| /external/sonic/ |
| D | Main.java | 9 import javax.sound.sampled.AudioFormat;
10 import javax.sound.sampled.AudioInputStream;
11 import javax.sound.sampled.AudioSystem;
12 import javax.sound.sampled.DataLine;
13 import javax.sound.sampled.LineUnavailableException;
14 import javax.sound.sampled.SourceDataLine;
15 import javax.sound.sampled.UnsupportedAudioFileException;
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| /external/llvm/test/tools/llvm-profdata/ |
| D | overflow-sample.test | 1 Tests for overflow when merging sampled profiles.
7 SHOW_OVERFLOW: Function: main: 2000, 0, 2 sampled lines
13 SHOW_OVERFLOW-NEXT: Function: _Z3fooi: 18446744073709551615, 2000, 1 sampled lines
18 SHOW_OVERFLOW-NEXT: Function: _Z3bari: 18446744073709551615, 2000, 1 sampled lines
28 SHOW_NO_OVERFLOW: Function: main: 1000, 0, 2 sampled lines
34 SHOW_NO_OVERFLOW-NEXT: Function: _Z3fooi: 18446744073709551615, 1000, 1 sampled lines
39 SHOW_NO_OVERFLOW-NEXT: Function: _Z3bari: 18446744073709551615, 1000, 1 sampled lines
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| D | sample-profile-basic.test | 5 SHOW1: Function: main: 184019, 0, 7 sampled lines
7 SHOW1: Function: _Z3fooi: 7711, 610, 1 sampled lines
8 SHOW1: Function: _Z3bari: 20301, 1437, 1 sampled lines
13 SHOW2: Function: _Z3bari: 20301, 1437, 1 sampled lines
15 SHOW2-NOT: Function: main: 184019, 0, 7 sampled lines
16 SHOW2-NOT: Function: _Z3fooi: 7711, 610, 1 sampled lines
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| D | inline-samples.test | 10 SHOW1: Function: main: 366846, 0, 6 sampled lines
11 SHOW1: 2.3: inlined callee: _Z3fool: 246044, 0, 3 sampled lines
12 SHOW1: 1.3: inlined callee: _Z3bari: 0, 0, 2 sampled lines
13 SHOW1: 1.7: inlined callee: _Z3bari: 99492, 0, 2 sampled lines
15 SHOW1: 1.8: inlined callee: _Z3bari: 0, 0, 2 sampled lines
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| D | gcc-gcov-sample-profile.test | 11 SHOW1: Function: main: 364084, 0, 6 sampled lines
12 SHOW1: 2.3: inlined callee: _Z3fool: 243786, 0, 3 sampled lines
13 SHOW1: 1.3: inlined callee: _Z3bari: 0, 0, 2 sampled lines
14 SHOW1: 1.7: inlined callee: _Z3bari: 98558, 0, 2 sampled lines
15 SHOW1: 1.8: inlined callee: _Z3bari: 0, 0, 2 sampled lines
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| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_AllCandidateSampler.pbtxt | 14 the ID of a sampled candidate.
22 of sampled candidates. If unique=true, then this is a probability.
28 A vector of length num_sampled, for each sampled
30 to occur in a batch of sampled candidates. If unique=true, then this is a
49 If unique is true, we sample with rejection, so that all sampled
73 For each batch, this op picks a single set of sampled candidate labels.
77 the sampled candidates must be chosen independently of the context and of the
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| D | api_def_LearnedUnigramCandidateSampler.pbtxt | 14 the ID of a sampled candidate.
22 of sampled candidates. If unique=true, then this is a probability.
28 A vector of length num_sampled, for each sampled
30 to occur in a batch of sampled candidates. If unique=true, then this is a
49 If unique is true, we sample with rejection, so that all sampled
79 For each batch, this op picks a single set of sampled candidate labels.
83 the sampled candidates must be chosen independently of the context and of the
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| D | api_def_LogUniformCandidateSampler.pbtxt | 14 the ID of a sampled candidate.
22 of sampled candidates. If unique=true, then this is a probability.
28 A vector of length num_sampled, for each sampled
30 to occur in a batch of sampled candidates. If unique=true, then this is a
49 If unique is true, we sample with rejection, so that all sampled
79 For each batch, this op picks a single set of sampled candidate labels.
83 the sampled candidates must be chosen independently of the context and of the
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| D | api_def_ThreadUnsafeUnigramCandidateSampler.pbtxt | 15 the ID of a sampled candidate.
23 of sampled candidates. If unique=true, then this is a probability.
29 A vector of length num_sampled, for each sampled
31 to occur in a batch of sampled candidates. If unique=true, then this is a
50 If unique is true, we sample with rejection, so that all sampled
80 For each batch, this op picks a single set of sampled candidate labels.
84 the sampled candidates must be chosen independently of the context and of the
|
| D | api_def_UniformCandidateSampler.pbtxt | 14 the ID of a sampled candidate.
