| /frameworks/ml/nn/runtime/test/generated/models/ |
| conv_float_2_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad_same = model->addOperand(&type3);
12 auto act_relu = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type0);
17 model->setOperandValue(op2, op2_init, sizeof(float) * 9)
[all...] |
| conv_float_channels_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type0);
17 model->setOperandValue(op2, op2_init, sizeof(float) * 9)
[all...] |
| conv_float_large_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type0);
17 model->setOperandValue(op2, op2_init, sizeof(float) * 9)
[all...] |
| conv_float_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type1);
17 model->setOperandValue(op2, op2_init, sizeof(float) * 4)
[all...] |
| depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.model.cpp | 2 void CreateModel(Model *model) {
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto op3 = model->addOperand(&type2);
12 auto pad0 = model->addOperand(&type3);
13 auto act = model->addOperand(&type3);
14 auto stride = model->addOperand(&type3);
15 auto channelMultiplier = model->addOperand(&type3);
16 auto op4 = model->addOperand(&type4)
[all...] |
| depthwise_conv2d_float_large_weights_as_inputs_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type0);
10 auto op3 = model->addOperand(&type1);
11 auto pad0 = model->addOperand(&type2);
12 auto act = model->addOperand(&type2);
13 auto stride = model->addOperand(&type2);
14 auto channelMultiplier = model->addOperand(&type2);
15 auto op4 = model->addOperand(&type3)
[all...] |
| depthwise_conv2d_float_weights_as_inputs_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto channelMultiplier = model->addOperand(&type3);
15 auto op4 = model->addOperand(&type1)
[all...] |
| conv_float.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type1);
17 model->setOperandValue(op2, op2_init, sizeof(float) * 4)
[all...] |
| conv_float_2.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad_same = model->addOperand(&type3);
12 auto act_relu = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type0);
17 model->setOperandValue(op2, op2_init, sizeof(float) * 9)
[all...] |
| conv_float_channels.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type0);
17 model->setOperandValue(op2, op2_init, sizeof(float) * 9)
[all...] |
| conv_float_large.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type0);
17 model->setOperandValue(op2, op2_init, sizeof(float) * 9)
[all...] |
| conv_quant8.model.cpp | 2 void CreateModel(Model *model) {
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto op3 = model->addOperand(&type2);
12 auto pad0 = model->addOperand(&type3);
13 auto act = model->addOperand(&type3);
14 auto stride = model->addOperand(&type3);
15 auto op4 = model->addOperand(&type4);
18 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 4)
[all...] |
| conv_quant8_channels.model.cpp | 2 void CreateModel(Model *model) {
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto op3 = model->addOperand(&type2);
12 auto pad0 = model->addOperand(&type3);
13 auto act = model->addOperand(&type3);
14 auto stride = model->addOperand(&type3);
15 auto op4 = model->addOperand(&type4);
18 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 9)
[all...] |
| conv_quant8_large.model.cpp | 2 void CreateModel(Model *model) {
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto op3 = model->addOperand(&type2);
12 auto pad0 = model->addOperand(&type3);
13 auto act = model->addOperand(&type3);
14 auto stride = model->addOperand(&type3);
15 auto op4 = model->addOperand(&type4);
18 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 9)
[all...] |
| conv_quant8_overflow.model.cpp | 2 void CreateModel(Model *model) {
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto op3 = model->addOperand(&type2);
12 auto pad0 = model->addOperand(&type3);
13 auto act = model->addOperand(&type3);
14 auto stride = model->addOperand(&type3);
15 auto op4 = model->addOperand(&type4);
18 model->setOperandValue(op2, op2_init, sizeof(uint8_t) * 9)
[all...] |
| depthwise_conv2d_float_large_2_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) {
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto op3 = model->addOperand(&type2);
12 auto pad0 = model->addOperand(&type3);
13 auto act = model->addOperand(&type3);
14 auto stride = model->addOperand(&type3);
15 auto channelMultiplier = model->addOperand(&type3);
16 auto op4 = model->addOperand(&type4)
[all...] |
| depthwise_conv2d_float_large_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type0);
10 auto op3 = model->addOperand(&type1);
11 auto pad0 = model->addOperand(&type2);
12 auto act = model->addOperand(&type2);
13 auto stride = model->addOperand(&type2);
14 auto channelMultiplier = model->addOperand(&type2);
15 auto op4 = model->addOperand(&type3)
[all...] |
| depthwise_conv2d_float_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto channelMultiplier = model->addOperand(&type3);
15 auto op4 = model->addOperand(&type1)
[all...] |
| depthwise_conv2d_quant8_large_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type0);
10 auto op3 = model->addOperand(&type1);
11 auto pad0 = model->addOperand(&type2);
12 auto act = model->addOperand(&type2);
13 auto stride = model->addOperand(&type2);
14 auto channelMultiplier = model->addOperand(&type2);
15 auto op4 = model->addOperand(&type3)
[all...] |
| depthwise_conv2d_quant8_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type0);
10 auto op3 = model->addOperand(&type1);
11 auto pad0 = model->addOperand(&type2);
12 auto act = model->addOperand(&type2);
13 auto stride = model->addOperand(&type2);
14 auto channelMultiplier = model->addOperand(&type2);
15 auto op4 = model->addOperand(&type3)
[all...] |
| depthwise_conv_2d.model.cpp | 2 void CreateModel(Model *model) {
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type0);
9 auto op3 = model->addOperand(&type1);
10 auto pad0 = model->addOperand(&type2);
11 auto act = model->addOperand(&type2);
12 auto stride = model->addOperand(&type2);
13 auto channelMultiplier = model->addOperand(&type2);
14 auto op4 = model->addOperand(&type1)
[all...] |
| depthwise_conv_2d_quant8.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type0);
10 auto op3 = model->addOperand(&type1);
11 auto pad0 = model->addOperand(&type2);
12 auto act = model->addOperand(&type2);
13 auto stride = model->addOperand(&type2);
14 auto channelMultiplier = model->addOperand(&type2);
15 auto op4 = model->addOperand(&type3)
[all...] |
| svdf2_relaxed.model.cpp | 2 void CreateModel(Model *model) {
11 auto input = model->addOperand(&type0);
12 auto weights_feature = model->addOperand(&type1);
13 auto weights_time = model->addOperand(&type2);
14 auto bias = model->addOperand(&type3);
15 auto state_in = model->addOperand(&type4);
16 auto rank_param = model->addOperand(&type5);
17 auto activation_param = model->addOperand(&type5);
18 auto state_out = model->addOperand(&type4)
[all...] |
| /external/junit/src/main/java/org/junit/runners/model/ |
| Statement.java | 1 package org.junit.runners.model;
|
| /frameworks/ml/nn/common/include/ |
| ValidateHal.h | 25 // Verifies that the model is valid, i.e. it is consistent, takes
31 bool validateModel(const V1_0::Model& model);
32 bool validateModel(const V1_1::Model& model);
34 // Verfies that the request for the given model is valid.
38 bool validateRequest(const Request& request, const V1_0::Model& model);
39 bool validateRequest(const Request& request, const V1_1::Model& model);
[all...] |
