/frameworks/ml/nn/runtime/test/generated/models/ |
D | softmax_v1_2.model.cpp | 5667 auto param3 = model->addOperand(&type2); in CreateModel_axis_dim4_axis0_2() local 5672 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel_axis_dim4_axis0_2() 5675 model->addOperation(ANEURALNETWORKS_SOFTMAX, {op1, param3, axis}, {op2}); in CreateModel_axis_dim4_axis0_2() 5694 auto param3 = model->addOperand(&type2); in CreateModel_axis_dim4_axis0_neg_2() local 5699 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel_axis_dim4_axis0_neg_2() 5702 model->addOperation(ANEURALNETWORKS_SOFTMAX, {op1, param3, axis}, {op2}); in CreateModel_axis_dim4_axis0_neg_2() 5721 auto param3 = model->addOperand(&type2); in CreateModel_axis_dim4_axis1_2() local 5726 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel_axis_dim4_axis1_2() 5729 model->addOperation(ANEURALNETWORKS_SOFTMAX, {op1, param3, axis}, {op2}); in CreateModel_axis_dim4_axis1_2() 5748 auto param3 = model->addOperand(&type2); in CreateModel_axis_dim4_axis1_neg_2() local [all …]
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D | instance_normalization.model.cpp | 419 auto param3 = model->addOperand(&type2); in CreateModel_nhwc_2() local 426 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel_nhwc_2() 433 …model->addOperation(ANEURALNETWORKS_INSTANCE_NORMALIZATION, {in1, param3, param4, param5, layout},… in CreateModel_nhwc_2() 452 auto param3 = model->addOperand(&type2); in CreateModel_nhwc_relaxed_2() local 459 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel_nhwc_relaxed_2() 466 …model->addOperation(ANEURALNETWORKS_INSTANCE_NORMALIZATION, {in1, param3, param4, param5, layout},… in CreateModel_nhwc_relaxed_2() 487 auto param3 = model->addOperand(&type4); in CreateModel_nhwc_float16_2() local 494 model->setOperandValue(param3, param3_init, sizeof(_Float16) * 1); in CreateModel_nhwc_float16_2() 501 …model->addOperation(ANEURALNETWORKS_INSTANCE_NORMALIZATION, {in1, param3, param4, param5, layout},… in CreateModel_nhwc_float16_2() 520 auto param3 = model->addOperand(&type2); in CreateModel_nchw_2() local [all …]
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D | grouped_conv2d.model.cpp | 17 auto param3 = model->addOperand(&type4); in CreateModel_nhwc_none() local 36 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_nhwc_none() 47 …(ANEURALNETWORKS_GROUPED_CONV_2D, {op1, op2, op3, param, param1, param2, param3, param4, param5, p… in CreateModel_nhwc_none() 74 auto param3 = model->addOperand(&type4); in CreateModel_nhwc_none_weight_as_input() local 89 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_nhwc_none_weight_as_input() 100 …(ANEURALNETWORKS_GROUPED_CONV_2D, {op1, op2, op3, param, param1, param2, param3, param4, param5, p… in CreateModel_nhwc_none_weight_as_input() 127 auto param3 = model->addOperand(&type4); in CreateModel_nhwc_none_relaxed() local 146 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_nhwc_none_relaxed() 157 …(ANEURALNETWORKS_GROUPED_CONV_2D, {op1, op2, op3, param, param1, param2, param3, param4, param5, p… in CreateModel_nhwc_none_relaxed() 186 auto param3 = model->addOperand(&type4); in CreateModel_nhwc_none_relaxed_weight_as_input() local [all …]
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D | expand_dims.model.cpp | 741 auto param3 = model->addOperand(&type4); in CreateModel_4() local 745 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_4() 746 model->addOperation(ANEURALNETWORKS_EXPAND_DIMS, {input0, param3}, {output2}); in CreateModel_4() 765 auto param3 = model->addOperand(&type4); in CreateModel_relaxed_4() local 769 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_relaxed_4() 770 model->addOperation(ANEURALNETWORKS_EXPAND_DIMS, {input0, param3}, {output2}); in CreateModel_relaxed_4() 791 auto param3 = model->addOperand(&type4); in CreateModel_quant8_4() local 795 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_quant8_4() 796 model->addOperation(ANEURALNETWORKS_EXPAND_DIMS, {input0, param3}, {output2}); in CreateModel_quant8_4() 815 auto param3 = model->addOperand(&type4); in CreateModel_int32_4() local [all …]
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D | reduce_any.model.cpp | 66 auto param3 = model->addOperand(&type2); in CreateModel_2() local 72 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_2() 73 model->addOperation(ANEURALNETWORKS_REDUCE_ANY, {input01, param2, param3}, {output01}); in CreateModel_2() 94 auto param3 = model->addOperand(&type2); in CreateModel_dynamic_output_shape_2() local 100 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_dynamic_output_shape_2() 101 model->addOperation(ANEURALNETWORKS_REDUCE_ANY, {input01, param2, param3}, {output01}); in CreateModel_dynamic_output_shape_2()
