| /frameworks/ml/nn/runtime/test/specs/V1_2/ |
| D | concat_mixed_quant.mod.py | 22 input3 = Input("input3", "TENSOR_FLOAT32", "{2, 1, 2}") variable
26 model = Model().Operation("CONCATENATION", input0, input1, input2, input3, axis).To(output0)
33 input3: [1.3, 3.3, 4.3, 7.3],
39 input3: ["TENSOR_QUANT8_ASYMM", 0.029, 0],
48 input3: [1.3, 3.3, 4.3, 7.3],
54 input3: ["TENSOR_QUANT8_ASYMM", 0.029, 0],
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| /frameworks/ml/nn/runtime/test/generated/models/ |
| D | concat_mixed_quant.model.cpp | 14 auto input3 = model->addOperand(&type6); in CreateModel_quant8() local
20 …model->addOperation(ANEURALNETWORKS_CONCATENATION, {input0, input1, input2, input3, param}, {outpu… in CreateModel_quant8()
23 {input0, input1, input2, input3}, in CreateModel_quant8()
44 auto input3 = model->addOperand(&type6); in CreateModel_dynamic_output_shape_quant8() local
50 …model->addOperation(ANEURALNETWORKS_CONCATENATION, {input0, input1, input2, input3, param}, {outpu… in CreateModel_dynamic_output_shape_quant8()
53 {input0, input1, input2, input3}, in CreateModel_dynamic_output_shape_quant8()
74 auto input3 = model->addOperand(&type6); in CreateModel_quant8_2() local
80 …model->addOperation(ANEURALNETWORKS_CONCATENATION, {input0, input1, input2, input3, param}, {outpu… in CreateModel_quant8_2()
83 {input0, input1, input2, input3}, in CreateModel_quant8_2()
104 auto input3 = model->addOperand(&type6); in CreateModel_dynamic_output_shape_quant8_2() local
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| D | topk_v2.model.cpp | 486 auto input3 = model->addOperand(&type5); in CreateModel_4() local
493 model->addOperation(ANEURALNETWORKS_TOPK_V2, {input3, k3}, {out_values3, out_indices3}); in CreateModel_4()
496 {input3}, in CreateModel_4()
512 auto input3 = model->addOperand(&type5); in CreateModel_relaxed_4() local
519 model->addOperation(ANEURALNETWORKS_TOPK_V2, {input3, k3}, {out_values3, out_indices3}); in CreateModel_relaxed_4()
522 {input3}, in CreateModel_relaxed_4()
540 auto input3 = model->addOperand(&type17); in CreateModel_float16_4() local
547 model->addOperation(ANEURALNETWORKS_TOPK_V2, {input3, k3}, {out_values3, out_indices3}); in CreateModel_float16_4()
550 {input3}, in CreateModel_float16_4()
566 auto input3 = model->addOperand(&type5); in CreateModel_dynamic_output_shape_4() local
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| D | slice.model.cpp | 431 auto input3 = model->addOperand(&type8); in CreateModel_4() local
436 model->addOperation(ANEURALNETWORKS_SLICE, {input3, begin3, size3}, {output3}); in CreateModel_4()
439 {input3, begin3, size3}, in CreateModel_4()
454 auto input3 = model->addOperand(&type8); in CreateModel_relaxed_4() local
459 model->addOperation(ANEURALNETWORKS_SLICE, {input3, begin3, size3}, {output3}); in CreateModel_relaxed_4()
462 {input3, begin3, size3}, in CreateModel_relaxed_4()
479 auto input3 = model->addOperand(&type38); in CreateModel_float16_4() local
484 model->addOperation(ANEURALNETWORKS_SLICE, {input3, begin3, size3}, {output3}); in CreateModel_float16_4()
487 {input3, begin3, size3}, in CreateModel_float16_4()
502 auto input3 = model->addOperand(&type8); in CreateModel_dynamic_output_shape_4() local
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| D | bidirectional_sequence_rnn.model.cpp | 884 auto input3 = model->addOperand(&type0); in CreateModel_4() local
908 …model->addOperation(ANEURALNETWORKS_BIDIRECTIONAL_SEQUENCE_RNN, {input3, fw_weights3, fw_recurrent… in CreateModel_4()
911 …{input3, fw_weights3, fw_recurrent_weights3, fw_bias3, fw_hidden_state3, bw_weights3, bw_recurrent… in CreateModel_4()
932 auto input3 = model->addOperand(&type0); in CreateModel_relaxed_4() local
956 …model->addOperation(ANEURALNETWORKS_BIDIRECTIONAL_SEQUENCE_RNN, {input3, fw_weights3, fw_recurrent… in CreateModel_relaxed_4()
959 …{input3, fw_weights3, fw_recurrent_weights3, fw_bias3, fw_hidden_state3, bw_weights3, bw_recurrent… in CreateModel_relaxed_4()
982 auto input3 = model->addOperand(&type20); in CreateModel_float16_4() local
1006 …model->addOperation(ANEURALNETWORKS_BIDIRECTIONAL_SEQUENCE_RNN, {input3, fw_weights3, fw_recurrent… in CreateModel_float16_4()
1009 …{input3, fw_weights3, fw_recurrent_weights3, fw_bias3, fw_hidden_state3, bw_weights3, bw_recurrent… in CreateModel_float16_4()
1030 auto input3 = model->addOperand(&type0); in CreateModel_dynamic_output_shape_4() local
[all …]
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| /frameworks/opt/gamesdk/third_party/protobuf-3.0.0/src/google/protobuf/io/ |
| D | zero_copy_stream_unittest.cc | 933 ArrayInputStream input3(buffer + 19, 6); in TEST_F() local
943 {&input1, &input2, &input3, &input4, &input5, &input6, &input7}; in TEST_F()
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| /frameworks/ml/nn/runtime/test/ |
| D | TestValidateOperations.cpp | 2795 ANeuralNetworksOperandType input3 = { in reduceOpTest() local
2805 OperationTestBase test(operationCode, {input1, input2, input3}, {output}); in reduceOpTest()
|