| /frameworks/ml/nn/runtime/test/generated/models/ |
| D | fully_connected_quant8_2.model.cpp | 13 auto act_relu = model->addOperand(&type4); in CreateModel() local
21 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); in CreateModel()
22 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {op3}); in CreateModel()
45 auto act_relu = model->addOperand(&type4); in CreateModel_dynamic_output_shape() local
53 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
54 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {op3}); in CreateModel_dynamic_output_shape()
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| D | fully_connected_float_2_relaxed.model.cpp | 13 auto act_relu = model->addOperand(&type4); in CreateModel() local
21 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); in CreateModel()
22 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {op3}); in CreateModel()
47 auto act_relu = model->addOperand(&type4); in CreateModel_dynamic_output_shape() local
55 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
56 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {op3}); in CreateModel_dynamic_output_shape()
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| D | fully_connected_float_2.model.cpp | 13 auto act_relu = model->addOperand(&type4); in CreateModel() local
21 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); in CreateModel()
22 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {op3}); in CreateModel()
45 auto act_relu = model->addOperand(&type4); in CreateModel_dynamic_output_shape() local
53 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
54 model->addOperation(ANEURALNETWORKS_FULLY_CONNECTED, {op1, op2, b0, act_relu}, {op3}); in CreateModel_dynamic_output_shape()
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| D | conv_float_2_relaxed.model.cpp | 14 auto act_relu = model->addOperand(&type3); in CreateModel() local
26 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); in CreateModel()
27 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, … in CreateModel()
54 auto act_relu = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
66 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
67 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, … in CreateModel_dynamic_output_shape()
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| D | conv_float_2.model.cpp | 14 auto act_relu = model->addOperand(&type3); in CreateModel() local
26 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); in CreateModel()
27 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, … in CreateModel()
52 auto act_relu = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
64 model->setOperandValue(act_relu, act_relu_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
65 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, … in CreateModel_dynamic_output_shape()
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| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| D | fully_connected_float_2.mod.py | 47 act_relu = Int32Scalar("act_relu", 1) variable
48 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
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| D | fully_connected_quant8_2.mod.py | 25 act_relu = Int32Scalar("act_relu", 1) variable
26 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
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| D | conv_float_2.mod.py | 22 act_relu = Int32Scalar("act_relu", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output)
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| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| D | fully_connected_float_2_relaxed.mod.py | 47 act_relu = Int32Scalar("act_relu", 1) variable
48 model = model.Operation("FULLY_CONNECTED", in0, weights, bias, act_relu).To(out0)
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| D | conv_float_2_relaxed.mod.py | 22 act_relu = Int32Scalar("act_relu", 1) variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output)
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