| /packages/modules/NeuralNetworks/common/types/operations/src/ |
| D | BidirectionalSequenceLSTM.cpp | 32 (context->getNumOutputs() == kNumOutputs || in validate()
33 context->getNumOutputs() == kNumOutputsMerged || in validate()
34 context->getNumOutputs() == kNumOutputsWithState || in validate()
35 context->getNumOutputs() == kNumOutputsMergedWithState)) in validate()
37 << ", expected 61) or output operands (" << context->getNumOutputs() in validate()
62 if (context->getNumOutputs() == kNumOutputsWithState || in validate()
63 context->getNumOutputs() == kNumOutputsMergedWithState) { in validate()
66 std::vector<OperandType> outExpectedTypes(context->getNumOutputs(), inputType); in validate()
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| D | Reshape.cpp | 29 context->getNumOutputs() == 1) in validateDepthToSpace()
31 << ", expected 3 or 2) or output operands (" << context->getNumOutputs() in validateDepthToSpace()
69 context->getNumOutputs() == 1) in validateSpaceToDepth()
71 << ", expected 3 or 2) or output operands (" << context->getNumOutputs() in validateSpaceToDepth()
108 NN_RET_CHECK(context->getNumInputs() == 2 && context->getNumOutputs() == 1) in validatePad()
156 NN_RET_CHECK(context->getNumInputs() == 3 && context->getNumOutputs() == 1) in validatePadV2()
204 context->getNumOutputs() == 1) in validateBatchToSpaceND()
206 << ", expected 3 or 2) or output operands (" << context->getNumOutputs() in validateBatchToSpaceND()
254 context->getNumOutputs() == 1) in validateSpaceToBatchND()
256 << ", expected 4 or 3) or output operands (" << context->getNumOutputs() in validateSpaceToBatchND()
[all …]
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| D | Elementwise.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
38 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateAbs()
50 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateFloor()
69 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateRsqrt()
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| D | Reduce.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateProdSum()
43 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateMaxMin()
66 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateLogical()
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| D | GenerateProposals.cpp | 30 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
58 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
107 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
172 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | LSTM.cpp | 29 context->getNumOutputs() == 4) in validate()
31 << ", expected 23 or 27) or output operands (" << context->getNumOutputs() in validate()
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| D | GroupedConv2D.cpp | 28 context->getNumOutputs() == 1) in validate()
30 << ", expected 12 or 9) or output operands (" << context->getNumOutputs() in validate()
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| D | Activation.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
55 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateHardSwish()
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| D | UnidirectionalSequenceLSTM.cpp | 28 const uint32_t numOutputs = context->getNumOutputs(); in validate()
71 if (context->getNumOutputs() == kNumOutputsWithState) { in validate()
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| D | LogicalNot.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | LogicalAndOr.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Neg.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Quantize.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Elu.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | PRelu.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Select.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Multinomial.cpp | 27 NN_RET_CHECK(context->getNumInputs() == 3 && context->getNumOutputs() == 1) in validate()
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| D | HashtableLookup.cpp | 27 NN_RET_CHECK(context->getNumInputs() == 3 && context->getNumOutputs() == 2) in validate()
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| D | Densify.cpp | 32 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Pow.cpp | 27 NN_RET_CHECK(context->getNumInputs() == 2 && context->getNumOutputs() == 1) in validate()
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| D | Gather.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | TopK_V2.cpp | 26 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | SVDF.cpp | 27 NN_RET_CHECK(context->getNumInputs() == 7 && context->getNumOutputs() == 2) in validate()
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| /packages/modules/NeuralNetworks/common/types/src/ |
| D | OperationsValidationUtils.cpp | 50 << ") or output operands (" << getNumOutputs() << ", expected " << expOut in invalidInOutNumberMessage()
61 NN_RET_CHECK_EQ(getNumOutputs(), outExpectedInTypes.size()) in validateOperationOperandTypes()
63 << getNumOutputs() << " outputs"; in validateOperationOperandTypes()
69 for (size_t i = 0; i < getNumOutputs(); i++) { in validateOperationOperandTypes()
87 expectedTypes, "output", context->getNumOutputs(), in validateOutputTypes()
103 for (uint32_t i = 0, n = context->getNumOutputs(); i < n; ++i) { in validateVersion()
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| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | UnidirectionalSequenceRNN.cpp | 108 if (context->getNumOutputs() == kNumOutputsWithState) { in executeTyped()
153 if (context->getNumOutputs() == kNumOutputsWithState) { in prepare()
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