/frameworks/ml/nn/runtime/test/generated/models/ |
D | hashtable_lookup_quant8.model.cpp | 14 auto hits = model->addOperand(&type4); in CreateModel() local 16 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits}); in CreateModel() 20 {output, hits}); in CreateModel() 40 auto hits = model->addOperand(&type6); in CreateModel_dynamic_output_shape() local 42 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits}); in CreateModel_dynamic_output_shape() 46 {output, hits}); in CreateModel_dynamic_output_shape()
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D | hashtable_lookup_float.model.cpp | 14 auto hits = model->addOperand(&type4); in CreateModel() local 16 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits}); in CreateModel() 20 {output, hits}); in CreateModel() 40 auto hits = model->addOperand(&type6); in CreateModel_dynamic_output_shape() local 42 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits}); in CreateModel_dynamic_output_shape() 46 {output, hits}); in CreateModel_dynamic_output_shape()
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D | hashtable_lookup_float_relaxed.model.cpp | 14 auto hits = model->addOperand(&type4); in CreateModel() local 16 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits}); in CreateModel() 20 {output, hits}); in CreateModel() 42 auto hits = model->addOperand(&type6); in CreateModel_dynamic_output_shape() local 44 model->addOperation(ANEURALNETWORKS_HASHTABLE_LOOKUP, {lookup, key, value}, {output, hits}); in CreateModel_dynamic_output_shape() 48 {output, hits}); in CreateModel_dynamic_output_shape()
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/frameworks/ml/nn/runtime/test/specs/V1_0/ |
D | hashtable_lookup_quant8.mod.py | 33 hits = Output("hits", "TENSOR_QUANT8_ASYMM", "{%d}, 1.f, 0" % (lookups)) variable 34 model = model.Operation("HASHTABLE_LOOKUP", lookup, key, value).To([output, hits]) 47 hits:
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D | hashtable_lookup_float.mod.py | 33 hits = Output("hits", "TENSOR_QUANT8_ASYMM", "{%d}, 1.f, 0" % (lookups)) variable 34 model = model.Operation("HASHTABLE_LOOKUP", lookup, key, value).To([output, hits]) 47 hits:
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
D | hashtable_lookup_float_relaxed.mod.py | 33 hits = Output("hits", "TENSOR_QUANT8_ASYMM", "{%d}, 1.f, 0" % (lookups)) variable 34 model = model.Operation("HASHTABLE_LOOKUP", lookup, key, value).To([output, hits]) 48 hits:
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/frameworks/base/core/java/android/database/sqlite/ |
D | SQLiteDebug.java | 165 int hits, int misses, int cachesize) { in DbStats() argument 170 this.cache = hits + "/" + misses + "/" + cachesize; in DbStats()
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/frameworks/native/opengl/libagl/ |
D | array.cpp | 402 uint32_t hits = total - misses; in dump_stats() local 416 total, hits, misses, (hits*100)/total, in dump_stats()
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/frameworks/ml/nn/runtime/test/ |
D | TestValidateOperations.cpp | 1611 ANeuralNetworksOperandType hits = lookup; in hashtableLookupTest() local 1612 hits.type = ANEURALNETWORKS_TENSOR_QUANT8_ASYMM; in hashtableLookupTest() 1613 hits.scale = 1.0f; in hashtableLookupTest() 1616 {output, hits}); in hashtableLookupTest()
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/frameworks/ml/nn/common/ |
D | CpuExecutor.cpp | 1065 RunTimeOperandInfo& hits = mOperands[outs[HashtableLookup::kHitsTensor]]; in executeOperation() local 1073 setInfoAndAllocateIfNeeded(&hits, hitShape, &result) && lookup.Eval(); in executeOperation()
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/frameworks/base/core/proto/android/server/ |
D | activitymanagerservice.proto | 342 // Statement cache stats: hits/misses/cachesize
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