| /packages/modules/NeuralNetworks/runtime/test/specs/V1_3/ |
| D | concat_quant8_signed.mod.py | 21 input2 = Input("input2", "TENSOR_FLOAT32", "{2, 1, 2}") variable
85 input2 = Input("input2", "TENSOR_QUANT8_ASYMM_SIGNED", "{%d, %d}, 0.5f, -128" % (row2, col)) variable
112 input2 = Input("input2", "TENSOR_QUANT8_ASYMM_SIGNED", "{%d, %d}, 0.5f, -128" % (row, col2)) variable
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| D | select_quant8_signed.mod.py | 16 def test(name, input0, input1, input2, output0, input0_data, input1_data, input2_data, output_data): argument
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_2/ |
| D | concat_mixed_quant.mod.py | 21 input2 = Input("input2", "TENSOR_FLOAT32", "{2, 1, 2}") variable
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| D | select_v1_2.mod.py | 16 def test(name, input0, input1, input2, output0, input0_data, input1_data, input2_data, output_data): argument
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| D | concat_float16_2.mod.py | 26 input2 = Input("input2", "TENSOR_FLOAT16", "{%d, %d}" % (row2, col)) # input tensor 2 variable
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| D | concat_float16_3.mod.py | 26 input2 = Input("input2", "TENSOR_FLOAT16", "{%d, %d}" % (row, col2)) # input tensor 2 variable
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_0/ |
| D | concat_quant8_2.mod.py | 26 input2 = Input("input2", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row2, col)) variable
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| D | concat_float_2.mod.py | 26 input2 = Input("input2", "TENSOR_FLOAT32", "{%d, %d}" % (row2, col)) # input tensor 2 variable
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| D | concat_float_3.mod.py | 26 input2 = Input("input2", "TENSOR_FLOAT32", "{%d, %d}" % (row, col2)) # input tensor 2 variable
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| D | concat_quant8_3.mod.py | 26 input2 = Input("input2", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row, col2)) variable
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| /packages/modules/NeuralNetworks/runtime/test/specs/V1_1/ |
| D | concat_float_3_relaxed.mod.py | 26 input2 = Input("input2", "TENSOR_FLOAT32", "{%d, %d}" % (row, col2)) # input tensor 2 variable
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| D | concat_float_2_relaxed.mod.py | 26 input2 = Input("input2", "TENSOR_FLOAT32", "{%d, %d}" % (row2, col)) # input tensor 2 variable
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| /packages/modules/NeuralNetworks/common/types/operations/src/ |
| D | Broadcast.cpp | 34 const Shape& input2 = context->getInputShape(kInputTensor2); in validate() local
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| /packages/modules/NeuralNetworks/common/cpu_operations/ |
| D | Select.cpp | 76 Shape input2 = context->getInputShape(kInputTensor2); in prepare() local
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| D | LogicalAndOr.cpp | 59 Shape input2 = context->getInputShape(kInputTensor2); in prepare() local
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| D | Comparisons.cpp | 122 Shape input2 = context->getInputShape(kInputTensor2); in prepare() local
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| D | Broadcast.cpp | 442 Shape input2 = context->getInputShape(kInputTensor2); in prepare() local
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| /packages/modules/NeuralNetworks/runtime/test/fibonacci_extension/ |
| D | FibonacciExtensionTest.cpp | 290 uint32_t input2 = mModel.addOperand(&inputType); // Extra input. in TEST_F() local
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| /packages/modules/NeuralNetworks/runtime/test/ |
| D | TestMemoryDomain.cpp | 166 uint32_t input2 = model->addOperand(&tensorTypeFullySpecified); in createTestModel() local
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| D | TestIntrospectionControl.cpp | 251 float input2[2] = {3.0f, 4.0f}; in TEST_F() local
879 float input2[2] = {3.0f, 4.0f}; in TEST_P() local
1491 float input2[2] = {3.0f, 4.0f}; in TEST_F() local
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| D | TestValidation.cpp | 2341 int32_t input2[] = {0}; in TEST_F() local
2367 int32_t input2[] = {0}; in TEST_F() local
2424 int32_t input2[] = {0}; in TEST_F() local
2682 int32_t input2[] = {0}; in TEST_F() local
2730 int32_t input2[] = {0}; in TEST_F() local
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| D | TestValidateOperations.cpp | 1129 ANeuralNetworksOperandType input2 = { in gatherTest() local
1304 ANeuralNetworksOperandType input2 = input1; in simpleMathOpTest() local
1394 ANeuralNetworksOperandType input2 = input1; in TEST() local
1413 ANeuralNetworksOperandType input2 = input1; in binaryOpTest() local
2463 ANeuralNetworksOperandType input2 = input1; in concatenationTest() local
3724 ANeuralNetworksOperandType input2 = input1; in logicalTest() local
3742 ANeuralNetworksOperandType input2 = input1; in comparisonTest() local
3810 ANeuralNetworksOperandType input2 = getOpType(ANEURALNETWORKS_TENSOR_INT32, 1, axesDimensions); in reduceOpTest() local
3854 ANeuralNetworksOperandType input2 = input1; in selectTest() local
4508 ANeuralNetworksOperandType input2 = getOpType(ANEURALNETWORKS_BOOL); in batchMatmulTest() local
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| D | TestPartitioning.cpp | 268 const V1_3::Operand& input2 = getOperand(operation.inputs[2]); in lookupOperation() local
874 uint32_t input2 = addIntOperand(fuseCode); in addOperation2To1() local
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