| /packages/modules/NeuralNetworks/common/operations/ |
| D | Elementwise.cpp | 32 constexpr uint32_t kNumOutputs = 1; variable
87 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
99 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateAbs()
111 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateFloor()
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| D | Reduce.cpp | 40 constexpr uint32_t kNumOutputs = 1; variable
75 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateProdSum()
92 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateMaxMin()
115 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validateLogical()
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| D | Rank.cpp | 30 constexpr uint32_t kNumOutputs = 1; variable
35 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | LogicalNot.cpp | 29 constexpr uint32_t kNumOutputs = 1; variable
46 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Neg.cpp | 34 constexpr uint32_t kNumOutputs = 1; variable
52 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Elu.cpp | 36 constexpr uint32_t kNumOutputs = 1; variable
57 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Fill.cpp | 30 constexpr uint32_t kNumOutputs = 1; variable
66 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | LogicalAndOr.cpp | 34 constexpr uint32_t kNumOutputs = 1; variable
65 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Quantize.cpp | 34 constexpr uint32_t kNumOutputs = 1; variable
68 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Squeeze.cpp | 35 constexpr uint32_t kNumOutputs = 1; variable
40 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Select.cpp | 32 constexpr uint32_t kNumOutputs = 1; variable
71 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | LogSoftmax.cpp | 38 constexpr uint32_t kNumOutputs = 1; variable
75 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | TopK_V2.cpp | 34 constexpr uint32_t kNumOutputs = 2; variable
78 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | ChannelShuffle.cpp | 34 constexpr uint32_t kNumOutputs = 1; variable
62 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Gather.cpp | 34 constexpr uint32_t kNumOutputs = 1; variable
64 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Dequantize.cpp | 30 constexpr uint32_t kNumOutputs = 1; variable
80 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | InstanceNormalization.cpp | 42 constexpr uint32_t kNumOutputs = 1; variable
109 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | PRelu.cpp | 41 constexpr uint32_t kNumOutputs = 1; variable
104 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Transpose.cpp | 41 constexpr uint32_t kNumOutputs = 1; variable
79 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | Slice.cpp | 39 constexpr uint32_t kNumOutputs = 1; variable
88 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | StridedSlice.cpp | 46 constexpr uint32_t kNumOutputs = 1; variable
106 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | LocalResponseNormalization.cpp | 45 constexpr uint32_t kNumOutputs = 1; variable
142 NN_RET_CHECK_EQ(context->getNumOutputs(), kNumOutputs); in validate()
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| D | UnidirectionalSequenceRNN.cpp | 40 constexpr uint32_t kNumOutputs = 1; variable
134 NN_RET_CHECK(numOutputs == kNumOutputs || numOutputs == kNumOutputsWithState); in validate()
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| D | BidirectionalSequenceRNN.cpp | 51 constexpr uint32_t kNumOutputs = 2; variable
323 NN_RET_CHECK(numOutputs == kNumOutputs || numOutputs == kNumOutputsMerged || in validate()
353 NN_RET_CHECK(numOutputs == kNumOutputs || numOutputs == kNumOutputsWithState); in prepare()
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| /packages/modules/NeuralNetworks/runtime/test/fibonacci_extension/ |
| D | FibonacciDriver.cpp | 47 constexpr uint32_t kNumOutputs = 1; variable
68 NN_RET_CHECK_EQ(operation.outputs.size(), kNumOutputs); in validate()
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