| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_SparseAccumulatorTakeGradient.pbtxt | 18 Indices of the average of the accumulated sparse gradients.
24 Values of the average of the accumulated sparse gradients.
30 Shape of the average of the accumulated sparse gradients.
36 The data type of accumulated gradients. Needs to correspond to the type
43 gradients have been accumulated. If the accumulator has already
45 average of the accumulated gradients. Also automatically increments
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| D | api_def_ResourceAccumulatorTakeGradient.pbtxt | 19 The average of the accumulated gradients.
25 The data type of accumulated gradients. Needs to correspond to the type
32 gradients have been accumulated. If the accumulator has already
34 the accumulated gradients. Also automatically increments the recorded
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| D | api_def_AccumulatorTakeGradient.pbtxt | 18 The average of the accumulated gradients.
24 The data type of accumulated gradients. Needs to correspond to the type
31 gradients have been accumulated. If the accumulator has already
33 the accumulated gradients. Also automatically increments the recorded
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| D | api_def_SparseAccumulatorApplyGradient.pbtxt | 18 Indices of the sparse gradient to be accumulated. Must be a
33 Shape of the sparse gradient to be accumulated.
39 The data type of accumulated gradients. Needs to correspond to the type
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| D | api_def_BoostedTreesAggregateStats.pbtxt | 32 containing accumulated stats for each node, feature dimension and bucket.
47 summary: "Aggregates the summary of accumulated stats for the batch."
49 The summary stats contains gradients and hessians accumulated for each node, feature dimension id a…
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| D | api_def_BoostedTreesMakeStatsSummary.pbtxt | 31 output Rank 4 Tensor (shape=[#features, #splits, #buckets, 2]) containing accumulated stats put int…
52 summary: "Makes the summary of accumulated stats for the batch."
54 The summary stats contains gradients and hessians accumulated into the corresponding node and bucke…
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| D | api_def_AccumulatorApplyGradient.pbtxt | 18 A tensor of the gradient to be accumulated.
24 The data type of accumulated gradients. Needs to correspond to the type
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| D | api_def_ResourceAccumulatorApplyGradient.pbtxt | 19 A tensor of the gradient to be accumulated.
25 The data type of accumulated gradients. Needs to correspond to the type
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| D | api_def_SparseConditionalAccumulator.pbtxt | 12 The type of the value being accumulated.
40 gradients have been accumulated. Extracting the average automatically
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| D | api_def_ConditionalAccumulator.pbtxt | 12 The type of the value being accumulated.
40 gradients have been accumulated. Extracting the average automatically
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| D | api_def_ResourceConditionalAccumulator.pbtxt | 13 The type of the value being accumulated.
41 gradients have been accumulated. Extracting the average automatically
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| D | api_def_BoostedTreesSparseAggregateStats.pbtxt | 83 summary: "Aggregates the summary of accumulated stats for the batch."
85 The summary stats contains gradients and hessians accumulated for each node, bucket and dimension i…
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| D | api_def_BoostedTreesQuantileStreamResourceGetBucketBoundaries.pbtxt | 22 summary: "Generate the bucket boundaries for each feature based on accumulated summaries."
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| /external/minijail/tools/ |
| D | compiler.py | 53 self.accumulated = 0
76 self.accumulated = 0
193 accumulated = 0
195 accumulated += entry.frequency
196 entry.accumulated = accumulated
227 previous_accumulated = ranges[indices[0]].accumulated - ranges[
230 ranges[indices[1] - 1].accumulated - previous_accumulated)
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| /external/perfetto/protos/perfetto/trace/power/ |
| D | android_energy_estimation_breakdown.proto | 35 // Total accumulated energy since boot in microwatt-seconds (uWs)
39 // Android ID/Linux UID, the accumulated energy is attributed to.
47 // to total accumulated energy.
