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Searched refs:stddev (Results 1 – 25 of 195) sorted by relevance

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/external/tensorflow/tensorflow/python/keras/utils/
Dkernelized_utils_test.py30 def _exact_gaussian(stddev): argument
32 kernelized_utils.exact_gaussian_kernel, stddev=stddev)
35 def _exact_laplacian(stddev): argument
37 kernelized_utils.exact_laplacian_kernel, stddev=stddev)
43 ('gaussian', _exact_gaussian(stddev=10.0), [[1.0]]),
44 ('laplacian', _exact_laplacian(stddev=50.0), [[1.0]]))
57 ('gaussian', _exact_gaussian(stddev=10.0), [[1.0]]),
58 ('laplacian', _exact_laplacian(stddev=50.0), [[1.0]]))
71 ('gaussian', _exact_gaussian(stddev=1.0), [[0.99], [0.977]]),
72 ('laplacian', _exact_laplacian(stddev=5.0), [[0.96], [0.94]]))
[all …]
Dkernelized_utils.py60 def exact_gaussian_kernel(x, y, stddev): argument
87 return math_ops.exp(-diff_squared_l2_norm / (2 * stddev * stddev))
90 def exact_laplacian_kernel(x, y, stddev): argument
117 return math_ops.exp(-diff_l1_norm / stddev)
/external/tensorflow/tensorflow/contrib/kernel_methods/python/mappers/
Drandom_fourier_features_test.py49 def _compute_exact_rbf_kernel(x, y, stddev): argument
53 return math_ops.exp(-diff_squared_norm / (2 * stddev * stddev))
94 stddev = 3.0
99 rffm1 = RandomFourierFeatureMapper(3, 100, stddev)
100 rffm2 = RandomFourierFeatureMapper(3, 100, stddev)
114 stddev = 3.0
119 rffm = RandomFourierFeatureMapper(3, 100, stddev, seed=0)
122 exact_kernel_value = _compute_exact_rbf_kernel(x, y, stddev)
132 stddev = 5.0
143 rffm = RandomFourierFeatureMapper(input_dim, mapped_dim, stddev, seed=0)
[all …]
/external/tensorflow/tensorflow/python/ops/
Dinit_ops_v2.py277 def __init__(self, mean=0.0, stddev=0.05, seed=None): argument
279 self.stddev = stddev
295 return self._random_generator.random_normal(shape, self.mean, self.stddev,
301 "stddev": self.stddev,
324 def __init__(self, mean=0.0, stddev=0.05, seed=None): argument
326 self.stddev = stddev
343 self.stddev, dtype)
348 "stddev": self.stddev,
427 stddev = math.sqrt(scale) / .87962566103423978
428 return self._random_generator.truncated_normal(shape, 0.0, stddev, dtype)
[all …]
Dstateless_random_ops.py108 stddev=1.0, argument
133 [shape, seed, mean, stddev]) as name:
136 stddev = ops.convert_to_tensor(stddev, dtype=dtype, name="stddev")
138 return math_ops.add(rnd * stddev, mean, name=name)
145 stddev=1.0, argument
174 [shape, seed, mean, stddev]) as name:
177 stddev = ops.convert_to_tensor(stddev, dtype=dtype, name="stddev")
180 return math_ops.add(rnd * stddev, mean, name=name)
Dstateful_random_ops.py215 def normal(self, shape, mean=0.0, stddev=1.0, dtype=dtypes.float32, argument
217 with ops.name_scope(name, "stateful_normal", [shape, mean, stddev]) as name:
220 stddev = ops.convert_to_tensor(stddev, dtype=dtype, name="stddev")
222 return math_ops.add(rnd * stddev, mean, name=name)
Drandom_ops.py51 stddev=1.0, argument
73 with ops.name_scope(name, "random_normal", [shape, mean, stddev]) as name:
76 stddev_tensor = ops.convert_to_tensor(stddev, dtype=dtype, name="stddev")
146 stddev=1.0, argument
172 with ops.name_scope(name, "truncated_normal", [shape, mean, stddev]) as name:
175 stddev_tensor = ops.convert_to_tensor(stddev, dtype=dtype, name="stddev")
/external/tensorflow/tensorflow/python/kernel_tests/
Dparameterized_truncated_normal_op_test.py50 stddev = None variable in TruncatedNormalMoments
54 def __init__(self, mean, stddev, minval, maxval): argument
57 self.stddev = np.double(stddev)
78 dist = scipy.stats.norm(loc=self.mean, scale=self.stddev)
85 m = ((k - 1) * self.stddev**2 * m_k_minus_2 + self.mean * m_k_minus_1 -
86 self.stddev * numerator / denominator)
121 def validateMoments(self, shape, mean, stddev, minval, maxval, seed=1618): argument
128 samples = random_ops.parameterized_truncated_normal(shape, mean, stddev,
