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Searched refs:stddev (Results 1 – 25 of 158) 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/lite/experimental/support/java/src/java/org/tensorflow/lite/support/common/ops/
DNormalizeOp.java32 private final float[] stddev; field in NormalizeOp
55 public NormalizeOp(float mean, float stddev) { in NormalizeOp() argument
56 this(new float[] {mean}, new float[] {stddev}); in NormalizeOp()
80 public NormalizeOp(@NonNull float[] mean, @NonNull float[] stddev) { in NormalizeOp() argument
82 SupportPreconditions.checkNotNull(stddev, "Stddev cannot be null"); in NormalizeOp()
84 mean.length == stddev.length, in NormalizeOp()
88 this.stddev = stddev.clone(); in NormalizeOp()
92 SupportPreconditions.checkArgument(this.stddev[i] != 0, "Stddev cannot be zero."); in NormalizeOp()
93 if (this.stddev[i] != 1 || this.mean[i] != 0) { in NormalizeOp()
122 values[i] = (values[i] - mean[j]) / stddev[j]; in apply()
/external/tensorflow/tensorflow/python/ops/
Dinit_ops_v2.py363 def __init__(self, mean=0.0, stddev=0.05, seed=None): argument
365 self.stddev = stddev
381 return self._random_generator.random_normal(shape, self.mean, self.stddev,
387 "stddev": self.stddev,
428 def __init__(self, mean=0.0, stddev=0.05, seed=None): argument
430 self.stddev = stddev
447 self.stddev, dtype)
452 "stddev": self.stddev,
551 stddev = math.sqrt(scale) / .87962566103423978
552 return self._random_generator.truncated_normal(shape, 0.0, stddev, dtype)
[all …]
Dstateless_random_ops.py109 stddev=1.0, argument
134 [shape, seed, mean, stddev]) as name:
137 stddev = ops.convert_to_tensor(stddev, dtype=dtype, name="stddev")
139 result = math_ops.add(rnd * stddev, mean, name=name)
148 stddev=1.0, argument
178 [shape, seed, mean, stddev]) as name:
181 stddev = ops.convert_to_tensor(stddev, dtype=dtype, name="stddev")
184 result = math_ops.add(rnd * stddev, mean, name=name)
Dinit_ops.py299 def __init__(self, mean=0.0, stddev=1.0, seed=None, dtype=dtypes.float32): argument
301 self.stddev = stddev
309 shape, self.mean, self.stddev, dtype, seed=self.seed)
314 "stddev": self.stddev,
345 def __init__(self, mean=0.0, stddev=1.0, seed=None, dtype=dtypes.float32): argument
347 self.stddev = stddev
355 shape, self.mean, self.stddev, dtype, seed=self.seed)
360 "stddev": self.stddev,
510 stddev = math.sqrt(scale) / .87962566103423978
512 shape, 0.0, stddev, dtype, seed=self.seed)
[all …]
Drandom_ops.py46 stddev=1.0, argument
86 with ops.name_scope(name, "random_normal", [shape, mean, stddev]) as name:
89 stddev_tensor = ops.convert_to_tensor(stddev, dtype=dtype, name="stddev")
161 stddev=1.0, argument
187 with ops.name_scope(name, "truncated_normal", [shape, mean, stddev]) as name:
190 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
70 stddev=self.stddev,
76 config = {'stddev': self.stddev}
119 stddev = np.sqrt(self.rate / (1.0 - self.rate))
123 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)
314 ('gaussian', 'gaussian', 5.0, _exact_gaussian(stddev=5.0)),
315 ('laplacian', 'laplacian', 20.0, _exact_laplacian(stddev=20.0)))
353 ('gaussian', 'gaussian', 5.0, _exact_gaussian(stddev=5.0)),
354 ('laplacian', 'laplacian', 10.0, _exact_laplacian(stddev=10.0)))
/external/tensorflow/tensorflow/examples/speech_commands/
Dmodels.py195 initializer=tf.compat.v1.truncated_normal_initializer(stddev=0.001),
266 initializer=tf.compat.v1.truncated_normal_initializer(stddev=0.01),
291 initializer=tf.compat.v1.truncated_normal_initializer(stddev=0.01),
320 initializer=tf.compat.v1.truncated_normal_initializer(stddev=0.01),
392 initializer=tf.compat.v1.truncated_normal_initializer(stddev=0.01),
421 initializer=tf.compat.v1.truncated_normal_initializer(stddev=0.01),
