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Searched refs:act_none (Results 1 – 24 of 24) sorted by relevance

/frameworks/ml/nn/runtime/test/generated/models/
Dl2_pool_float_2_relaxed.model.cpp11 auto act_none = model->addOperand(&type1); in CreateModel() local
19 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
20 …peration(ANEURALNETWORKS_L2_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel()
43 auto act_none = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
51 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
52 …peration(ANEURALNETWORKS_L2_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel_dynamic_output_shape()
Dmax_pool_float_4.model.cpp11 auto act_none = model->addOperand(&type1); in CreateModel() local
19 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
20 …eration(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel()
41 auto act_none = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
49 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 …eration(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel_dynamic_output_shape()
Davg_pool_quant8_5.model.cpp11 auto act_none = model->addOperand(&type1); in CreateModel() local
19 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
20 …ion(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel()
41 auto act_none = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
49 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 …ion(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel_dynamic_output_shape()
Davg_pool_float_5_relaxed.model.cpp11 auto act_none = model->addOperand(&type1); in CreateModel() local
19 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
20 …ion(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel()
43 auto act_none = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
51 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
52 …ion(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel_dynamic_output_shape()
Dmax_pool_float_4_relaxed.model.cpp11 auto act_none = model->addOperand(&type1); in CreateModel() local
19 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
20 …eration(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel()
43 auto act_none = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
51 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
52 …eration(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel_dynamic_output_shape()
Dmax_pool_quant8_4.model.cpp11 auto act_none = model->addOperand(&type1); in CreateModel() local
19 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
20 …eration(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel()
41 auto act_none = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
49 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 …eration(ANEURALNETWORKS_MAX_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel_dynamic_output_shape()
Dl2_pool_float_2.model.cpp11 auto act_none = model->addOperand(&type1); in CreateModel() local
19 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
20 …peration(ANEURALNETWORKS_L2_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel()
41 auto act_none = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
49 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 …peration(ANEURALNETWORKS_L2_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel_dynamic_output_shape()
Davg_pool_float_5.model.cpp11 auto act_none = model->addOperand(&type1); in CreateModel() local
19 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
20 …ion(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel()
41 auto act_none = model->addOperand(&type1); in CreateModel_dynamic_output_shape() local
49 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
50 …ion(ANEURALNETWORKS_AVERAGE_POOL_2D, {op1, pad_same, cons2, cons2, cons2, cons2, act_none}, {op3}); in CreateModel_dynamic_output_shape()
Ddepthwise_conv2d_float_2.model.cpp16 auto act_none = model->addOperand(&type3); in CreateModel() local
30 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
31 …DEPTHWISE_CONV_2D, {op1, op2, op3, pad_valid, stride, stride, channelMultiplier, act_none}, {op4}); in CreateModel()
57 auto act_none = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
71 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
72 …DEPTHWISE_CONV_2D, {op1, op2, op3, pad_valid, stride, stride, channelMultiplier, act_none}, {op4}); in CreateModel_dynamic_output_shape()
Ddepthwise_conv2d_float_2_relaxed.model.cpp16 auto act_none = model->addOperand(&type3); in CreateModel() local
30 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
31 …DEPTHWISE_CONV_2D, {op1, op2, op3, pad_valid, stride, stride, channelMultiplier, act_none}, {op4}); in CreateModel()
59 auto act_none = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
73 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
74 …DEPTHWISE_CONV_2D, {op1, op2, op3, pad_valid, stride, stride, channelMultiplier, act_none}, {op4}); in CreateModel_dynamic_output_shape()
Ddepthwise_conv2d_quant8_2.model.cpp16 auto act_none = model->addOperand(&type3); in CreateModel() local
30 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
31 …DEPTHWISE_CONV_2D, {op1, op2, op3, pad_valid, stride, stride, channelMultiplier, act_none}, {op4}); in CreateModel()
57 auto act_none = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
71 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
72 …DEPTHWISE_CONV_2D, {op1, op2, op3, pad_valid, stride, stride, channelMultiplier, act_none}, {op4}); in CreateModel_dynamic_output_shape()
Dconv_quant8_2.model.cpp16 auto act_none = model->addOperand(&type3); in CreateModel() local
30 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel()
31 …dOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_valid, stride3, stride1, act_none}, {op4}); in CreateModel()
57 auto act_none = model->addOperand(&type3); in CreateModel_dynamic_output_shape() local
71 model->setOperandValue(act_none, act_none_init, sizeof(int32_t) * 1); in CreateModel_dynamic_output_shape()
72 …dOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_valid, stride3, stride1, act_none}, {op4}); in CreateModel_dynamic_output_shape()
/frameworks/ml/nn/runtime/test/specs/V1_0/
Davg_pool_quant8_5.mod.py22 act_none = Int32Scalar("act_none", 0) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i…
Dmax_pool_quant8_4.mod.py22 act_none = Int32Scalar("act_none", 0) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Davg_pool_float_5.mod.py22 act_none = Int32Scalar("act_none", 0) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i…
Dmax_pool_float_4.mod.py22 act_none = Int32Scalar("act_none", 0) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Dl2_pool_float_2.mod.py22 act_none = Int32Scalar("act_none", 0) variable
24 model = model.Operation("L2_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Dconv_quant8_2.mod.py22 act_none = Int32Scalar("act_none", 0) variable
29 stride1, act_none).To(output)
Ddepthwise_conv2d_quant8_2.mod.py22 act_none = Int32Scalar("act_none", 0) variable
31 cm, act_none).To(output)
Ddepthwise_conv2d_float_2.mod.py22 act_none = Int32Scalar("act_none", 0) variable
31 cm, act_none).To(output)
/frameworks/ml/nn/runtime/test/specs/V1_1/
Dl2_pool_float_2_relaxed.mod.py22 act_none = Int32Scalar("act_none", 0) variable
24 model = model.Operation("L2_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Davg_pool_float_5_relaxed.mod.py22 act_none = Int32Scalar("act_none", 0) variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i…
Dmax_pool_float_4_relaxed.mod.py22 act_none = Int32Scalar("act_none", 0) variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3)
Ddepthwise_conv2d_float_2_relaxed.mod.py22 act_none = Int32Scalar("act_none", 0) variable
31 cm, act_none).To(output)