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D | reduce_all.model.cpp | 66 auto param3 = model->addOperand(&type2); in CreateModel_2() local 72 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_2() 73 model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input01, param2, param3}, {output01}); in CreateModel_2() 94 auto param3 = model->addOperand(&type2); in CreateModel_dynamic_output_shape_2() local 100 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_dynamic_output_shape_2() 101 model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input01, param2, param3}, {output01}); in CreateModel_dynamic_output_shape_2()
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D | local_response_normalization_v1_2.model.cpp | 12 auto param3 = model->addOperand(&type2); in CreateModel_axis_dim4_axis0() local 23 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel_axis_dim4_axis0() 26 …n(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {op1, param, param1, param2, param3, axis}, {op2}); in CreateModel_axis_dim4_axis0() 48 auto param3 = model->addOperand(&type5); in CreateModel_axis_dim4_axis0_float16() local 59 model->setOperandValue(param3, param3_init, sizeof(_Float16) * 1); in CreateModel_axis_dim4_axis0_float16() 62 …n(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {op1, param, param1, param2, param3, axis}, {op2}); in CreateModel_axis_dim4_axis0_float16() 84 auto param3 = model->addOperand(&type2); in CreateModel_axis_dim4_axis0_neg() local 95 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel_axis_dim4_axis0_neg() 98 …n(ANEURALNETWORKS_LOCAL_RESPONSE_NORMALIZATION, {op1, param, param1, param2, param3, axis}, {op2}); in CreateModel_axis_dim4_axis0_neg() 120 auto param3 = model->addOperand(&type5); in CreateModel_axis_dim4_axis0_neg_float16() local [all …]
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D | reduce_sum.model.cpp | 182 auto param3 = model->addOperand(&type3); in CreateModel_2() local 188 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_2() 189 model->addOperation(ANEURALNETWORKS_REDUCE_SUM, {input01, param2, param3}, {output01}); in CreateModel_2() 209 auto param3 = model->addOperand(&type3); in CreateModel_relaxed_2() local 215 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_relaxed_2() 216 model->addOperation(ANEURALNETWORKS_REDUCE_SUM, {input01, param2, param3}, {output01}); in CreateModel_relaxed_2() 238 auto param3 = model->addOperand(&type3); in CreateModel_float16_2() local 244 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_float16_2() 245 model->addOperation(ANEURALNETWORKS_REDUCE_SUM, {input01, param2, param3}, {output01}); in CreateModel_float16_2() 266 auto param3 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_2() local [all …]
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D | log_softmax.model.cpp | 179 auto param3 = model->addOperand(&type2); in CreateModel_2() local 185 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_2() 186 model->addOperation(ANEURALNETWORKS_LOG_SOFTMAX, {input01, param2, param3}, {output01}); in CreateModel_2() 206 auto param3 = model->addOperand(&type2); in CreateModel_relaxed_2() local 212 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_relaxed_2() 213 model->addOperation(ANEURALNETWORKS_LOG_SOFTMAX, {input01, param2, param3}, {output01}); in CreateModel_relaxed_2() 235 auto param3 = model->addOperand(&type2); in CreateModel_float16_2() local 241 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_float16_2() 242 model->addOperation(ANEURALNETWORKS_LOG_SOFTMAX, {input01, param2, param3}, {output01}); in CreateModel_float16_2() 263 auto param3 = model->addOperand(&type2); in CreateModel_dynamic_output_shape_2() local [all …]
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D | reduce_prod.model.cpp | 182 auto param3 = model->addOperand(&type3); in CreateModel_2() local 188 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_2() 189 model->addOperation(ANEURALNETWORKS_REDUCE_PROD, {input01, param2, param3}, {output01}); in CreateModel_2() 209 auto param3 = model->addOperand(&type3); in CreateModel_relaxed_2() local 215 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_relaxed_2() 216 model->addOperation(ANEURALNETWORKS_REDUCE_PROD, {input01, param2, param3}, {output01}); in CreateModel_relaxed_2() 238 auto param3 = model->addOperand(&type3); in CreateModel_float16_2() local 244 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_float16_2() 245 model->addOperation(ANEURALNETWORKS_REDUCE_PROD, {input01, param2, param3}, {output01}); in CreateModel_float16_2() 266 auto param3 = model->addOperand(&type3); in CreateModel_dynamic_output_shape_2() local [all …]