22 of sampled candidates. If unique=true, then this is a probability.
28 A vector of length num_sampled, for each sampled
30 to occur in a batch of sampled candidates. If unique=true, then this is a
49 If unique is true, we sample with rejection, so that all sampled
79 For each batch, this op picks a single set of sampled candidate labels.
83 the sampled candidates must be chosen independently of the context and of the
|
| D | api_def_FixedUnigramCandidateSampler.pbtxt | 14 the ID of a sampled candidate.
22 of sampled candidates. If unique=true, then this is a probability.
28 A vector of length num_sampled, for each sampled
30 to occur in a batch of sampled candidates. If unique=true, then this is a
49 If unique is true, we sample with rejection, so that all sampled
137 For each batch, this op picks a single set of sampled candidate labels.
141 the sampled candidates must be chosen independently of the context and of the
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| D | api_def_ComputeAccidentalHits.pbtxt | 58 SparseToDense op, then added to the logits of the sampled candidates. This has
59 the effect of 'removing' the sampled labels that match the true labels by
60 making the classifier sure that they are sampled labels.
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| /external/tensorflow/tensorflow/contrib/nn/python/ops/ |
| D | sampling_ops.py | 79 sampled, true_expected_count, sampled_expected_count = sampled_values
81 sampled = math_ops.cast(array_ops.stop_gradient(sampled), dtypes.int64)
97 weights, sampled, partition_strategy, transform_fn=logsumexp_logit)
99 embedding_ops.embedding_lookup(biases, sampled, partition_strategy), [-1])
103 resampled = array_ops.gather(sampled, indices=resampled_indices)
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| /external/mesa3d/src/gallium/docs/source/cso/ |
| D | sampler.rst | 26 color is never sampled.
28 border color is sampled when coords go outside the range [0,1].
69 the texture LOD value are sampled from. The results of sampling from
78 sampled texture value (typically a Z value from a depth texture) to the
109 if max_anistropy=4, a region of up to 1 by 4 texels will be sampled.
115 cube map faces when sampled near a texture border to produce a seamless
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| /external/tensorflow/tensorflow/python/ops/ |
| D | nn_test.py | 464 sampled, subtract_log_q): argument
498 sampled_exp = np.full([len(sampled)], fill_value=0.5, dtype=np.float32)
499 sampled_vals = (sampled, true_exp, sampled_exp)
501 sampled_w, sampled_b = weights[sampled], biases[sampled]
562 sampled=[1, 0, 2, 3],
598 sampled=[1, 0, 2, 3],
623 sampled = [1, 0, 2, 3]
635 sampled=sampled,
643 num_sampled=len(sampled),
657 for col in xrange(len(sampled)):
[all …]
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| D | nn_impl.py | 1046 sampled, true_expected_count, sampled_expected_count = (
1049 sampled = math_ops.cast(sampled, dtypes.int64)
1053 all_ids = array_ops.concat([labels_flat, sampled], 0)
1101 labels, sampled, num_true=num_true)
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| /external/tensorflow/tensorflow/python/ops/distributions/ |
| D | exponential.py | 129 sampled = random_ops.random_uniform(
135 return -math_ops.log(sampled) / self._rate
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| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| D | half_normal.py | 145 sampled = random_ops.random_normal(
147 return math_ops.abs(sampled * self.scale)
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| D | gumbel.py | 187 sampled = -math_ops.log(-math_ops.log(uniform))
188 return sampled * self.scale + self.loc
|
| D | geometric.py | 136 sampled = random_ops.random_uniform(
144 math_ops.log(sampled) / math_ops.log1p(-self.probs))
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| D | logistic.py | 182 sampled = math_ops.log(uniform) - math_ops.log1p(-1. * uniform)
183 return sampled * self.scale + self.loc
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| /external/deqp/doc/testspecs/GLES31/ |
| D | functional.shaders.multisample_interpolation.txt | 47 1 different shades of gray, e.g. single sampled render target should contain two
48 shades (black and white) and 2x sampled three shades.
57 sample index "depends" (all samples are sampled anyway) on uniform values.
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| /external/deqp/doc/testspecs/GLES2/ |
| D | performance.texture.format.txt | 47 Textures are sampled in range (0, 0) -> (1, 1). Vertex-side tests use
50 sampled in each draw call.
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| D | candidate_sampler_ops_test.py | 115 sampled, _, _ = candidate_sampling_ops.log_uniform_candidate_sampler(
117 return sampled.eval()
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| /external/jemalloc/include/jemalloc/internal/ |
| D | prof.h | 501 bool sampled, old_sampled; in prof_realloc() local
521 sampled = ((uintptr_t)tctx > (uintptr_t)1U); in prof_realloc()
524 if (unlikely(sampled)) in prof_realloc()
|