_python3.5_pip_packages.sh | 54 # Install numpy, scipy and scikit-learn required by the builds 56 # numpy needs to be installed from source to fix segfaults. See: 59 pip3.5 install --no-binary=:all: --upgrade numpy==1.12.0
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install_python3.6_pip_packages.sh | 65 # Install numpy, scipy and scikit-learn required by the builds 67 # numpy needs to be installed from source to fix segfaults. See: 70 pip3 install --no-binary=:all: --upgrade numpy==1.12.0
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/external/trappy/trappy/stats/ |
Indexer.py | 22 import numpy as np
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/external/walt/pywalt/pywalt/ |
evparser.py | 2 from numpy import array
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walt.py | 49 import numpy 153 times = numpy.zeros((N, 1)) 159 median = numpy.median(times) 200 times = numpy.zeros(9) 230 times_local_received = numpy.zeros(9) 240 times_local_sent = numpy.zeros(9) 488 print('Median tap-to-audio latency: %0.1f ms' % numpy.median(deltas)) 514 print('Median tap-to-blink latency: %0.1f ms' % numpy.median(deltas)) 565 dt_down = numpy.array([t[0] for t in taps if t[1] == 1]) / 1e3 566 dt_up = numpy.array([t[0] for t in taps if t[1] == 0]) / 1e [all...] |
/frameworks/av/services/camera/libcameraservice/tests/ |
DistortionMapperComp.py | 3 # Assumes a python that has numpy and cv2 (OpenCV) available 5 import numpy as np
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/frameworks/base/tests/JankBench/scripts/ |
itr_collect.py | 7 import numpy 93 stddev = numpy.std(res.durations) 94 mean = numpy.mean(res.durations) 129 print "\t%s:\t%0.2f%% (%0.2f avg sample count)" % (test, 100 * scipy.stats.variation(per_test_score[test]), numpy.mean(per_test_sample_count[test]))
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/external/tensorflow/tensorflow/contrib/timeseries/python/timeseries/state_space_models/ |
periodic.py | 21 import numpy 300 global_coeff = (math_ops.sin(original_matrix_powers * numpy.pi) / 315 row_addend = 1. / math_ops.sin(numpy.pi / num_latent_values_float * ( 320 numpy.pi / num_latent_values_float * 481 return 1. / math_ops.sin(numpy.pi / num_latent_values_float * coefficient) 511 sign = math_ops.cos(normalized * numpy.pi) 528 global_coefficient = (math_ops.sin(numpy.pi * original_matrix_powers) /
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/external/tensorflow/tensorflow/python/eager/ |
tensor_test.py | 24 import numpy as np 187 self.assertIn("id=%d, shape=%s, dtype=%s, numpy=\n%r" % 188 (t._id, t.shape, t.dtype.name, t.numpy()), tensor_repr) 210 self.assertIn("id=%d, shape=(), dtype=int32, numpy=42" % t._id, repr(t)) 220 self.assertIn("id=%d, shape=(0,), dtype=float32, numpy=%r" % (t._id, 221 t.numpy()), 227 t_np = t.numpy() 234 self.assertAllEqual(list_element, tensor_element.numpy()) 253 self.assertAllEqual(np.array([3, 2, 4]), r.numpy()) 256 self.assertAllEqual(np.array([2, 3, 1]), r.numpy()) [all...] |
/external/autotest/client/cros/audio/ |
audio_quality_measurement_unittest.py | 8 import numpy 18 numpy.random.seed(0) 33 noise = standard_noise * numpy.random.standard_normal() 64 numpy.random.seed(0) 82 noise = noise_amplitude * numpy.random.standard_normal() 131 self.y[j] = self.amplitude * (3 + numpy.random.uniform(-1, 1))
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/tools/test/connectivity/acts/framework/tests/ |
audio_quality_measurement_unittest.py | 19 import numpy 31 numpy.random.seed(0) 45 noise = standard_noise * numpy.random.standard_normal() 76 numpy.random.seed(0) 93 noise = noise_amplitude * numpy.random.standard_normal() 138 self.y[j] = self.amplitude * (3 + numpy.random.uniform(-1, 1))
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/cts/apps/CameraITS/tests/scene1/ |
test_crop_regions.py | 21 import numpy 93 diff = numpy.fabs(tile_full - tile_crop).mean()
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test_ev_compensation_advanced.py | 23 import numpy 103 avg_diff = abs(numpy.array(luma_diffs)).mean()
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test_locked_burst.py | 20 import numpy
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/external/autotest/client/cros/power/ |
power_dashboard.py | 5 import json, numpy, os, time, urllib, urllib2 159 power_dict['average'][domain] = numpy.average(domain_readings)
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/external/autotest/client/site_tests/graphics_WebGLManyPlanetsDeep/ |
graphics_WebGLManyPlanetsDeep.py | 6 import numpy 76 arr = numpy.array([[v['frame_elapsed_time'], v['js_elapsed_time']]
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/external/ltp/testcases/realtime/tools/ |
ftqviz.py | 7 # Prerequisites: numpy, scipy, and pylab packages. For debian/ubuntu: 27 from numpy import * 28 from numpy.fft import *
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/external/tensorflow/tensorflow/contrib/eager/python/examples/linear_regression/ |
linear_regression_test.py | 78 self.assertAllClose(true_w, model.variables[0].numpy(), rtol=1e-2) 79 self.assertAllClose(true_b, model.variables[1].numpy(), rtol=1e-2)
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