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Searched refs:param1 (Results 1 – 25 of 62) sorted by relevance

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/frameworks/ml/nn/runtime/test/generated/models/
Dbatch_to_space_v1_2.model.cpp466 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_2() local
471 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2); in CreateModel_nhwc_2()
474 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {op11, param1, layout}, {op41}); in CreateModel_nhwc_2()
494 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_relaxed_2() local
499 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2); in CreateModel_nhwc_relaxed_2()
502 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {op11, param1, layout}, {op41}); in CreateModel_nhwc_relaxed_2()
524 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_float16_2() local
529 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 2); in CreateModel_nhwc_float16_2()
532 model->addOperation(ANEURALNETWORKS_BATCH_TO_SPACE_ND, {op11, param1, layout}, {op41}); in CreateModel_nhwc_float16_2()
552 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_quant8_2() local
[all …]
Dinstance_normalization.model.cpp10 auto param1 = model->addOperand(&type2); in CreateModel_nhwc() local
18 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_nhwc()
23 …model->addOperation(ANEURALNETWORKS_INSTANCE_NORMALIZATION, {in, param, param1, param2, layout}, {… in CreateModel_nhwc()
43 auto param1 = model->addOperand(&type2); in CreateModel_nhwc_relaxed() local
51 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_nhwc_relaxed()
56 …model->addOperation(ANEURALNETWORKS_INSTANCE_NORMALIZATION, {in, param, param1, param2, layout}, {… in CreateModel_nhwc_relaxed()
78 auto param1 = model->addOperand(&type4); in CreateModel_nhwc_float16() local
86 model->setOperandValue(param1, param1_init, sizeof(_Float16) * 1); in CreateModel_nhwc_float16()
91 …model->addOperation(ANEURALNETWORKS_INSTANCE_NORMALIZATION, {in, param, param1, param2, layout}, {… in CreateModel_nhwc_float16()
111 auto param1 = model->addOperand(&type2); in CreateModel_nchw() local
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Dtranspose_conv2d_large.model.cpp17 auto param1 = model->addOperand(&type5); in CreateModel_quant8() local
32 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_quant8()
39 …model->addOperation(ANEURALNETWORKS_TRANSPOSE_CONV_2D, {op1, op2, op3, shape, param, param1, param… in CreateModel_quant8()
66 auto param1 = model->addOperand(&type5); in CreateModel_channelQuant8() local
81 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_channelQuant8()
88 …model->addOperation(ANEURALNETWORKS_TRANSPOSE_CONV_2D, {op1, op2, op3, shape, param, param1, param… in CreateModel_channelQuant8()
115 auto param1 = model->addOperand(&type5); in CreateModel_dynamic_output_shape_quant8() local
130 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape_quant8()
137 …model->addOperation(ANEURALNETWORKS_TRANSPOSE_CONV_2D, {op1, op2, op3, shape, param, param1, param… in CreateModel_dynamic_output_shape_quant8()
164 auto param1 = model->addOperand(&type5); in CreateModel_dynamic_output_shape_channelQuant8() local
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Ddepth_to_space_v1_2.model.cpp466 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_2() local
471 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_nhwc_2()
474 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {op11, param1, layout}, {op41}); in CreateModel_nhwc_2()
494 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_relaxed_2() local
499 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_nhwc_relaxed_2()
502 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {op11, param1, layout}, {op41}); in CreateModel_nhwc_relaxed_2()
524 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_float16_2() local
529 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_nhwc_float16_2()
532 model->addOperation(ANEURALNETWORKS_DEPTH_TO_SPACE, {op11, param1, layout}, {op41}); in CreateModel_nhwc_float16_2()
552 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_quant8_2() local
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Dspace_to_depth_v1_2.model.cpp466 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_2() local
471 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_nhwc_2()
474 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41}); in CreateModel_nhwc_2()
494 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_relaxed_2() local
499 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_nhwc_relaxed_2()
502 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41}); in CreateModel_nhwc_relaxed_2()
524 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_float16_2() local
529 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_nhwc_float16_2()
532 model->addOperation(ANEURALNETWORKS_SPACE_TO_DEPTH, {op11, param1, layout}, {op41}); in CreateModel_nhwc_float16_2()
