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  /frameworks/ml/nn/runtime/test/generated/models/
rnn.model.cpp 6 OperandType type4(Type::TENSOR_FLOAT32, {2, 16});
14 auto hidden_state_in = model->addOperand(&type4);
16 auto hidden_state_out = model->addOperand(&type4);
17 auto output = model->addOperand(&type4);
rnn_state.model.cpp 6 OperandType type4(Type::TENSOR_FLOAT32, {2, 16});
14 auto hidden_state_in = model->addOperand(&type4);
16 auto hidden_state_out = model->addOperand(&type4);
17 auto output = model->addOperand(&type4);
lstm2.model.cpp 11 OperandType type4(Type::TENSOR_FLOAT32, {4});
24 auto cell_to_forget_weights = model->addOperand(&type4);
25 auto cell_to_output_weights = model->addOperand(&type4);
26 auto input_gate_bias = model->addOperand(&type4);
27 auto forget_gate_bias = model->addOperand(&type4);
28 auto cell_gate_bias = model->addOperand(&type4);
29 auto output_gate_bias = model->addOperand(&type4);
lstm2_state.model.cpp 11 OperandType type4(Type::TENSOR_FLOAT32, {4});
24 auto cell_to_forget_weights = model->addOperand(&type4);
25 auto cell_to_output_weights = model->addOperand(&type4);
26 auto input_gate_bias = model->addOperand(&type4);
27 auto forget_gate_bias = model->addOperand(&type4);
28 auto cell_gate_bias = model->addOperand(&type4);
29 auto output_gate_bias = model->addOperand(&type4);
lstm2_state2.model.cpp 11 OperandType type4(Type::TENSOR_FLOAT32, {4});
24 auto cell_to_forget_weights = model->addOperand(&type4);
25 auto cell_to_output_weights = model->addOperand(&type4);
26 auto input_gate_bias = model->addOperand(&type4);
27 auto forget_gate_bias = model->addOperand(&type4);
28 auto cell_gate_bias = model->addOperand(&type4);
29 auto output_gate_bias = model->addOperand(&type4);
fully_connected_quant8_weights_as_inputs.model.cpp 3 OperandType type4(Type::INT32, {});
13 auto act = model->addOperand(&type4);
hashtable_lookup_float.model.cpp 7 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {4}, 1.f, 0);
13 auto hits = model->addOperand(&type4);
hashtable_lookup_quant8.model.cpp 7 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {4}, 1.f, 0);
13 auto hits = model->addOperand(&type4);
lsh_projection_weights_as_inputs.model.cpp 7 OperandType type4(Type::TENSOR_INT32, {8});
13 auto output = model->addOperand(&type4);
svdf.model.cpp 4 OperandType type4(Type::TENSOR_FLOAT32, {2, 40});
15 auto state_in = model->addOperand(&type4);
18 auto state_out = model->addOperand(&type4);
svdf_state.model.cpp 4 OperandType type4(Type::TENSOR_FLOAT32, {2, 40});
15 auto state_in = model->addOperand(&type4);
18 auto state_out = model->addOperand(&type4);
lstm.model.cpp 11 OperandType type4(Type::TENSOR_FLOAT32, {4});
26 auto input_gate_bias = model->addOperand(&type4);
27 auto forget_gate_bias = model->addOperand(&type4);
28 auto cell_gate_bias = model->addOperand(&type4);
29 auto output_gate_bias = model->addOperand(&type4);
lstm_state.model.cpp 11 OperandType type4(Type::TENSOR_FLOAT32, {4});
26 auto input_gate_bias = model->addOperand(&type4);
27 auto forget_gate_bias = model->addOperand(&type4);
28 auto cell_gate_bias = model->addOperand(&type4);
29 auto output_gate_bias = model->addOperand(&type4);
lstm_state2.model.cpp 11 OperandType type4(Type::TENSOR_FLOAT32, {4});
26 auto input_gate_bias = model->addOperand(&type4);
27 auto forget_gate_bias = model->addOperand(&type4);
28 auto cell_gate_bias = model->addOperand(&type4);
29 auto output_gate_bias = model->addOperand(&type4);
conv_1_h3_w2_SAME.model.cpp 6 OperandType type4(Type::TENSOR_FLOAT32, {1});
16 auto op1 = model->addOperand(&type4);
conv_1_h3_w2_VALID.model.cpp 6 OperandType type4(Type::TENSOR_FLOAT32, {1});
15 auto op1 = model->addOperand(&type4);
conv_3_h3_w2_VALID.model.cpp 6 OperandType type4(Type::TENSOR_FLOAT32, {3});
15 auto op1 = model->addOperand(&type4);
conv_quant8.model.cpp 6 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 1}, 1.f, 0);
15 auto op4 = model->addOperand(&type4);
conv_quant8_channels.model.cpp 6 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 3}, 1.0, 0);
15 auto op4 = model->addOperand(&type4);
conv_quant8_channels_weights_as_inputs.model.cpp 6 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 3}, 1.0, 0);
15 auto op4 = model->addOperand(&type4);
conv_quant8_large.model.cpp 6 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 3}, 1.0, 0);
15 auto op4 = model->addOperand(&type4);
conv_quant8_large_weights_as_inputs.model.cpp 6 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 3}, 1.0, 0);
15 auto op4 = model->addOperand(&type4);
conv_quant8_overflow.model.cpp 6 OperandType type4(Type::TENSOR_QUANT8_ASYMM, {1, 2, 3, 3}, 1.0, 0);
15 auto op4 = model->addOperand(&type4);
  /frameworks/base/cmds/interrupter/
interrupter.h 50 #define CALL_FUNCTION_4(sym, ret, type1, type2, type3, type4) \
51 ret (*real_##sym)(type1, type2, type3, type4) = NULL; \
52 ret sym(type1 arg1, type2 arg2, type3 arg3, type4 arg4) { \
57 #define CALL_FUNCTION_5(sym, ret, type1, type2, type3, type4, type5) \
58 ret (*real_##sym)(type1, type2, type3, type4, type5) = NULL; \
59 ret sym(type1 arg1, type2 arg2, type3 arg3, type4 arg4, type5 arg5) { \
  /external/clang/test/SemaTemplate/
ms-if-exists.cpp 22 typedef T::X type4; typedef
29 X<int>::type4 i4; // expected-error{{no type named 'type4' in 'X<int>'}}

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