Searched refs:op4 (Results 1 - 25 of 49) sorted by relevance

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/frameworks/ml/nn/runtime/test/generated/models/
H A D	conv_float.model.cpp	14 auto op4 = model->addOperand(&type1); local 26 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 30 {op4});
H A D	conv_float_2.model.cpp	14 auto op4 = model->addOperand(&type0); local 26 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, {op4}); 30 {op4});
H A D	conv_float_2_relaxed.model.cpp	14 auto op4 = model->addOperand(&type0); local 26 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad_same, stride, stride, act_relu}, {op4}); 30 {op4});
H A D	conv_float_channels.model.cpp	14 auto op4 = model->addOperand(&type0); local 26 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 30 {op4});
H A D	conv_float_channels_relaxed.model.cpp	14 auto op4 = model->addOperand(&type0); local 26 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 30 {op4});
H A D	conv_float_channels_weights_as_inputs.model.cpp	14 auto op4 = model->addOperand(&type0); local 22 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 26 {op4});
H A D	conv_float_channels_weights_as_inputs_relaxed.model.cpp	14 auto op4 = model->addOperand(&type0); local 22 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 26 {op4});
H A D	conv_float_large.model.cpp	14 auto op4 = model->addOperand(&type0); local 26 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 30 {op4});
H A D	conv_float_large_relaxed.model.cpp	14 auto op4 = model->addOperand(&type0); local 26 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 30 {op4});
H A D	conv_float_large_weights_as_inputs.model.cpp	14 auto op4 = model->addOperand(&type0); local 22 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 26 {op4});
H A D	conv_float_large_weights_as_inputs_relaxed.model.cpp	14 auto op4 = model->addOperand(&type0); local 22 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 26 {op4});
H A D	conv_float_relaxed.model.cpp	14 auto op4 = model->addOperand(&type1); local 26 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 30 {op4});
H A D	conv_float_weights_as_inputs.model.cpp	14 auto op4 = model->addOperand(&type1); local 22 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 26 {op4});
H A D	conv_float_weights_as_inputs_relaxed.model.cpp	14 auto op4 = model->addOperand(&type1); local 22 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 26 {op4});
H A D	conv_quant8.model.cpp	15 auto op4 = model->addOperand(&type4); local 27 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 31 {op4});
H A D	conv_quant8_channels.model.cpp	15 auto op4 = model->addOperand(&type4); local 27 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 31 {op4});
H A D	conv_quant8_channels_weights_as_inputs.model.cpp	15 auto op4 = model->addOperand(&type4); local 23 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 27 {op4});
H A D	conv_quant8_large.model.cpp	15 auto op4 = model->addOperand(&type4); local 27 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 31 {op4});
H A D	conv_quant8_large_weights_as_inputs.model.cpp	15 auto op4 = model->addOperand(&type4); local 23 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 27 {op4});
H A D	conv_quant8_overflow.model.cpp	15 auto op4 = model->addOperand(&type4); local 27 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 31 {op4});
H A D	conv_quant8_overflow_weights_as_inputs.model.cpp	15 auto op4 = model->addOperand(&type4); local 23 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 27 {op4});
H A D	conv_quant8_weights_as_inputs.model.cpp	15 auto op4 = model->addOperand(&type4); local 23 model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4}); 27 {op4});
H A D	depthwise_conv2d_float_large_2_weights_as_inputs.model.cpp	16 auto op4 = model->addOperand(&type4); local 26 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, channelMultiplier, act}, {op4}); 30 {op4});
H A D	depthwise_conv2d_float_large_2_weights_as_inputs_relaxed.model.cpp	16 auto op4 = model->addOperand(&type4); local 26 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, channelMultiplier, act}, {op4}); 30 {op4});
H A D	depthwise_conv2d_float_large_weights_as_inputs.model.cpp	15 auto op4 = model->addOperand(&type3); local 25 model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, channelMultiplier, act}, {op4}); 29 {op4});

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Indexes created Sun Aug 12 02:23:12 CEST 2018