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Searched refs:getScalar (Results 1 – 4 of 4) sorted by relevance

/hardware/qcom/neuralnetworks/hvxservice/1.0/
DHexagonOperationsPrepare.cpp68 const int32_t padding_left = model->getScalar<int32_t>(ins[1]); in average_pool_2d()
69 const int32_t padding_right = model->getScalar<int32_t>(ins[2]); in average_pool_2d()
70 const int32_t padding_top = model->getScalar<int32_t>(ins[3]); in average_pool_2d()
71 const int32_t padding_bottom = model->getScalar<int32_t>(ins[4]); in average_pool_2d()
72 stride_width = model->getScalar<int32_t>(ins[5]); in average_pool_2d()
73 stride_height = model->getScalar<int32_t>(ins[6]); in average_pool_2d()
74 filter_width = model->getScalar<int32_t>(ins[7]); in average_pool_2d()
75 filter_height = model->getScalar<int32_t>(ins[8]); in average_pool_2d()
85 stride_width = model->getScalar<int32_t>(ins[2]); in average_pool_2d()
86 stride_height = model->getScalar<int32_t>(ins[3]); in average_pool_2d()
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DHexagonOperationsCheck.cpp77 padding_left = model->getScalar<int32_t>(ins[1]); in pool()
78 padding_right = model->getScalar<int32_t>(ins[2]); in pool()
79 padding_top = model->getScalar<int32_t>(ins[3]); in pool()
80 padding_bottom = model->getScalar<int32_t>(ins[4]); in pool()
81 stride_width = model->getScalar<int32_t>(ins[5]); in pool()
82 stride_height = model->getScalar<int32_t>(ins[6]); in pool()
83 filter_width = model->getScalar<int32_t>(ins[7]); in pool()
84 filter_height = model->getScalar<int32_t>(ins[8]); in pool()
91 const int32_t padding_implicit = model->getScalar<int32_t>(ins[1]); in pool()
92 stride_width = model->getScalar<int32_t>(ins[2]); in pool()
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DHexagonModel.h98 Type getScalar(uint32_t operand);
171 Type Model::getScalar(uint32_t operand) { in getScalar() function
DHexagonModel.cpp190 const int32_t padding = getScalar<int32_t>(operand); in getPadding()
254 return getFloatActivationFunction(getScalar<FusedActivationFunc>(operand)); in getFloatActivation()
258 return getQuantizedActivationFunction(getScalar<FusedActivationFunc>(operand)); in getQuantizedActivation()