Searched refs:sampled (Results 1 - 17 of 17) sorted by relevance

/external/sonic/
H A DMain.java9 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;
/external/tensorflow/tensorflow/contrib/nn/python/ops/
H A Dsampling_ops.py72 `resampled_expected_count`), similar to `sampled_values` but sampled
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)
133 The logits are calculated on those sampled classes. This phases is
197 where a sampled class equals one of the target classes.
204 A `batch_size` 1-D tensor of per-example sampled softma
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/external/tensorflow/tensorflow/python/ops/distributions/
H A Dexponential.py122 # Uniform variates must be sampled from the open-interval `(0, 1)` rather
129 sampled = random_ops.random_uniform(
135 return -math_ops.log(sampled) / self._rate
H A Dnormal.py184 sampled = random_ops.random_normal(
186 return sampled * self.scale + self.loc
/external/tensorflow/tensorflow/contrib/distributions/python/ops/
H A Dgeometric.py129 # Uniform variates must be sampled from the open-interval `(0, 1)` rather
136 sampled = random_ops.random_uniform(
144 math_ops.log(sampled) / math_ops.log1p(-self.probs))
H A Dgumbel.py174 # Uniform variates must be sampled from the open-interval `(0, 1)` rather
187 sampled = -math_ops.log(-math_ops.log(uniform))
188 return sampled * self.scale + self.loc
H A Dhalf_normal.py145 sampled = random_ops.random_normal(
147 return math_ops.abs(sampled * self.scale)
H A Dlogistic.py169 # Uniform variates must be sampled from the open-interval `(0, 1)` rather
182 sampled = math_ops.log(uniform) - math_ops.log1p(-1. * uniform)
183 return sampled * self.scale + self.loc
/external/tensorflow/tensorflow/python/kernel_tests/
H A Dcandidate_sampler_ops_test.py115 sampled, _, _ = candidate_sampling_ops.log_uniform_candidate_sampler(
117 return sampled.eval()
/external/tensorflow/tensorflow/python/ops/
H A Dnn_test.py464 sampled, subtract_log_q):
475 sampled: A list of indices in [0, num_classes).
486 sampled_vals: A tuple based on `sampled` to use as test input in the
489 It is a numpy array of shape [batch_size, num_true + len(sampled)].
491 It is a numpy array of shape [batch_size, num_true + len(sampled)].
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
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H A Dnn_impl.py976 Computes sampled output training logits and labels suitable for implementing
977 e.g. noise-contrastive estimation (see nce_loss) or sampled softmax (see
1005 where a sampled class equals one of the target classes. Default is
1017 `nn.softmax_cross_entropy_with_logits` (sampled softmax).
1033 # sampled shape: [num_sampled] tensor
1046 sampled, true_expected_count, sampled_expected_count = (
1049 sampled = math_ops.cast(sampled, dtypes.int64)
1052 # sampled is a [num_sampled] int tensor
1053 all_ids = array_ops.concat([labels_flat, sampled],
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/external/jemalloc/include/jemalloc/internal/
H A Dprof.h501 bool sampled, old_sampled; local
521 sampled = ((uintptr_t)tctx > (uintptr_t)1U);
524 if (unlikely(sampled))
/external/vulkan-validation-layers/demos/android/include/
H A Dcube.frag.h37 10: TypeImage 6(float) 2D sampled format:Unknown
/external/mesa3d/docs/specs/
H A DWL_bind_wayland_display.spec120 be sampled from each EGLImage and how they map to rgba components
153 Treated as a single plane texture, but sampled with
/external/mesa3d/src/compiler/spirv/
H A Dspirv_to_nir.c848 unsigned sampled = w[7]; local
863 if (sampled == 1) {
866 } else if (sampled == 2) {
872 assert(!"We need to know if the image will be sampled");
1431 struct vtn_sampled_image sampled; local
1434 sampled = *sampled_val->sampled_image;
1437 sampled.image = NULL;
1438 sampled.sampler = sampled_val->access_chain;
1442 if (sampled.image) {
1443 image_type = sampled
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/external/vulkan-validation-layers/layers/
H A Dshader_validation.cpp243 ss << "image(dim=" << insn.word(3) << ", sampled=" << insn.word(7) << ")";
924 worklist.insert(insn.word(3)); // Image or sampled image
1079 auto sampled = image_type.word(7); local
1080 return dim == spv::DimBuffer && sampled == 1;
1086 // SPIRV for Vulkan requires that sampled be 1 or 2 -- leaving the decision to runtime is unacceptable.
1088 auto sampled = type.word(7); local
1093 if (sampled == 1) {
1098 } else if (sampled == 1) {
/external/ImageMagick/www/api/
H A Dresize.php336 <dd>the number of columns in the sampled image. </dd>
340 <dd>the number of rows in the sampled image. </dd>

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