133 expected_moments = TruncatedNormalMoments(mean, stddev, minval, maxval)
144 stddev, argument
[all …]
/external/tensorflow/tensorflow/python/keras/layers/
Dnoise.py59 def __init__(self, stddev, **kwargs): argument
62 self.stddev = stddev
68 shape=array_ops.shape(inputs), mean=0., stddev=self.stddev)
73 config = {'stddev': self.stddev}
116 stddev = np.sqrt(self.rate / (1.0 - self.rate))
118 shape=array_ops.shape(inputs), mean=1.0, stddev=stddev)
Dkernelized_test.py45 def _exact_gaussian(stddev): argument
47 kernelized_utils.exact_gaussian_kernel, stddev=stddev)
50 def _exact_laplacian(stddev): argument
52 kernelized_utils.exact_laplacian_kernel, stddev=stddev)
76 3, 'unsupported_kernel', stddev=2.0)
320 ('gaussian', 'gaussian', 5.0, _exact_gaussian(stddev=5.0)),
321 ('laplacian', 'laplacian', 20.0, _exact_laplacian(stddev=20.0)))
359 ('gaussian', 'gaussian', 10.0, _exact_gaussian(stddev=10.0)),
360 ('laplacian', 'laplacian', 50.0, _exact_laplacian(stddev=50.0)))
/external/tensorflow/tensorflow/examples/speech_commands/
Dmodels.py192 initializer=tf.truncated_normal_initializer(stddev=0.001),
262 initializer=tf.truncated_normal_initializer(stddev=0.01),
281 initializer=tf.truncated_normal_initializer(stddev=0.01),
308 initializer=tf.truncated_normal_initializer(stddev=0.01),
380 initializer=tf.truncated_normal_initializer(stddev=0.01),
407 initializer=tf.truncated_normal_initializer(stddev=0.01),
421 initializer=tf.truncated_normal_initializer(stddev=0.01),
435 initializer=tf.truncated_normal_initializer(stddev=0.01),
559 initializer=tf.truncated_normal_initializer(stddev=0.01),
584 initializer=tf.truncated_normal_initializer(stddev=0.01),
[all …]
/external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/layers/
Ddecisions_to_data.py44 mean=params.weight_init_mean, stddev=params.weight_init_std))
50 mean=params.weight_init_mean, stddev=params.weight_init_std))
85 mean=params.weight_init_mean, stddev=params.weight_init_std))
91 mean=params.weight_init_mean, stddev=params.weight_init_std))
130 mean=params.weight_init_mean, stddev=params.weight_init_std))
136 mean=params.weight_init_mean, stddev=params.weight_init_std))
168 mean=params.weight_init_mean, stddev=params.weight_init_std))
174 mean=params.weight_init_mean, stddev=params.weight_init_std))
220 mean=params.weight_init_mean, stddev=params.weight_init_std))
226 mean=params.weight_init_mean, stddev=params.weight_init_std))
/external/v8/tools/
Davg.py61 def __init__(self, key=0, average=0, stddev=0, min=0, max=0): argument
62 self.w = dict(key=key, average=average, stddev=stddev, min=min, max=max)
108 fmtN(self.stddev(), w.stddev), fmtN(self.min, w.min),
121 def stddev(self): member in Measurement
131 stddev=len(fmtN(self.stddev())),
/external/tensorflow/tensorflow/core/kernels/
Dparameterized_truncated_normal_op_gpu.cu.cc99 T stddev; in TruncatedNormalKernel() local
106 stddev = -input_stddev; in TruncatedNormalKernel()
108 stddev = input_stddev; in TruncatedNormalKernel()
112 const T normMin = (minval - mean) / stddev; in TruncatedNormalKernel()
113 const T normMax = (maxval - mean) / stddev; in TruncatedNormalKernel()
142 data[offset] = randn[i] * stddev + mean; in TruncatedNormalKernel()
183 data[offset] = z[i] * stddev + mean; in TruncatedNormalKernel()
213 data[offset] = z * stddev + mean; in TruncatedNormalKernel()
Dparameterized_truncated_normal_op.cc98 T stddev = stddevs((stddevs.dimension(0) == 1) ? 0 : b); in operator ()() local
110 stddev > T(0) && minval < maxval && in operator ()()
123 stddev = -stddev; in operator ()()
127 const T normMin = (minval - mean) / stddev; in operator ()()
128 const T normMax = (maxval - mean) / stddev; in operator ()()
158 output(sample) = randn_sample[i] * stddev + mean; in operator ()()
221 output(sample) = z[i] * stddev + mean; in operator ()()
261 output(sample) = z * stddev + mean; in operator ()()