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D | reduce_min.model.cpp | 238 auto param3 = model->addOperand(&type3); in CreateModel_2() local 244 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_2() 245 model->addOperation(ANEURALNETWORKS_REDUCE_MIN, {input01, param2, param3}, {output01}); in CreateModel_2() 265 auto param3 = model->addOperand(&type3); in CreateModel_relaxed_2() local 271 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_relaxed_2() 272 model->addOperation(ANEURALNETWORKS_REDUCE_MIN, {input01, param2, param3}, {output01}); in CreateModel_relaxed_2() 294 auto param3 = model->addOperand(&type3); in CreateModel_float16_2() local 300 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_float16_2() 301 model->addOperation(ANEURALNETWORKS_REDUCE_MIN, {input01, param2, param3}, {output01}); in CreateModel_float16_2() 321 auto param3 = model->addOperand(&type3); in CreateModel_quant8_2() local [all …]
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D | tanh_v1_2.model.cpp | 100 auto param3 = model->addOperand(&type10); in CreateModel_zero_sized() local 130 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized() 151 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized() 184 auto param3 = model->addOperand(&type10); in CreateModel_zero_sized_relaxed() local 214 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_relaxed() 235 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_relaxed() 271 auto param3 = model->addOperand(&type10); in CreateModel_zero_sized_quant8() local 301 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_quant8() 322 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_quant8() 355 auto param3 = model->addOperand(&type10); in CreateModel_zero_sized_float16() local [all …]
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D | reduce_max.model.cpp | 238 auto param3 = model->addOperand(&type3); in CreateModel_2() local 244 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_2() 245 model->addOperation(ANEURALNETWORKS_REDUCE_MAX, {input01, param2, param3}, {output01}); in CreateModel_2() 265 auto param3 = model->addOperand(&type3); in CreateModel_relaxed_2() local 271 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_relaxed_2() 272 model->addOperation(ANEURALNETWORKS_REDUCE_MAX, {input01, param2, param3}, {output01}); in CreateModel_relaxed_2() 294 auto param3 = model->addOperand(&type3); in CreateModel_float16_2() local 300 model->setOperandValue(param3, param3_init, sizeof(bool8) * 1); in CreateModel_float16_2() 301 model->addOperation(ANEURALNETWORKS_REDUCE_MAX, {input01, param2, param3}, {output01}); in CreateModel_float16_2() 321 auto param3 = model->addOperand(&type3); in CreateModel_quant8_2() local [all …]
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D | relu1_v1_2.model.cpp | 99 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized() local 129 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized() 150 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized() 183 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_relaxed() local 213 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_relaxed() 234 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_relaxed() 269 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_quant8() local 299 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_quant8() 320 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_quant8() 353 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_float16() local [all …]
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D | relu_v1_2.model.cpp | 99 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized() local 129 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized() 150 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized() 183 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_relaxed() local 213 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_relaxed() 234 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_relaxed() 269 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_quant8() local 299 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_quant8() 320 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_quant8() 353 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_float16() local [all …]
