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/frameworks/ml/nn/runtime/test/generated/models/
strided_slice_float_5.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_float_5_relaxed.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_float_6.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_float_6_relaxed.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_float_7.model.cpp	8 auto begins = model->addOperand(&type1); local 17 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 28 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_float_7_relaxed.model.cpp	8 auto begins = model->addOperand(&type1); local 17 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 28 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_float_8.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_float_8_relaxed.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_float_9.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_float_9_relaxed.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_qaunt8_10.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_qaunt8_11.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_quant8_1.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_quant8_2.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_quant8_3.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_quant8_4.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_quant8_5.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_quant8_6.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_quant8_7.model.cpp	8 auto begins = model->addOperand(&type1); local 17 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 1); 28 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_quant8_8.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_quant8_9.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
strided_slice_relaxed.model.cpp	9 auto begins = model->addOperand(&type1); local 18 model->setOperandValue(begins, begins_init, sizeof(int32_t) * 2); 29 model->addOperation(ANEURALNETWORKS_STRIDED_SLICE, {input, begins, ends, strides, beginMask, endMask, shrinkAxisMask}, {output});
/external/mesa3d/src/gallium/state_trackers/clover/util/
functional.hpp	235 struct begins { struct in namespace:clover
/frameworks/ml/nn/common/
CpuExecutor.cpp	1424 const RunTimeOperandInfo& begins = mOperands[ins[1]]; local     [all...]
/frameworks/ml/nn/runtime/test/
TestValidateOperations.cpp	1081 ANeuralNetworksOperandType begins = {.type = ANEURALNETWORKS_TENSOR_INT32, local     [all...]

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