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| /external/google-java-format/core/src/main/java/com/google/googlejavaformat/java/javadoc/ |
| D | JavadocLexer.java | 276 StringBuilder accumulated = new StringBuilder(); in joinAdjacentLiteralsAndAdjacentWhitespace() local
280 accumulated.append(tokens.peek().getValue()); in joinAdjacentLiteralsAndAdjacentWhitespace()
292 if (accumulated.length() == 0) { in joinAdjacentLiteralsAndAdjacentWhitespace()
305 accumulated.append(" "); in joinAdjacentLiteralsAndAdjacentWhitespace()
306 accumulated.append(tokens.peek().getValue()); in joinAdjacentLiteralsAndAdjacentWhitespace()
311 output.add(new Token(LITERAL, accumulated.toString())); in joinAdjacentLiteralsAndAdjacentWhitespace()
312 accumulated.setLength(0); in joinAdjacentLiteralsAndAdjacentWhitespace()
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| /external/tensorflow/tensorflow/core/profiler/protobuf/ |
| D | tf_stats.proto | 40 // Total "accumulated" time in micro-seconds that the operation
42 // the "accumulated" time includes the time spent inside children.
44 // Average "accumulated" time in micro-seconds that each
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| D | input_pipeline.proto | 100 // Time (accumulated over all occurrences) in milliseconds.
102 // Time (accumulated over all occurrences) in
105 // Self time (accumulated over all occurrences) in milliseconds.
107 // Self time (accumulated over all occurrences) in
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| /external/python/google-api-python-client/ |
| D | describe.py | 268 accumulated = []
271 prefix = ".".join(accumulated)
280 accumulated.append(p)
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| /external/webp/src/enc/ |
| D | predictor_enc.c | 46 static float PredictionCostSpatialHistogram(const int accumulated[4][256], in PredictionCostSpatialHistogram()
53 retval += VP8LCombinedShannonEntropy(tile[i], accumulated[i]); in PredictionCostSpatialHistogram()
300 int accumulated[4][256], in GetBestPredictorForTile()
386 (const int (*)[256])accumulated, (const int (*)[256])histo_argb); in GetBestPredictorForTile()
402 accumulated[i][j] += best_histo[i][j]; in GetBestPredictorForTile()
531 static float PredictionCostCrossColor(const int accumulated[256], in PredictionCostCrossColor()
536 return VP8LCombinedShannonEntropy(counts, accumulated) + in PredictionCostCrossColor()
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| /external/tremolo/Tremolo/ |
| D | vorbisfile.c | 408 ogg_int64_t accumulated=0,pos; in _prefetch_all_offsets() local
434 accumulated+=(lastblock+thisblock)>>2; in _prefetch_all_offsets()
442 accumulated= pos-accumulated; in _prefetch_all_offsets()
449 if(accumulated<0)accumulated=0; in _prefetch_all_offsets()
451 vf->pcmlengths[i*2]=accumulated; in _prefetch_all_offsets()
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| /external/rust/crates/grpcio-sys/grpc/third_party/upb/cmake/upb/json/ |
| D | parser.c | 257 const char *accumulated; member
595 UPB_ASSERT(p->accumulated == NULL); in assert_accumulate_empty()
600 p->accumulated = NULL; in accumulate_clear()
631 if (!p->accumulated && can_alias) { in accumulate_append()
632 p->accumulated = buf; in accumulate_append()
646 if (p->accumulated != p->accumulate_buf) { in accumulate_append()
648 memcpy(p->accumulate_buf, p->accumulated, p->accumulated_len); in accumulate_append()
650 p->accumulated = p->accumulate_buf; in accumulate_append()
662 UPB_ASSERT(p->accumulated); in accumulate_getptr()
664 return p->accumulated; in accumulate_getptr()
[all …]
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| /external/tensorflow/tensorflow/core/profiler/g3doc/ |
| D | options.md | 48 tracks the accumulated processing times. Hence, the accumulated processing
60 accumulated memory request is usually larger than the peak memory of the overall
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| /external/angle/src/libANGLE/renderer/metal/doc/ |
| D | OcclusionQueries.md | 38 - Note that if the query spans across multiple render passes, its old value will be accumulated
45 in both the old offset and the new offset will be accumulated together.
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| /external/XNNPACK/src/f32-raddextexp/ |
| D | avx2-p5.c.in | 118 // Update accumulated "mantissa" and "exponent" values
187 // Update accumulated "mantissa" and "exponent" values.
231 // Update accumulated "mantissa" and "exponent" values.
|