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D | logistic_v1_2.model.cpp | 99 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized() local 129 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized() 150 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized() 183 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_relaxed() local 213 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_relaxed() 234 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_relaxed() 270 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_quant8() local 300 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_quant8() 321 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_quant8() 354 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_float16() local [all …]
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D | relu6_v1_2.model.cpp | 99 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized() local 129 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized() 150 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized() 183 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_relaxed() local 213 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_relaxed() 234 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_relaxed() 269 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_quant8() local 299 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_quant8() 320 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_quant8() 353 auto param3 = model->addOperand(&type9); in CreateModel_zero_sized_float16() local [all …]
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D | box_with_nms_limit_gaussian.model.cpp | 19 auto param3 = model->addOperand(&type6); in CreateModel() local 34 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel() 39 …RKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, param2, param3, param4, param5}, … in CreateModel() 68 auto param3 = model->addOperand(&type6); in CreateModel_relaxed() local 83 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel_relaxed() 88 …RKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, param2, param3, param4, param5}, … in CreateModel_relaxed() 119 auto param3 = model->addOperand(&type11); in CreateModel_float16() local 134 model->setOperandValue(param3, param3_init, sizeof(_Float16) * 1); in CreateModel_float16() 139 …RKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, param2, param3, param4, param5}, … in CreateModel_float16() 168 auto param3 = model->addOperand(&type6); in CreateModel_quant8() local [all …]
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D | box_with_nms_limit_hard.model.cpp | 19 auto param3 = model->addOperand(&type6); in CreateModel() local 34 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel() 39 …RKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, param2, param3, param4, param5}, … in CreateModel() 68 auto param3 = model->addOperand(&type6); in CreateModel_relaxed() local 83 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel_relaxed() 88 …RKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, param2, param3, param4, param5}, … in CreateModel_relaxed() 119 auto param3 = model->addOperand(&type11); in CreateModel_float16() local 134 model->setOperandValue(param3, param3_init, sizeof(_Float16) * 1); in CreateModel_float16() 139 …RKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, param2, param3, param4, param5}, … in CreateModel_float16() 168 auto param3 = model->addOperand(&type6); in CreateModel_quant8() local [all …]
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D | transpose_v1_2.model.cpp | 156 auto param3 = model->addOperand(&type8); in CreateModel_zero_sized() local 187 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized() 210 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized() 245 auto param3 = model->addOperand(&type8); in CreateModel_zero_sized_relaxed() local 276 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_relaxed() 299 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_relaxed() 336 auto param3 = model->addOperand(&type8); in CreateModel_zero_sized_quant8() local 367 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_quant8() 390 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_quant8() 425 auto param3 = model->addOperand(&type8); in CreateModel_zero_sized_float16() local [all …]
