| /frameworks/ml/nn/runtime/test/generated/models/ |
| relu_quant8_2.model.cpp | 2 void CreateModel(Model *model) {
5 auto input = model->addOperand(&type0);
6 auto output = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_RELU, {input}, {output});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| tanh.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2});
10 model->identifyInputsAndOutputs(
13 assert(model->isValid());
|
| tanh_relaxed.model.cpp | 2 void CreateModel(Model *model) {
5 auto op1 = model->addOperand(&type0);
6 auto op2 = model->addOperand(&type0);
8 model->addOperation(ANEURALNETWORKS_TANH, {op1}, {op2});
10 model->identifyInputsAndOutputs(
14 model->relaxComputationFloat32toFloat16(true);
15 assert(model->isValid());
|
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| avg_pool_float_1.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3) variable
|
| avg_pool_quant8_1.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(o) variable
|
| avg_pool_quant8_4.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("AVERAGE_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act2).To(o) variable
|
| conv_float.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_float_2.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad_same, stride, stride, act_relu).To(output) variable
|
| conv_float_channels.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_float_channels_weights_as_inputs.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_float_large.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_float_large_weights_as_inputs.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_float_weights_as_inputs.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8.mod.py | 18 model = Model() variable
30 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, variable
|
| conv_quant8_2.mod.py | 16 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad_valid, stride3, variable
|
| conv_quant8_channels.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_channels_weights_as_inputs.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_large.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_large_weights_as_inputs.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_overflow.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_overflow_weights_as_inputs.mod.py | 17 model = Model() variable
26 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| conv_quant8_weights_as_inputs.mod.py | 17 model = Model() variable
28 model = model.Operation("CONV_2D", i1, f1, b1, pad0, pad0, pad0, pad0, stride, stride, act).To(output) variable
|
| depthwise_conv2d_float.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
|
| depthwise_conv2d_float_2.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
|
| depthwise_conv2d_float_large.mod.py | 17 model = Model() variable
27 model = model.Operation("DEPTHWISE_CONV_2D", variable
|
