| /frameworks/ml/nn/runtime/test/generated/models/ |
| D | l2_pool_float.model.cpp | 8 auto pad0 = model->addOperand(&type1); in CreateModel() local
14 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
19 …model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1,… in CreateModel()
38 auto pad0 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
44 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1,… in CreateModel_dynamic_output_shape()
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| D | max_pool_float_1_relaxed.model.cpp | 8 auto pad0 = model->addOperand(&type1); in CreateModel() local
14 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
19 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1… in CreateModel()
40 auto pad0 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
46 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
51 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1… in CreateModel_dynamic_output_shape()
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| D | avg_pool_quant8_4.model.cpp | 8 auto pad0 = model->addOperand(&type1); in CreateModel() local
14 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
19 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, c… in CreateModel()
38 auto pad0 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
44 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, c… in CreateModel_dynamic_output_shape()
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| D | l2_pool_float_relaxed.model.cpp | 8 auto pad0 = model->addOperand(&type1); in CreateModel() local
14 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
19 …model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1,… in CreateModel()
40 auto pad0 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
46 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
51 …model->addOperation(ANEURALNETWORKS_L2_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1,… in CreateModel_dynamic_output_shape()
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| D | avg_pool_float_1_relaxed.model.cpp | 8 auto pad0 = model->addOperand(&type1); in CreateModel() local
14 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
19 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, c… in CreateModel()
40 auto pad0 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
46 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
51 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, c… in CreateModel_dynamic_output_shape()
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| D | max_pool_float_1.model.cpp | 8 auto pad0 = model->addOperand(&type1); in CreateModel() local
14 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
19 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1… in CreateModel()
38 auto pad0 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
44 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1… in CreateModel_dynamic_output_shape()
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| D | avg_pool_quant8_1.model.cpp | 8 auto pad0 = model->addOperand(&type1); in CreateModel() local
14 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
19 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, c… in CreateModel()
38 auto pad0 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
44 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, c… in CreateModel_dynamic_output_shape()
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| D | max_pool_quant8_1.model.cpp | 8 auto pad0 = model->addOperand(&type1); in CreateModel() local
14 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
19 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1… in CreateModel()
38 auto pad0 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
44 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …model->addOperation(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, cons1… in CreateModel_dynamic_output_shape()
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| D | avg_pool_float_1.model.cpp | 8 auto pad0 = model->addOperand(&type1); in CreateModel() local
14 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
19 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, c… in CreateModel()
38 auto pad0 = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
44 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
49 …model->addOperation(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad0, pad0, pad0, pad0, cons1, cons1, c… in CreateModel_dynamic_output_shape()
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| D | conv_quant8_weights_as_inputs.model.cpp | 13 auto pad0 = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
24 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel()
47 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
53 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
58 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel_dynamic_output_shape()
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| D | conv_quant8_channels_weights_as_inputs.model.cpp | 13 auto pad0 = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
24 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel()
47 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
53 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
58 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel_dynamic_output_shape()
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| D | conv_float_channels_weights_as_inputs.model.cpp | 12 auto pad0 = model->addOperand(&type3); in CreateModel() local
18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
23 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel()
46 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
52 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
57 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel_dynamic_output_shape()
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| D | conv_quant8_overflow_weights_as_inputs.model.cpp | 13 auto pad0 = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
24 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel()
47 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
53 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
58 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel_dynamic_output_shape()
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| D | conv_float_weights_as_inputs.model.cpp | 12 auto pad0 = model->addOperand(&type3); in CreateModel() local
18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
23 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel()
46 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
52 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
57 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel_dynamic_output_shape()
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| D | conv_float_channels_weights_as_inputs_relaxed.model.cpp | 12 auto pad0 = model->addOperand(&type3); in CreateModel() local
18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
23 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel()
48 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
54 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
59 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel_dynamic_output_shape()
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| D | conv_float_large_weights_as_inputs_relaxed.model.cpp | 12 auto pad0 = model->addOperand(&type3); in CreateModel() local
18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
23 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel()
48 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
54 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
59 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel_dynamic_output_shape()
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| D | conv_float_weights_as_inputs_relaxed.model.cpp | 12 auto pad0 = model->addOperand(&type3); in CreateModel() local
18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
23 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel()
48 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
54 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
59 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel_dynamic_output_shape()
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| D | conv_quant8_large_weights_as_inputs.model.cpp | 13 auto pad0 = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
24 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel()
47 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
53 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
58 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel_dynamic_output_shape()
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| D | conv_float_large_weights_as_inputs.model.cpp | 12 auto pad0 = model->addOperand(&type3); in CreateModel() local
18 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
23 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel()
46 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
52 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
57 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel_dynamic_output_shape()
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| D | depthwise_conv2d_quant8_large_weights_as_inputs.model.cpp | 12 auto pad0 = model->addOperand(&type2); in CreateModel() local
19 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
26 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… in CreateModel()
48 auto pad0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
55 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
62 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… in CreateModel_dynamic_output_shape()
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| D | conv_float_channels.model.cpp | 12 auto pad0 = model->addOperand(&type3); in CreateModel() local
22 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
27 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel()
50 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
60 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
65 …model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, strid… in CreateModel_dynamic_output_shape()
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| D | depthwise_conv2d_quant8_weights_as_inputs.model.cpp | 12 auto pad0 = model->addOperand(&type2); in CreateModel() local
19 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
26 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… in CreateModel()
48 auto pad0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
55 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
62 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… in CreateModel_dynamic_output_shape()
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| D | depthwise_conv2d_float_weights_as_inputs.model.cpp | 12 auto pad0 = model->addOperand(&type3); in CreateModel() local
19 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
26 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… in CreateModel()
49 auto pad0 = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
56 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
63 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… in CreateModel_dynamic_output_shape()
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| D | depthwise_conv2d_float_large_weights_as_inputs.model.cpp | 12 auto pad0 = model->addOperand(&type2); in CreateModel() local
19 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
26 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… in CreateModel()
48 auto pad0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
55 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
62 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… in CreateModel_dynamic_output_shape()
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| D | depthwise_conv2d_float_large_2_weights_as_inputs.model.cpp | 12 auto pad0 = model->addOperand(&type2); in CreateModel() local
19 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel()
26 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… in CreateModel()
48 auto pad0 = model->addOperand(&type2); in CreateModel_dynamic_output_shape() local
55 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
62 …model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, str… in CreateModel_dynamic_output_shape()
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