435 initializer=tf.compat.v1.truncated_normal_initializer(stddev=0.01),
449 initializer=tf.compat.v1.truncated_normal_initializer(stddev=0.01),
573 initializer=tf.compat.v1.truncated_normal_initializer(stddev=0.01),
600 initializer=tf.compat.v1.truncated_normal_initializer(stddev=0.01),
[all …]
/external/tensorflow/tensorflow/core/kernels/
Dparameterized_truncated_normal_op_gpu.cu.cc100 T stddev; in TruncatedNormalKernel() local
107 stddev = -input_stddev; in TruncatedNormalKernel()
109 stddev = input_stddev; in TruncatedNormalKernel()
113 const T normMin = (minval - mean) / stddev; in TruncatedNormalKernel()
114 const T normMax = (maxval - mean) / stddev; in TruncatedNormalKernel()
143 data[offset] = randn[i] * stddev + mean; in TruncatedNormalKernel()
184 data[offset] = z[i] * stddev + mean; in TruncatedNormalKernel()
214 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/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/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.py92 def __init__(self, mean=0.0, stddev=0.05, seed=None, dtype=dtypes.float32): argument
94 mean=mean, stddev=stddev, seed=seed, dtype=dtype)
141 def __init__(self, mean=0.0, stddev=0.05, seed=None, dtype=dtypes.float32): argument
143 mean=mean, stddev=stddev, seed=seed, dtype=dtype)
/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.inc128 float mean, float stddev) {
133 return func_ptr(generator, outputPtr, n, mean, stddev);
139 double stddev) {
144 return func_ptr(generator, outputPtr, n, mean, stddev);
149 float mean, float stddev) {
154 return func_ptr(generator, outputPtr, n, mean, stddev);
159 size_t n, double mean, double stddev) {
164 return func_ptr(generator, outputPtr, n, mean, stddev);
/external/tensorflow/tensorflow/stream_executor/rocm/
Drocm_rng.cc219 ElemT stddev, in DoPopulateRandGaussianInternal() argument
230 func(parent_, rng_, GpuMemoryMutable(v), element_count, mean, stddev); in DoPopulateRandGaussianInternal()
241 bool GpuRng::DoPopulateRandGaussian(Stream* stream, float mean, float stddev, in DoPopulateRandGaussian() argument
243 return DoPopulateRandGaussianInternal(stream, mean, stddev, v, in DoPopulateRandGaussian()
247 bool GpuRng::DoPopulateRandGaussian(Stream* stream, double mean, double stddev, in DoPopulateRandGaussian() argument
249 return DoPopulateRandGaussianInternal(stream, mean, stddev, v, in DoPopulateRandGaussian()
/external/tensorflow/tensorflow/compiler/mlir/xla/transforms/
Dunfuse_batch_norm.cc105 Value stddev = in matchAndRewrite() local
108 stddev = rewriter.create<xla_hlo::SqrtOp>(bn_op.getLoc(), stddev); in matchAndRewrite()
118 bn_op.getLoc(), input_type, stddev, feature_dim, rewriter); in matchAndRewrite()
/external/tensorflow/tensorflow/stream_executor/gpu/
Dgpu_rng.h62 bool DoPopulateRandGaussian(Stream* stream, float mean, float stddev,
64 bool DoPopulateRandGaussian(Stream* stream, double mean, double stddev,
75 bool DoPopulateRandGaussianInternal(Stream* stream, ElemT mean, ElemT stddev,
/external/tensorflow/tensorflow/compiler/xla/
Darray.cc23 void Array<complex64>::FillRandom(const complex64& stddev, const double mean, in FillRandom() argument
26 std::normal_distribution<double> distribution(mean, std::real(stddev)); in FillRandom()
/external/tensorflow/tensorflow/examples/tutorials/mnist/
Dmnist.py61 stddev=1.0 / math.sqrt(float(IMAGE_PIXELS))), name='weights')
70 stddev=1.0 / math.sqrt(float(hidden1_units))), name='weights')
79 stddev=1.0 / math.sqrt(float(hidden2_units))), name='weights')
/external/tensorflow/tensorflow/lite/testing/
Dgenerate_testspec_test.cc47 float stddev = sum_x_square / num - (sum_x / num) * (sum_x / num); in TEST() local
51 EXPECT_GT(stddev, minstddev); in TEST()

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