| /packages/modules/NeuralNetworks/common/types/operations/src/ |
| D | ResizeImageOps.cpp | 30 NN_RET_CHECK(numInputs >= kNumInputs - 1 && numInputs <= kNumInputs + kNumOptionalInputs); in validate()
32 NN_RET_CHECK(numInputs >= kNumInputs && numInputs <= kNumInputs + kNumOptionalInputs); in validate()
63 if (numInputs < kNumInputs) { in validate()
65 } else if (numInputs == kNumInputs) { in validate()
|
| D | Elementwise.cpp | 25 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validate()
37 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validateAbs()
49 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validateFloor()
68 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validateRsqrt()
|
| D | L2Normalization.cpp | 27 NN_RET_CHECK(context->getNumInputs() == kNumInputs || in validate()
28 context->getNumInputs() == kNumInputs - 1); in validate()
43 if (context->getNumInputs() == kNumInputs) { in validate()
|
| D | Softmax.cpp | 28 NN_RET_CHECK(context->getNumInputs() == kNumInputs || in validate()
29 context->getNumInputs() == kNumInputs - 1); in validate()
50 if (context->getNumInputs() == kNumInputs) { in validate()
|
| D | LocalResponseNormalization.cpp | 27 NN_RET_CHECK(context->getNumInputs() == kNumInputs || in validate()
28 context->getNumInputs() == kNumInputs - 1); in validate()
53 if (context->getNumInputs() == kNumInputs) { in validate()
|
| D | Reduce.cpp | 25 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validateProdSum()
42 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validateMaxMin()
65 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validateLogical()
|
| D | GenerateProposals.cpp | 29 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validate()
57 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validate()
106 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validate()
171 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validate()
|
| D | Activation.cpp | 25 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validate()
54 NN_RET_CHECK_EQ(context->getNumInputs(), kNumInputs); in validateHardSwish()
|
| /packages/modules/NeuralNetworks/common/types/operations/include/ |
| D | GenerateProposals.h | 28 constexpr uint32_t kNumInputs = 4; variable
43 constexpr uint32_t kNumInputs = 9; variable
66 constexpr uint32_t kNumInputs = 11; variable
90 constexpr uint32_t kNumInputs = 14; variable
|
| D | LogicalNot.h | 24 constexpr uint32_t kNumInputs = 1; variable
|
| D | Elementwise.h | 24 constexpr uint32_t kNumInputs = 1; variable
|
| D | Dequantize.h | 24 constexpr uint32_t kNumInputs = 1; variable
|
| D | Rank.h | 24 constexpr uint32_t kNumInputs = 1; variable
|
| D | Activation.h | 24 constexpr uint32_t kNumInputs = 1; variable
|
| D | Quantize.h | 24 constexpr uint32_t kNumInputs = 1; variable
|
| D | Neg.h | 26 constexpr uint32_t kNumInputs = 1; variable
|
| D | LogicalAndOr.h | 24 constexpr uint32_t kNumInputs = 2; variable
|
| D | Elu.h | 24 constexpr uint32_t kNumInputs = 2; variable
|
| D | Squeeze.h | 24 constexpr uint32_t kNumInputs = 2; variable
|
| D | Comparisons.h | 24 constexpr uint32_t kNumInputs = 2; variable
|
| D | Fill.h | 24 constexpr uint32_t kNumInputs = 2; variable
|
| D | PRelu.h | 26 constexpr uint32_t kNumInputs = 2; variable
|
| D | L2Normalization.h | 26 constexpr uint32_t kNumInputs = 2; variable
|
| D | Reverse.h | 27 constexpr uint32_t kNumInputs = 2; variable
|
| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | LocalResponseNormalization.cpp | 119 int32_t axis = context->getNumInputs() == kNumInputs in executeTyped()
135 int32_t axis = context->getNumInputs() == kNumInputs in prepare()
|