552 auto param1 = model->addOperand(&type3); in CreateModel_nhwc_quant8_2() local
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Dgrouped_conv2d.model.cpp15 auto param1 = model->addOperand(&type4); in CreateModel_nhwc_none() local
32 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_nhwc_none()
47 …model->addOperation(ANEURALNETWORKS_GROUPED_CONV_2D, {op1, op2, op3, param, param1, param2, param3… in CreateModel_nhwc_none()
72 auto param1 = model->addOperand(&type4); in CreateModel_nhwc_none_weight_as_input() local
85 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_nhwc_none_weight_as_input()
100 …model->addOperation(ANEURALNETWORKS_GROUPED_CONV_2D, {op1, op2, op3, param, param1, param2, param3… in CreateModel_nhwc_none_weight_as_input()
125 auto param1 = model->addOperand(&type4); in CreateModel_nhwc_none_relaxed() local
142 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_nhwc_none_relaxed()
157 …model->addOperation(ANEURALNETWORKS_GROUPED_CONV_2D, {op1, op2, op3, param, param1, param2, param3… in CreateModel_nhwc_none_relaxed()
184 auto param1 = model->addOperand(&type4); in CreateModel_nhwc_none_relaxed_weight_as_input() local
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Dexpand_dims.model.cpp253 auto param1 = model->addOperand(&type4); in CreateModel_2() local
257 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_2()
258 model->addOperation(ANEURALNETWORKS_EXPAND_DIMS, {input0, param1}, {output1}); in CreateModel_2()
277 auto param1 = model->addOperand(&type4); in CreateModel_relaxed_2() local
281 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_relaxed_2()
282 model->addOperation(ANEURALNETWORKS_EXPAND_DIMS, {input0, param1}, {output1}); in CreateModel_relaxed_2()
303 auto param1 = model->addOperand(&type4); in CreateModel_quant8_2() local
307 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_quant8_2()
308 model->addOperation(ANEURALNETWORKS_EXPAND_DIMS, {input0, param1}, {output1}); in CreateModel_quant8_2()
327 auto param1 = model->addOperand(&type4); in CreateModel_int32_2() local
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Dreduce_any.model.cpp10 auto param1 = model->addOperand(&type2); in CreateModel() local
16 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel()
17 model->addOperation(ANEURALNETWORKS_REDUCE_ANY, {input0, param, param1}, {output0}); in CreateModel()
38 auto param1 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
44 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel_dynamic_output_shape()
45 model->addOperation(ANEURALNETWORKS_REDUCE_ANY, {input0, param, param1}, {output0}); in CreateModel_dynamic_output_shape()
Dreduce_all.model.cpp10 auto param1 = model->addOperand(&type2); in CreateModel() local
16 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel()
17 model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input0, param, param1}, {output0}); in CreateModel()
38 auto param1 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
44 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel_dynamic_output_shape()
45 model->addOperation(ANEURALNETWORKS_REDUCE_ALL, {input0, param, param1}, {output0}); in CreateModel_dynamic_output_shape()
Dreduce_sum.model.cpp11 auto param1 = model->addOperand(&type3); in CreateModel() local
17 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_REDUCE_SUM, {input0, param, param1}, {output0}); in CreateModel()
39 auto param1 = model->addOperand(&type3); in CreateModel_relaxed() local
45 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel_relaxed()
46 model->addOperation(ANEURALNETWORKS_REDUCE_SUM, {input0, param, param1}, {output0}); in CreateModel_relaxed()
69 auto param1 = model->addOperand(&type3); in CreateModel_float16() local
75 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel_float16()
76 model->addOperation(ANEURALNETWORKS_REDUCE_SUM, {input0, param, param1}, {output0}); in CreateModel_float16()
97 auto param1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
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Dreduce_prod.model.cpp11 auto param1 = model->addOperand(&type3); in CreateModel() local
17 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_REDUCE_PROD, {input0, param, param1}, {output0}); in CreateModel()
39 auto param1 = model->addOperand(&type3); in CreateModel_relaxed() local
45 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel_relaxed()
46 model->addOperation(ANEURALNETWORKS_REDUCE_PROD, {input0, param, param1}, {output0}); in CreateModel_relaxed()
69 auto param1 = model->addOperand(&type3); in CreateModel_float16() local
75 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel_float16()
76 model->addOperation(ANEURALNETWORKS_REDUCE_PROD, {input0, param, param1}, {output0}); in CreateModel_float16()
97 auto param1 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
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Dlog_softmax.model.cpp10 auto param1 = model->addOperand(&type2); in CreateModel() local
16 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel()
