Home
last modified time | relevance | path

Searched refs:type_param (Results 1 – 21 of 21) sorted by relevance

/frameworks/ml/nn/runtime/test/generated/models/
Dlsh_projection_float16.model.cpp13 auto type_param = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel()
20 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel()
43 auto type_param = model->addOperand(&type3); in CreateModel_float16() local
49 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel_float16()
50 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel_float16()
73 auto type_param = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
79 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
80 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel_dynamic_output_shape()
103 auto type_param = model->addOperand(&type3); in CreateModel_dynamic_output_shape_float16() local
[all …]
Dlsh_projection_deprecated.model.cpp13 auto type_param = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel()
20 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel()
45 auto type_param = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
51 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
52 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel_dynamic_output_shape()
Dlsh_projection_4_relaxed.model.cpp13 auto type_param = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel()
20 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel()
45 auto type_param = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
51 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
52 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel_dynamic_output_shape()
Dlsh_projection_2_relaxed.model.cpp13 auto type_param = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel()
20 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel()
45 auto type_param = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
51 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
52 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel_dynamic_output_shape()
Dlsh_projection_2.model.cpp13 auto type_param = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel()
20 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel()
43 auto type_param = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
49 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel_dynamic_output_shape()
Dlsh_projection.model.cpp13 auto type_param = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel()
20 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel()
43 auto type_param = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
49 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel_dynamic_output_shape()
Dlsh_projection_weights_as_inputs_relaxed.model.cpp13 auto type_param = model->addOperand(&type3); in CreateModel() local
17 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel()
43 auto type_param = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
47 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
48 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel_dynamic_output_shape()
Dlsh_projection_3_relaxed.model.cpp13 auto type_param = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel()
20 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel()
45 auto type_param = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
51 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
52 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel_dynamic_output_shape()
Dlsh_projection_relaxed.model.cpp13 auto type_param = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel()
20 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel()
45 auto type_param = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
51 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
52 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel_dynamic_output_shape()
Dlsh_projection_weights_as_inputs.model.cpp13 auto type_param = model->addOperand(&type3); in CreateModel() local
17 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel()
18 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel()
41 auto type_param = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
45 model->setOperandValue(type_param, type_param_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
46 model->addOperation(ANEURALNETWORKS_LSH_PROJECTION, {hash, lookup, weight, type_param}, {output}); in CreateModel_dynamic_output_shape()
/frameworks/ml/nn/runtime/test/specs/V1_0/
Dlsh_projection_2.mod.py27 type_param = Int32Scalar("type_param", 1) # SPARSE variable
30 type_param).To(output)
Dlsh_projection.mod.py27 type_param = Int32Scalar("type_param", 2) # DENSE variable
30 type_param).To(output)
Dlsh_projection_weights_as_inputs.mod.py26 type_param = Int32Scalar("type_param", 2) # DENSE variable
28 model = model.Operation("LSH_PROJECTION", hhash, lookup, weight, type_param).To(output)
/frameworks/ml/nn/runtime/test/specs/V1_2/
Dlsh_projection_float16.mod.py27 type_param = Int32Scalar("type_param", 2) # DENSE variable
30 type_param).To(output)
Dlsh_projection_3_relaxed.mod.py27 type_param = Int32Scalar("type_param", 3) # SPARSE variable
30 type_param).To(output)
Dlsh_projection_deprecated.mod.py27 type_param = Int32Scalar("type_param", 1) # SPARSE DEPRECATED variable
30 type_param).To(output)
Dlsh_projection_4_relaxed.mod.py27 type_param = Int32Scalar("type_param", 1) # SPARSE DEPRECATED variable
30 type_param).To(output)
/frameworks/ml/nn/runtime/test/specs/V1_1/
Dlsh_projection_2_relaxed.mod.py27 type_param = Int32Scalar("type_param", 1) # SPARSE variable
30 type_param).To(output)
Dlsh_projection_relaxed.mod.py27 type_param = Int32Scalar("type_param", 2) # DENSE variable
30 type_param).To(output)
Dlsh_projection_weights_as_inputs_relaxed.mod.py26 type_param = Int32Scalar("type_param", 2) # DENSE variable
28 model = model.Operation("LSH_PROJECTION", hhash, lookup, weight, type_param).To(output)
/frameworks/opt/gamesdk/third_party/protobuf-3.0.0/src/google/protobuf/
Dextension_set.h94 inline ExtensionInfo(FieldType type_param, bool isrepeated, bool ispacked) in ExtensionInfo()
95 : type(type_param), is_repeated(isrepeated), is_packed(ispacked), in ExtensionInfo()