| /aosp12/packages/modules/NeuralNetworks/common/operations/ |
| H A D | Elementwise.cpp | 92 NN_RET_CHECK(validateInputTypes(context, {inputType})); in validate()
104 NN_RET_CHECK(validateInputTypes(context, {inputType})); in validateAbs()
117 NN_RET_CHECK(validateInputTypes(context, {inputType})); in validateFloor()
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| H A D | Reduce.cpp | 81 validateInputTypes(context, {inputType, OperandType::TENSOR_INT32, OperandType::BOOL})); in validateProdSum()
100 validateInputTypes(context, {inputType, OperandType::TENSOR_INT32, OperandType::BOOL})); in validateMaxMin()
120 validateInputTypes(context, {inputType, OperandType::TENSOR_INT32, OperandType::BOOL})); in validateLogical()
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| H A D | LogicalNot.cpp | 50 NN_RET_CHECK(validateInputTypes(context, {inputType})); in validate()
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| H A D | Neg.cpp | 57 NN_RET_CHECK(validateInputTypes(context, {inputType})); in validate()
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| H A D | Elu.cpp | 67 NN_RET_CHECK(validateInputTypes(context, {inputType, scalarType})); in validate()
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| H A D | Fill.cpp | 78 NN_RET_CHECK(validateInputTypes(context, {OperandType::TENSOR_INT32, valueType})); in validate()
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| H A D | LogicalAndOr.cpp | 69 NN_RET_CHECK(validateInputTypes(context, {inputType, inputType})); in validate()
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| H A D | Select.cpp | 79 NN_RET_CHECK(validateInputTypes(context, {OperandType::TENSOR_BOOL8, inputType, inputType})); in validate()
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| H A D | Squeeze.cpp | 57 NN_RET_CHECK(validateInputTypes(context, { in validate()
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| H A D | LogSoftmax.cpp | 88 NN_RET_CHECK(validateInputTypes(context, inExpectedTypes)); in validate()
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| H A D | ChannelShuffle.cpp | 73 NN_RET_CHECK(validateInputTypes(context, {inputType, OperandType::INT32, OperandType::INT32})); in validate()
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| H A D | TopK_V2.cpp | 86 NN_RET_CHECK(validateInputTypes(context, {inputType, OperandType::INT32})); in validate()
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| H A D | Gather.cpp | 72 NN_RET_CHECK(validateInputTypes(context, in validate()
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| H A D | InstanceNormalization.cpp | 121 NN_RET_CHECK(validateInputTypes(context, inExpectedTypes)); in validate()
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| H A D | PRelu.cpp | 111 NN_RET_CHECK(validateInputTypes(context, {inputType, inputType})); in validate()
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| H A D | Transpose.cpp | 96 NN_RET_CHECK(validateInputTypes(context, {inputType, OperandType::TENSOR_INT32})); in validate()
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| H A D | LocalResponseNormalization.cpp | 177 NN_RET_CHECK(validateInputTypes(context, inExpectedTypes)); in validate()
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| H A D | Slice.cpp | 103 NN_RET_CHECK(validateInputTypes( in validate()
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| H A D | StridedSlice.cpp | 123 NN_RET_CHECK(validateInputTypes(context, { in validate()
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| H A D | UnidirectionalSequenceRNN.cpp | 140 NN_RET_CHECK(validateInputTypes(context, {inputType, inputType, inputType, inputType, inputType, in validate()
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| H A D | Concatenation.cpp | 176 NN_RET_CHECK(validateInputTypes(context, inExpectedTypes)); in validate()
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| H A D | Activation.cpp | 386 NN_RET_CHECK(validateInputTypes(context, {inputType})); in validate()
403 NN_RET_CHECK(validateInputTypes(context, {inputType})); in validateHardSwish()
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| H A D | Comparisons.cpp | 136 NN_RET_CHECK(validateInputTypes(context, {inputType, inputType})); in validate()
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| H A D | FullyConnected.cpp | 281 NN_RET_CHECK(validateInputTypes(context, inExpectedTypes)); in validate()
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| H A D | L2Normalization.cpp | 231 NN_RET_CHECK(validateInputTypes(context, inExpectedTypes)); in validate()
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