| /external/perfetto/src/ftrace_reader/test/data/android_walleye_OPM5.171019.017.A1_4.4.88/events/msm_low_power/cpu_pred_select/ |
| D | format | 10 field:u64 predicted; offset:16; size:8; signed:0;
13 print fmt: "pred:%u time:%lu tmr_time:%u", REC->predtype, (unsigned long)REC->predicted, REC->tmr_t…
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| /external/perf_data_converter/src/quipper/ |
| D | perf_parser.h | 92 bool predicted; member
97 return predicted == other.predicted && from == other.from &&
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| D | perf_parser.cc | 552 parsed_entry.predicted = !entry->mispredicted(); in MapBranchStack()
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| D | perf_serializer.cc | 480 entry.flags.predicted = !entry.flags.mispred; in DeserializeSampleEvent()
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| /external/tremolo/Tremolo/ |
| D | floor1.c | 334 int predicted=render_point(info->postlist[info->loneighbor[i-2]], in floor1_inverse1() local
339 int hiroom=quant_q-predicted; in floor1_inverse1()
340 int loroom=predicted; in floor1_inverse1()
359 fit_value[i]=val+predicted; in floor1_inverse1()
364 fit_value[i]=predicted|0x8000; in floor1_inverse1()
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| /external/llvm/test/Analysis/BlockFrequencyInfo/ |
| D | basic.ll | 37 ; The 'then' branch is predicted more likely via branch weight metadata.
72 ; The 'case_c' branch is predicted more likely via branch weight metadata.
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| /external/python/cpython2/Parser/ |
| D | spark.py | 376 predicted = {}
397 if not predicted.has_key(nextSym):
398 predicted[nextSym] = 1
421 core = predicted.keys()
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| /external/tensorflow/tensorflow/docs_src/tutorials/ |
| D | audio_recognition.md | 56 `accuracy 7.0%` is the how many classes were correctly predicted on this
59 each label, and each number is the predicted likelihood of the input being that
60 class. The predicted label is picked by choosing the entry with the highest
105 that were predicted to be each label, so the first column represents all the
106 clips that were predicted to be silence, the second all those that were
107 predicted to be unknown words, the third "yes", and so on.
122 column represents all the clips that were predicted to be silence, so positive
124 spoken words are actually being predicted to be silence, so we do have quite a
374 on ensuring the predicted labels are highly likely to be correct even if some
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| D | layers.md | 420 * The **predicted class** for each example: a digit from 0–9.
424 For a given example, our predicted class is the element in the corresponding row
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| /external/perf_data_converter/src/quipper/kernel/ |
| D | perf_event.h | 896 predicted : 1, /* target predicted */ member
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| D | perf_internals.h | 220 u64 predicted : 1; member
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| /external/kernel-headers/original/uapi/linux/ |
| D | perf_event.h | 1077 predicted:1,/* target predicted */ member
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| /external/llvm/lib/Target/AArch64/ |
| D | AArch64.td | 77 "Prefer likely predicted branches over selects">;
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| /external/libtextclassifier/ |
| D | model.fbs | 142 // in the predicted selection are stripped from the both selection ends.
560 // predicted spans.
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| /external/icu/icu4c/source/data/translit/ |
| D | ThaiLogical_Latin.txt | 22 # COMMENTED out: the implicit vowel positions cannot be predicted algorithmically
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| /external/tensorflow/tensorflow/docs_src/api_guides/python/ |
| D | regression_examples.md | 139 After training the model, the program concludes by outputting predicted
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| /external/tensorflow/tensorflow/contrib/tensor_forest/ |
| D | README.md | 87 For regression problems, TensorForests's output are the predicted regression
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| /external/tensorflow/tensorflow/docs_src/programmers_guide/ |
| D | estimators.md | 190 and similarly, the predicted output names can be obtained from
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| D | low_level_intro.md | 488 The model hasn't yet been trained, so the four "predicted" values aren't very
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| /external/python/cpython2/Doc/library/ |
| D | audioop.rst | 251 element (the predicted value) in 16 bits and the second (the delta index) in 8.
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| /external/python/cpython3/Doc/library/ |
| D | audioop.rst | 259 element (the predicted value) in 16 bits and the second (the delta index) in 8.
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| /external/tensorflow/tensorflow/tools/docker/notebooks/ |
| D | 3_mnist_from_scratch.ipynb | 1589 …"Now we can compare the predicted and label classes to compute the error rate and confusion matrix…
1663 "for predicted, actual in bundled:\n",
1664 " confusions[predicted, actual] += 1\n",
1742 " for predicted, actual in bundled:\n",
1743 " confusions[predicted, actual] += 1\n",
1757 …"We'll need to train for some time to actually see useful predicted values. Let's define a loop th…
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| /external/tensorflow/tensorflow/docs_src/mobile/ |
| D | linking_libs.md | 187 images from a camera) and receive outputs (for example, predicted labels).
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| /external/tensorflow/tensorflow/contrib/slim/ |
| D | README.md | 424 distribution and the predicted probability distribution across
426 between the predicted and true values.
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| /external/tensorflow/tensorflow/docs_src/get_started/ |
| D | get_started_for_beginners.md | 94 between the sepal and petal measurements and the predicted Iris species. Some
|