| /external/llvm/lib/Target/MSP430/ |
| MSP430TargetMachine.cpp | 29 static Reloc::Model getEffectiveRelocModel(Optional<Reloc::Model> RM) {
38 Optional<Reloc::Model> RM,
39 CodeModel::Model CM,
|
| /external/llvm/lib/Target/XCore/ |
| XCoreTargetMachine.cpp | 24 static Reloc::Model getEffectiveRelocModel(Optional<Reloc::Model> RM) {
30 /// Create an ILP32 architecture model
35 Optional<Reloc::Model> RM,
36 CodeModel::Model CM,
|
| /external/testng/src/main/java/org/testng/mustache/ |
| StringChunk.java | 7 public StringChunk(Model model, String string) {
8 super(model);
|
| VariableChunk.java | 7 public VariableChunk(Model model, String variable) {
8 super(model);
21 return "[VariableChunk " + m_variable + " model:" + m_model + "]";
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| conv_1_h3_w2_SAME.model.py | 0 model = Model()
10 model = model.Conv(i2, i0, i1, i4, i5, i6, i7).To(i3) variable
1 model = Model() variable
|
| conv_1_h3_w2_VALID.model.py | 0 model = Model()
10 model = model.Conv(i2, i0, i1, i4, i5, i6, i7).To(i3) variable
1 model = Model() variable
|
| conv_3_h3_w2_SAME.model.py | 0 model = Model()
10 model = model.Conv(i2, i0, i1, i4, i5, i6, i7).To(i3) variable
1 model = Model() variable
|
| conv_3_h3_w2_VALID.model.py | 0 model = Model()
10 model = model.Conv(i2, i0, i1, i4, i5, i6, i7).To(i3) variable
1 model = Model() variable
|
| /frameworks/ml/nn/runtime/test/specs/ |
| add.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("ADD", i1, i2, act).To(i3) variable
|
| add_broadcast_quant8.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("ADD", i1, i2, act).To(i3) variable
|
| add_quant8.mod.py | 0 # model
2 model = Model() variable
7 model = model.Operation("ADD", i1, i2, act).To(i3) variable
|
| concat_float_1.mod.py | 17 # model
18 model = Model() variable
23 model = model.Operation("CONCATENATION", i1, i2, axis0).To(r) variable
|
| concat_quant8_1.mod.py | 17 # model
18 model = Model() variable
23 model = model.Operation("CONCATENATION", i1, i2, axis1).To(r) variable
|
| depth_to_space_float_1.mod.py | 0 model = Model()
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
1 model = Model() variable
|
| depth_to_space_float_2.mod.py | 0 model = Model()
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
1 model = Model() variable
|
| depth_to_space_float_3.mod.py | 0 model = Model()
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
1 model = Model() variable
|
| depth_to_space_quant8_1.mod.py | 0 model = Model()
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
1 model = Model() variable
|
| depth_to_space_quant8_2.mod.py | 0 model = Model()
6 model = model.Operation("DEPTH_TO_SPACE", i1, block).To(output) variable
1 model = Model() variable
|
| fully_connected_float.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
| fully_connected_float_large.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
| fully_connected_float_large_weights_as_inputs.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
| fully_connected_float_weights_as_inputs.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
| fully_connected_quant8.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
| fully_connected_quant8_large.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
| fully_connected_quant8_large_weights_as_inputs.mod.py | 17 model = Model() variable
23 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act).To(out0) variable
|