17 model->addOperation(ANEURALNETWORKS_LOG_SOFTMAX, {input0, param, param1}, {output0}); in CreateModel()
37 auto param1 = model->addOperand(&type2); in CreateModel_relaxed() local
43 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_relaxed()
44 model->addOperation(ANEURALNETWORKS_LOG_SOFTMAX, {input0, param, param1}, {output0}); in CreateModel_relaxed()
66 auto param1 = model->addOperand(&type2); in CreateModel_float16() local
72 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_float16()
73 model->addOperation(ANEURALNETWORKS_LOG_SOFTMAX, {input0, param, param1}, {output0}); in CreateModel_float16()
94 auto param1 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
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Dlogistic_v1_2.model.cpp97 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized() local
125 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized()
150 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized()
181 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized_relaxed() local
209 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized_relaxed()
234 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized_relaxed()
268 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized_quant8() local
296 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized_quant8()
321 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized_quant8()
352 auto param1 = model->addOperand(&type23); in CreateModel_zero_sized_float16() local
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Dreduce_min.model.cpp11 auto param1 = model->addOperand(&type3); in CreateModel() local
17 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_REDUCE_MIN, {input0, param, param1}, {output0}); in CreateModel()
39 auto param1 = model->addOperand(&type3); in CreateModel_relaxed() local
45 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel_relaxed()
46 model->addOperation(ANEURALNETWORKS_REDUCE_MIN, {input0, param, param1}, {output0}); in CreateModel_relaxed()
69 auto param1 = model->addOperand(&type3); in CreateModel_float16() local
75 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel_float16()
76 model->addOperation(ANEURALNETWORKS_REDUCE_MIN, {input0, param, param1}, {output0}); in CreateModel_float16()
97 auto param1 = model->addOperand(&type3); in CreateModel_quant8() local
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Drelu_v1_2.model.cpp97 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized() local
125 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized()
150 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized()
181 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized_relaxed() local
209 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized_relaxed()
234 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized_relaxed()
267 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized_quant8() local
295 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized_quant8()
320 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized_quant8()
351 auto param1 = model->addOperand(&type22); in CreateModel_zero_sized_float16() local
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Dtanh_v1_2.model.cpp98 auto param1 = model->addOperand(&type9); in CreateModel_zero_sized() local
126 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized()
151 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized()
182 auto param1 = model->addOperand(&type9); in CreateModel_zero_sized_relaxed() local
210 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized_relaxed()
235 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized_relaxed()
269 auto param1 = model->addOperand(&type9); in CreateModel_zero_sized_quant8() local
297 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized_quant8()
322 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized_quant8()
353 auto param1 = model->addOperand(&type25); in CreateModel_zero_sized_float16() local
[all …]
Dreduce_max.model.cpp11 auto param1 = model->addOperand(&type3); in CreateModel() local
17 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_REDUCE_MAX, {input0, param, param1}, {output0}); in CreateModel()
39 auto param1 = model->addOperand(&type3); in CreateModel_relaxed() local
45 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel_relaxed()
46 model->addOperation(ANEURALNETWORKS_REDUCE_MAX, {input0, param, param1}, {output0}); in CreateModel_relaxed()
69 auto param1 = model->addOperand(&type3); in CreateModel_float16() local
75 model->setOperandValue(param1, param1_init, sizeof(bool8) * 1); in CreateModel_float16()
76 model->addOperation(ANEURALNETWORKS_REDUCE_MAX, {input0, param, param1}, {output0}); in CreateModel_float16()
97 auto param1 = model->addOperand(&type3); in CreateModel_quant8() local
[all …]
Drelu6_v1_2.model.cpp97 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized() local
125 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized()
150 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized()
