HomeSort by relevance Sort by last modified time
    Searched refs:model (Results 1 - 25 of 5421) sorted by null

1 2 3 4 5 6 7 8 91011>>

  /external/caliper/caliper/src/main/java/com/google/caliper/model/
package-info.java 18 * These classes model the data that is collected by the caliper {@linkplain
25 package com.google.caliper.model
  /frameworks/ml/nn/runtime/test/generated/models/
floor_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_FLOOR, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
l2_normalization_2_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
l2_normalization_large_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
l2_normalization_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_L2_NORMALIZATION, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
logistic_float_1_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op3 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_LOGISTIC, {op1}, {op3});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
logistic_float_2_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_LOGISTIC, {input}, {output});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
relu1_float_1_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU1, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
relu1_float_2_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU1, {input}, {output});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
relu6_float_1_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU6, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
relu6_float_2_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU6, {input}, {output});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
relu_float_1_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
relu_float_2_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {input}, {output});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
tanh_relaxed.model.cpp 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
softmax_float_1_relaxed.model.cpp 2 void CreateModel(Model *model) {
6 auto input = model->addOperand(&type0);
7 auto beta = model->addOperand(&type1);
8 auto output = model->addOperand(&type0);
11 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
14 model->identifyInputsAndOutputs(
18 model->relaxComputationFloat32toFloat16(true);
19 assert(model->isValid())
    [all...]
softmax_float_2_relaxed.model.cpp 2 void CreateModel(Model *model) {
6 auto input = model->addOperand(&type0);
7 auto beta = model->addOperand(&type1);
8 auto output = model->addOperand(&type0);
11 model->setOperandValue(beta, beta_init, sizeof(float) * 1);
12 model->addOperation(ANEURALNETWORKS_SOFTMAX, {input, beta}, {output});
14 model->identifyInputsAndOutputs(
18 model->relaxComputationFloat32toFloat16(true);
19 assert(model->isValid())
    [all...]
transpose_relaxed.model.cpp 2 void CreateModel(Model *model) {
6 auto input = model->addOperand(&type0);
7 auto perms = model->addOperand(&type1);
8 auto output = model->addOperand(&type0);
11 model->setOperandValue(perms, perms_init, sizeof(int32_t) * 4);
12 model->addOperation(ANEURALNETWORKS_TRANSPOSE, {input, perms}, {output});
14 model->identifyInputsAndOutputs(
18 model->relaxComputationFloat32toFloat16(true);
19 assert(model->isValid())
    [all...]
  /frameworks/ml/nn/runtime/test/specs/V1_1/
add_relaxed.mod.py 17 # model
18 model = Model() variable
23 model = model.Operation("ADD", i1, i2, act).To(i3) variable
24 model = model.RelaxedExecution(True) variable
batch_to_space_float_1_relaxed.mod.py 18 model = Model() variable
23 model = model.Operation("BATCH_TO_SPACE_ND", i1, block).To(output) variable
24 model = model.RelaxedExecution(True) variable
batch_to_space_relaxed.mod.py 17 model = Model() variable
22 model = model.Operation("BATCH_TO_SPACE_ND", i1, block).To(output) variable
23 model = model.RelaxedExecution(True) variable
concat_float_1_relaxed.mod.py 17 # model
18 model = Model() variable
23 model = model.Operation("CONCATENATION", i1, i2, axis0).To(r) variable
24 model = model.RelaxedExecution(True) variable
depth_to_space_float_1_relaxed.mod.py 17 model = Model() variable
22 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
23 model = model.RelaxedExecution(True) variable
depth_to_space_float_2_relaxed.mod.py 17 model = Model() variable
22 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
23 model = model.RelaxedExecution(True) variable
depth_to_space_float_3_relaxed.mod.py 17 model = Model() variable
22 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
23 model = model.RelaxedExecution(True) variable
dequantize_relaxed.mod.py 17 # model
18 model = Model() variable
21 model = model.Operation("DEQUANTIZE", i1).To(i2) variable
22 model = model.RelaxedExecution(True) variable

Completed in 300 milliseconds

1 2 3 4 5 6 7 8 91011>>