| /external/tensorflow/tensorflow/python/kernel_tests/distributions/ |
| D | multinomial_test.py | 28 from tensorflow.python.ops.distributions import multinomial
41 dist = multinomial.Multinomial(total_count=1., probs=p)
52 dist = multinomial.Multinomial(total_count=n, probs=p)
63 dist = multinomial.Multinomial(total_count=n, probs=p)
71 dist = multinomial.Multinomial(total_count=3., probs=p)
81 multinom = multinomial.Multinomial(total_count=3., logits=logits)
91 dist = multinomial.Multinomial(total_count=1., logits=logits)
100 dist = multinomial.Multinomial(total_count=n, probs=p, validate_args=True)
114 multinom = multinomial.Multinomial(
127 multinom = multinomial.Multinomial(
[all …]
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| /external/tensorflow/tensorflow/python/kernel_tests/random/ |
| D | multinomial_op_test.py | 52 native_sampler = random_ops.multinomial
65 samples = self.evaluate(random_ops.multinomial(
105 samples = self.evaluate(random_ops.multinomial(logits, 10))
142 sample_op1 = random_ops.multinomial(logits, num_samples, seed)
143 sample_op2 = random_ops.multinomial(logits, num_samples, seed)
195 random_ops.multinomial(
202 x = random_ops.multinomial(array_ops.zeros([5, 0]), 7)
211 samples = self.evaluate(random_ops.multinomial(logits, num_samples))
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| D | multinomial_op_big_test.py | 38 samples = random_ops.multinomial(
56 samples = random_ops.multinomial(
76 samples = random_ops.multinomial(
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| D | stateless_random_ops_test.py | 171 functools.partial(wrap, random_ops.multinomial, logits,
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| /external/tensorflow/tensorflow/lite/kernels/ |
| D | multinomial.cc | 28 namespace multinomial { namespace
199 static TfLiteRegistration r = {multinomial::Init, multinomial::Free, in Register_MULTINOMIAL()
200 multinomial::Prepare, multinomial::Eval}; in Register_MULTINOMIAL()
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| D | BUILD | 735 "multinomial.cc",
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| /external/tensorflow/tensorflow/compiler/tests/ |
| D | categorical_op_test.py | 62 op = random_ops.multinomial(logits, num_samples,
101 return random_ops.multinomial(np.array([[1., 1., 1.]], dtype=dtype), 10,
113 x = random_ops.multinomial(
176 x = random_ops.multinomial(
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_StatelessMultinomial.pbtxt | 29 summary: "Draws samples from a multinomial distribution."
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| D | api_def_Multinomial.pbtxt | 36 summary: "Draws samples from a multinomial distribution."
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | distributions.py | 35 from tensorflow.python.ops.distributions.multinomial import Multinomial
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| D | dirichlet_multinomial.py | 271 draws = random_ops.multinomial(
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| D | multinomial.py | 263 x = random_ops.multinomial(logits[array_ops.newaxis, ...], n_draw,
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| D | categorical.py | 277 draws = random_ops.multinomial(
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| /external/tensorflow/tensorflow/python/ops/ |
| D | random_ops.py | 472 def multinomial(logits, num_samples, seed=None, name=None, output_dtype=None): function
532 return gen_random_ops.multinomial(
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| /external/tensorflow/tensorflow/tools/api/golden/v1/ |
| D | tensorflow.distributions.-multinomial.pbtxt | 3 is_instance: "<class \'tensorflow.python.ops.distributions.multinomial.Multinomial\'>"
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| D | tensorflow.random.pbtxt | 52 name: "multinomial"
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| D | tensorflow.pbtxt | 1712 name: "multinomial"
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| /external/rust/crates/num-integer/src/ |
| D | lib.rs | 1127 pub fn multinomial<T: Integer + Clone>(k: &[T]) -> T in multinomial() function
1278 assert_eq!(multinomial(k), binomial(n, k[0])); in test_multinomial()
1312 assert_eq!(multinomial(k), expected); in test_multinomial()
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| /external/tensorflow/tensorflow/compiler/mlir/xla/tests/ |
| D | legalize-tf-with-tf2xla.mlir | 290 // CHECK-LABEL: multinomial
291 func @multinomial(%arg0: tensor<2x4xf32>, %seed: tensor<i32>, %seed2: tensor<i32>) -> tensor<2x10xi…
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| /external/tensorflow/tensorflow/tools/ci_build/ |
| D | pylint_allowlist | 96 ^tensorflow/python/ops/distributions/multinomial.py.*\[E1130.*invalid-unary-operand-type
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| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| D | pfor.py | 3138 samples = gen_random_ops.multinomial(
3146 samples = gen_random_ops.multinomial(
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| /external/tensorflow/tensorflow/compiler/mlir/tensorflow/ir/ |
| D | tf_generated_ops.td | 8697 let summary = "Draws samples from a multinomial distribution.";
14749 let summary = "Draws samples from a multinomial distribution.";
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| /external/tensorflow/ |
| D | RELEASE.md | 3759 * Fix incorrect sampling of small probabilities in CPU/GPU multinomial.
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| /external/one-true-awk/testdir/ |
| D | funstack.in | 17228 …arable closed queueing networks requires the evaluation of homogeneous multinomial expressions. Th…
17238 …operation count; expressions; homogeneous multinomial; Horner's rule; load dependent service rate;…
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