181 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized_relaxed() local
209 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized_relaxed()
234 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized_relaxed()
267 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized_quant8() local
295 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized_quant8()
320 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized_quant8()
351 auto param1 = model->addOperand(&type22); in CreateModel_zero_sized_float16() local
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Drelu1_v1_2.model.cpp97 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized() local
125 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized()
150 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized()
181 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized_relaxed() local
209 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized_relaxed()
234 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized_relaxed()
267 auto param1 = model->addOperand(&type8); in CreateModel_zero_sized_quant8() local
295 model->setOperandValue(param1, param1_init, sizeof(float) * 1); in CreateModel_zero_sized_quant8()
320 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, param, param1, param2, param… in CreateModel_zero_sized_quant8()
351 auto param1 = model->addOperand(&type22); in CreateModel_zero_sized_float16() local
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Dbox_with_nms_limit_gaussian.model.cpp17 auto param1 = model->addOperand(&type7); in CreateModel() local
30 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel()
39 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, p… in CreateModel()
66 auto param1 = model->addOperand(&type7); in CreateModel_relaxed() local
79 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_relaxed()
88 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, p… in CreateModel_relaxed()
117 auto param1 = model->addOperand(&type7); in CreateModel_float16() local
130 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_float16()
139 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, p… in CreateModel_float16()
166 auto param1 = model->addOperand(&type7); in CreateModel_quant8() local
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Dbox_with_nms_limit_hard.model.cpp17 auto param1 = model->addOperand(&type7); in CreateModel() local
30 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel()
39 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, p… in CreateModel()
66 auto param1 = model->addOperand(&type7); in CreateModel_relaxed() local
79 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_relaxed()
88 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, p… in CreateModel_relaxed()
117 auto param1 = model->addOperand(&type7); in CreateModel_float16() local
130 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1); in CreateModel_float16()
139 …model->addOperation(ANEURALNETWORKS_BOX_WITH_NMS_LIMIT, {scores, roi, batchSplit, param, param1, p… in CreateModel_float16()
166 auto param1 = model->addOperand(&type7); in CreateModel_quant8() local
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/frameworks/wilhelm/src/
DThreadPool.h90 void *cntxt1, void *cntxt2, void *cntxt3, int param1, int param2);
93 void *cntxt1, void *cntxt2, int param1);
95 void *cntxt1, void *cntxt2, int param1, int param2);
97 void *cntxt1, int param1, int param2, void *cntxt2, void *cntxt3);
/frameworks/ml/nn/tools/test_generator/tests/P_variation/
Dstdout.txt.expect26 auto param1 = model->addOperand(&type3);
39 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
99 auto param1 = model->addOperand(&type3);
112 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
178 auto param1 = model->addOperand(&type3);
191 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
255 auto param1 = model->addOperand(&type3);
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/frameworks/ml/nn/tools/test_generator/tests/P_naming/
Dstdout.txt.expect26 auto param1 = model->addOperand(&type3);
39 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
99 auto param1 = model->addOperand(&type3);
112 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
178 auto param1 = model->addOperand(&type3);
191 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
255 auto param1 = model->addOperand(&type3);
[all …]
/frameworks/ml/nn/tools/test_generator/tests/P_implicit_variation/
Dstdout.txt.expect26 auto param1 = model->addOperand(&type3);
39 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
46 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
99 auto param1 = model->addOperand(&type3);
112 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
119 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
178 auto param1 = model->addOperand(&type3);
191 model->setOperandValue(param1, param1_init, sizeof(int32_t) * 1);
198 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, param, param1, param2, act, layout}, …
255 auto param1 = model->addOperand(&type3);
[all …]

123