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  /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
poisson_test.py 23 from tensorflow.contrib.distributions.python.ops import poisson as poisson_lib
35 return poisson_lib.Poisson(rate=rate, validate_args=validate_args)
40 poisson = self._make_poisson(rate=lam)
42 self.assertEqual(poisson.batch_shape_tensor().eval(), (5,))
43 self.assertEqual(poisson.batch_shape, tensor_shape.TensorShape([5]))
44 self.assertAllEqual(poisson.event_shape_tensor().eval(), [])
45 self.assertEqual(poisson.event_shape, tensor_shape.TensorShape([]))
52 poisson = self._make_poisson(rate=lam, validate_args=True)
53 poisson.rate.eval()
61 poisson = self._make_poisson(rate=lam
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batch_reshape_test.py 25 from tensorflow.contrib.distributions.python.ops import poisson as poisson_lib
530 poisson_4 = poisson_lib.Poisson(rate)
  /external/eigen/doc/special_examples/
random_cpp11.cpp 10 auto poisson = [&] () {return distribution(generator);}; local
12 RowVectorXi v = RowVectorXi::NullaryExpr(10, poisson );
  /external/grpc-grpc/src/php/tests/qps/
client.php 112 if (0 && $config->getLoadParams()->getLoad() == "poisson") {
113 $poisson = true; variable
117 $poisson = false; variable
126 if ($poisson) {
151 if ($poisson) {
  /external/tensorflow/tensorflow/contrib/keras/api/keras/losses/
__init__.py 33 from tensorflow.python.keras.losses import poisson
  /external/tensorflow/tensorflow/contrib/keras/api/keras/metrics/
__init__.py 33 from tensorflow.python.keras.metrics import poisson
  /external/grpc-grpc/src/python/grpcio_tests/tests/qps/
worker_server.py 168 else: # Open loop Poisson
169 alpha = config.load_params.poisson.offered_load / load_factor
171 def poisson(): function in function:WorkerServer._create_client_runner
175 runner = client_runner.OpenLoopClientRunner(client, poisson())
  /external/grpc-grpc/src/ruby/qps/
client.rb 28 class Poisson
88 when 'poisson'
89 waiter = Poisson.new(config.load_params.poisson.offered_load /
  /external/grpc-grpc/src/ruby/qps/src/proto/grpc/testing/
control_pb.rb 17 optional :poisson, :message, 2, "grpc.testing.PoissonParams"
  /external/tensorflow/tensorflow/contrib/distributions/
__init__.py 61 from tensorflow.contrib.distributions.python.ops.poisson import *
133 'Poisson',
  /external/tensorflow/tensorflow/python/kernel_tests/random/
random_poisson_test.py 73 stats.poisson(lam),
  /external/ImageMagick/MagickCore/
gem.c 1540 poisson; local
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accelerate-kernels-private.h 811 poisson;
813 poisson=exp(-SigmaPoisson*QuantumScale*pixel);
814 for (i=0; alpha > poisson; i++)
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  /external/tensorflow/tensorflow/contrib/distributions/python/ops/
poisson_lognormal.py 24 from tensorflow.contrib.distributions.python.ops import poisson as poisson_lib
77 `log_rate` parameters of a `Poisson`.
125 `log_rate` parameters of a `Poisson`.
175 Poisson-LogNormal [compound distribution](
180 = int_{R_+} dl LogNormal(l | loc, scale) Poisson(k | l)
181 approx= sum{ prob[d] Poisson(k | lambda(grid[d])) : d=0, ..., deg-1 }
189 Poisson rate parameter. Unfortunately, the non-approximate distribution lacks
195 Poisson-LogNormal compound distribution, it is itself a valid distribution.
201 The `PoissonLogNormalQuadratureCompound` approximates a Poisson-LogNormal
207 parameter-less convex combination of `deg` different Poisson samples
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  /external/grpc-grpc/test/cpp/qps/
client.h 268 new ExpDist(load.poisson().offered_load() / num_threads));
  /external/tensorflow/tensorflow/python/keras/
metrics.py 45 from tensorflow.python.keras.losses import poisson
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losses_test.py 47 keras.losses.poisson,
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  /external/grpc-grpc/src/csharp/Grpc.IntegrationTesting/
Control.cs 109 new pbr::GeneratedClrTypeInfo(typeof(global::Grpc.Testing.LoadParams), global::Grpc.Testing.LoadParams.Parser, new[]{ "ClosedLoop", "Poisson" }, new[]{ "Load" }, null, null),
167 /// Parameters of poisson process distribution, which is a good representation
436 case LoadOneofCase.Poisson:
437 Poisson = other.Poisson.Clone();
460 /// <summary>Field number for the "poisson" field.</summary>
463 public global::Grpc.Testing.PoissonParams Poisson {
464 get { return loadCase_ == LoadOneofCase.Poisson ? (global::Grpc.Testing.PoissonParams) load_ : null; }
467 loadCase_ = value == null ? LoadOneofCase.None : LoadOneofCase.Poisson;
476 Poisson = 2
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