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D | box_with_nms_limit_linear.model.cpp | 19 auto param3 = model->addOperand(&type6); in CreateModel() local 34 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel() 39 …RKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, param2, param3, param4, param5}, … in CreateModel() 68 auto param3 = model->addOperand(&type6); in CreateModel_relaxed() local 83 model->setOperandValue(param3, param3_init, sizeof(float) * 1); in CreateModel_relaxed() 88 …RKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, param2, param3, param4, param5}, … in CreateModel_relaxed() 119 auto param3 = model->addOperand(&type11); in CreateModel_float16() local 134 model->setOperandValue(param3, param3_init, sizeof(_Float16) * 1); in CreateModel_float16() 139 …RKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, param2, param3, param4, param5}, … in CreateModel_float16() 168 auto param3 = model->addOperand(&type6); in CreateModel_quant8() local [all …]
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D | fully_connected_v1_2.model.cpp | 281 auto param3 = model->addOperand(&type3); in CreateModel_zero_sized_nhwc() local 314 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_nhwc() 341 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_nhwc() 377 auto param3 = model->addOperand(&type3); in CreateModel_zero_sized_nhwc_relaxed() local 410 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_nhwc_relaxed() 437 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_nhwc_relaxed() 475 auto param3 = model->addOperand(&type3); in CreateModel_zero_sized_nhwc_quant8() local 508 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_nhwc_quant8() 535 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_nhwc_quant8() 571 auto param3 = model->addOperand(&type3); in CreateModel_zero_sized_nhwc_float16() local [all …]
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D | generate_proposals.model.cpp | 22 auto param3 = model->addOperand(&type9); in CreateModel_nhwc() local 37 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_nhwc() 44 …OPOSALS, {scores, bboxDeltas, anchors, imageInfo, param, param1, param2, param3, param4, param5, l… in CreateModel_nhwc() 76 auto param3 = model->addOperand(&type9); in CreateModel_nhwc_relaxed() local 91 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_nhwc_relaxed() 98 …OPOSALS, {scores, bboxDeltas, anchors, imageInfo, param, param1, param2, param3, param4, param5, l… in CreateModel_nhwc_relaxed() 132 auto param3 = model->addOperand(&type9); in CreateModel_nhwc_quant8() local 147 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_nhwc_quant8() 154 …OPOSALS, {scores, bboxDeltas, anchors, imageInfo, param, param1, param2, param3, param4, param5, l… in CreateModel_nhwc_quant8() 186 auto param3 = model->addOperand(&type9); in CreateModel_nhwc_float16() local [all …]
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D | space_to_batch_v1_2.model.cpp | 1571 auto param3 = model->addOperand(&type4); in CreateModel_nhwc_4() local 1577 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 2); in CreateModel_nhwc_4() 1582 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op13, param3, paddings2, layout}, {op43}); in CreateModel_nhwc_4() 1603 auto param3 = model->addOperand(&type4); in CreateModel_nhwc_relaxed_4() local 1609 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 2); in CreateModel_nhwc_relaxed_4() 1614 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op13, param3, paddings2, layout}, {op43}); in CreateModel_nhwc_relaxed_4() 1637 auto param3 = model->addOperand(&type4); in CreateModel_nhwc_float16_4() local 1643 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 2); in CreateModel_nhwc_float16_4() 1648 model->addOperation(ANEURALNETWORKS_SPACE_TO_BATCH_ND, {op13, param3, paddings2, layout}, {op43}); in CreateModel_nhwc_float16_4() 1669 auto param3 = model->addOperand(&type4); in CreateModel_nhwc_quant8_4() local [all …]
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D | div_v1_2.model.cpp | 122 auto param3 = model->addOperand(&type1); in CreateModel_zero_sized() local 154 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized() 179 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized() 213 auto param3 = model->addOperand(&type1); in CreateModel_zero_sized_relaxed() local 245 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_relaxed() 270 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_relaxed() 306 auto param3 = model->addOperand(&type1); in CreateModel_zero_sized_float16() local 338 model->setOperandValue(param3, param3_init, sizeof(int32_t) * 1); in CreateModel_zero_sized_float16() 363 …ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param3, param4, param5, p… in CreateModel_zero_sized_float16() 398 auto param3 = model->addOperand(&type1); in CreateModel_zero_sized_dynamic_output_shape() local [all …]
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