/external/tensorflow/tensorflow/contrib/model_pruning/examples/cifar10/
Dcifar10_pruning.py105 def _variable_with_weight_decay(name, shape, stddev, wd): argument
124 stddev=stddev, dtype=dtype))
190 'weights', shape=[5, 5, 3, 64], stddev=5e-2, wd=0.0)
213 'weights', shape=[5, 5, 64, 64], stddev=5e-2, wd=0.0)
238 'weights', shape=[dim, 384], stddev=0.04, wd=0.004)
248 'weights', shape=[384, 192], stddev=0.04, wd=0.004)
261 'weights', [192, NUM_CLASSES], stddev=1 / 192.0, wd=0.0)
/external/tensorflow/tensorflow/python/profiler/internal/
Dmodel_analyzer_testlib.py44 initializer=init_ops.random_normal_initializer(stddev=0.001))
48 initializer=init_ops.random_normal_initializer(stddev=0.001))
53 initializer=init_ops.random_normal_initializer(stddev=0.001))
82 initializer=init_ops.random_normal_initializer(stddev=0.001))
88 initializer=init_ops.random_normal_initializer(stddev=0.001))
/external/tensorflow/tensorflow/python/keras/
Dinitializers.py89 def __init__(self, mean=0.0, stddev=0.05, seed=None, dtype=dtypes.float32): argument
91 mean=mean, stddev=stddev, seed=seed, dtype=dtype)
135 def __init__(self, mean=0.0, stddev=0.05, seed=None, dtype=dtypes.float32): argument
137 mean=mean, stddev=stddev, seed=seed, dtype=dtype)
/external/libcxx/test/std/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.normal/
Dctor_double_double.pass.cpp26 assert(d.stddev() == 1); in main()
32 assert(d.stddev() == 1); in main()
38 assert(d.stddev() == 5.25); in main()
Dparam_ctor.pass.cpp28 assert(p.stddev() == 1); in main()
35 assert(p.stddev() == 1); in main()
42 assert(p.stddev() == 5); in main()
/external/tensorflow/tensorflow/stream_executor/cuda/
Dcuda_rng.cc164 ElemT stddev, in DoPopulateRandGaussianInternal() argument
176 func(rng_, GpuMemoryMutable(v), element_count, mean, stddev); in DoPopulateRandGaussianInternal()
187 bool GpuRng::DoPopulateRandGaussian(Stream* stream, float mean, float stddev, in DoPopulateRandGaussian() argument
189 return DoPopulateRandGaussianInternal(stream, mean, stddev, v, in DoPopulateRandGaussian()
193 bool GpuRng::DoPopulateRandGaussian(Stream* stream, double mean, double stddev, in DoPopulateRandGaussian() argument
195 return DoPopulateRandGaussianInternal(stream, mean, stddev, v, in DoPopulateRandGaussian()
Dcurand_10_0.inc118 size_t n, float mean, float stddev) {
122 return func_ptr(generator, outputPtr, n, mean, stddev);
127 size_t n, double mean, double stddev) {
131 return func_ptr(generator, outputPtr, n, mean, stddev);
136 size_t n, float mean, float stddev) {
140 return func_ptr(generator, outputPtr, n, mean, stddev);
145 size_t n, double mean, double stddev) {
149 return func_ptr(generator, outputPtr, n, mean, stddev);
/external/tensorflow/tensorflow/stream_executor/rocm/
Drocm_rng.cc220 ElemT stddev, in DoPopulateRandGaussianInternal() argument
231 func(parent_, rng_, GpuMemoryMutable(v), element_count, mean, stddev); in DoPopulateRandGaussianInternal()
242 bool GpuRng::DoPopulateRandGaussian(Stream* stream, float mean, float stddev, in DoPopulateRandGaussian() argument
244 return DoPopulateRandGaussianInternal(stream, mean, stddev, v, in DoPopulateRandGaussian()
248 bool GpuRng::DoPopulateRandGaussian(Stream* stream, double mean, double stddev, in DoPopulateRandGaussian() argument
250 return DoPopulateRandGaussianInternal(stream, mean, stddev, v, in DoPopulateRandGaussian()
/external/tensorflow/tensorflow/stream_executor/gpu/
Dgpu_rng.h63 bool DoPopulateRandGaussian(Stream* stream, float mean, float stddev,
65 bool DoPopulateRandGaussian(Stream* stream, double mean, double stddev,
76 bool DoPopulateRandGaussianInternal(Stream* stream, ElemT mean, ElemT stddev,
/external/tensorflow/tensorflow/examples/tutorials/mnist/
Dmnist.py60 stddev=1.0 / math.sqrt(float(IMAGE_PIXELS))),
69 stddev=1.0 / math.sqrt(float(hidden1_units))),
78 stddev=1.0 / math.sqrt(float(hidden2_units))),

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