| /external/junit/src/main/java/org/junit/runners/model/ |
| Statement.java | 1 package org.junit.runners.model;
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| 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_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...] |
| embedding_lookup.model.cpp | 2 void CreateModel(Model *model) {
6 auto index = model->addOperand(&type0);
7 auto value = model->addOperand(&type1);
8 auto output = model->addOperand(&type1);
10 model->addOperation(ANEURALNETWORKS_EMBEDDING_LOOKUP, {index, value}, {output});
12 model->identifyInputsAndOutputs(
15 assert(model->isValid());
|
| reshape_quant8_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) {
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type1);
9 auto op3 = model->addOperand(&type2);
11 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
13 model->identifyInputsAndOutputs(
16 assert(model->isValid());
|
| reshape_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) {
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type1);
9 auto op3 = model->addOperand(&type2);
11 model->addOperation(ANEURALNETWORKS_RESHAPE, {op1, op2}, {op3});
13 model->identifyInputsAndOutputs(
16 assert(model->isValid());
|
| fully_connected_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 b0 = model->addOperand(&type1);
11 auto op3 = model->addOperand(&type2);
12 auto act = model->addOperand(&type3);
15 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
18 model->identifyInputsAndOutputs
[all...] |
| fully_connected_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 b0 = model->addOperand(&type2);
11 auto op3 = model->addOperand(&type0);
12 auto act = model->addOperand(&type3);
15 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
18 model->identifyInputsAndOutputs
[all...] |
| fully_connected_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 b0 = model->addOperand(&type1);
11 auto op3 = model->addOperand(&type2);
12 auto act = model->addOperand(&type3);
15 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
16 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
18 model->identifyInputsAndOutputs
[all...] |
| fully_connected_quant8_weights_as_inputs.model.cpp | 2 void CreateModel(Model *model) {
9 auto op1 = model->addOperand(&type0);
10 auto op2 = model->addOperand(&type1);
11 auto b0 = model->addOperand(&type2);
12 auto op3 = model->addOperand(&type3);
13 auto act = model->addOperand(&type4);
16 model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
17 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act}, {op3});
19 model->identifyInputsAndOutputs
[all...] |
| resize_bilinear.model.cpp | 2 void CreateModel(Model *model) {
7 auto op1 = model->addOperand(&type0);
8 auto op2 = model->addOperand(&type1);
9 auto width = model->addOperand(&type2);
10 auto height = model->addOperand(&type2);
13 model->setOperandValue(width, width_init, sizeof(int32_t) * 1);
15 model->setOperandValue(height, height_init, sizeof(int32_t) * 1);
16 model->addOperation(ANEURALNETWORKS_RESIZE_BILINEAR, {op1, width, height}, {op2});
18 model->identifyInputsAndOutputs
[all...] |
| /frameworks/ml/nn/tools/test_generator/tests/P_weird/ |
| weird_add.mod.py | 0 # model
2 model = Model() variable
10 model = model.Operation("ADD", i1, i2, b0).To(tmp) variable
11 model = model.Operation("ADD", tmp, i2, b0).To(tmp2) variable
12 model = model.Operation("ADD", tmp2, i4, b0).To(o3) variable
|
| /external/autotest/frontend/ |
| db_router.py | 43 def _should_be_in_server_db(self, model):
44 """Return True if the model should be stored in the server db.
46 @param model: Model to decide for.
48 @return: True if querying the model requires server database.
50 return model._meta.db_table.startswith('server')
53 def _should_be_in_global(self, model):
54 """Returns True if the model should be stored in the global db.
56 @param model: Model to decide for
[all...] |
