| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| local_response_norm_float_2_relaxed.mod.py | 17 model = Model() variable
25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output) variable
26 model = model.RelaxedExecution(True) variable
|
| local_response_norm_float_3_relaxed.mod.py | 17 model = Model() variable
25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output) variable
26 model = model.RelaxedExecution(True) variable
|
| local_response_norm_float_4_relaxed.mod.py | 17 model = Model() variable
25 model = model.Operation("LOCAL_RESPONSE_NORMALIZATION", i1, radius, bias, alpha, beta).To(output) variable
26 model = model.RelaxedExecution(True) variable
|
| max_pool_float_1_relaxed.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("MAX_POOL_2D", i1, pad0, pad0, pad0, pad0, cons1, cons1, cons1, cons1, act).To(i3) variable
25 model = model.RelaxedExecution(True) variable
|
| max_pool_float_4_relaxed.mod.py | 17 # model
18 model = Model() variable
24 model = model.Operation("MAX_POOL_2D", i1, pad_same, cons2, cons2, cons2, cons2, act_none).To(i3) variable
25 model = model.RelaxedExecution(True) variable
|
| strided_slice_float_10_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| strided_slice_float_11_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| strided_slice_float_1_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| strided_slice_float_2_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| strided_slice_float_3_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| strided_slice_float_4_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| strided_slice_float_5_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| strided_slice_float_6_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| strided_slice_float_7_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| strided_slice_float_8_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| strided_slice_float_9_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| strided_slice_relaxed.mod.py | 17 model = Model() variable
28 model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output) variable
29 model = model.RelaxedExecution(True) variable
|
| /frameworks/ml/nn/runtime/test/generated/models/ |
| avg_pool_float_2_relaxed.model.cpp | 2 void CreateModel(Model *model) {
7 auto i0 = model->addOperand(&type0);
8 auto stride = model->addOperand(&type1);
9 auto filter = model->addOperand(&type1);
10 auto padding = model->addOperand(&type1);
11 auto activation = model->addOperand(&type1);
12 auto output = model->addOperand(&type2);
15 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
17 model->setOperandValue(filter, filter_init, sizeof(int32_t) * 1)
[all...] |
| avg_pool_float_3_relaxed.model.cpp | 2 void CreateModel(Model *model) {
7 auto i0 = model->addOperand(&type0);
8 auto stride = model->addOperand(&type1);
9 auto filter = model->addOperand(&type1);
10 auto padding = model->addOperand(&type1);
11 auto activation = model->addOperand(&type1);
12 auto output = model->addOperand(&type2);
15 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
17 model->setOperandValue(filter, filter_init, sizeof(int32_t) * 1)
[all...] |
| avg_pool_float_4_relaxed.model.cpp | 2 void CreateModel(Model *model) {
7 auto i0 = model->addOperand(&type0);
8 auto stride = model->addOperand(&type1);
9 auto filter = model->addOperand(&type1);
10 auto padding = model->addOperand(&type1);
11 auto relu6_activation = model->addOperand(&type1);
12 auto output = model->addOperand(&type2);
15 model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
17 model->setOperandValue(filter, filter_init, sizeof(int32_t) * 1)
[all...] |
| conv_float_channels_weights_as_inputs_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type0);
17 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1)
[all...] |
| conv_float_large_weights_as_inputs_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type0);
17 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1)
[all...] |
| conv_float_weights_as_inputs_relaxed.model.cpp | 2 void CreateModel(Model *model) {
8 auto op1 = model->addOperand(&type0);
9 auto op2 = model->addOperand(&type1);
10 auto op3 = model->addOperand(&type2);
11 auto pad0 = model->addOperand(&type3);
12 auto act = model->addOperand(&type3);
13 auto stride = model->addOperand(&type3);
14 auto op4 = model->addOperand(&type1);
17 model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1)
[all...] |
| local_response_norm_float_1_relaxed.model.cpp | 2 void CreateModel(Model *model) {
7 auto input = model->addOperand(&type0);
8 auto radius = model->addOperand(&type1);
9 auto bias = model->addOperand(&type2);
10 auto alpha = model->addOperand(&type2);
11 auto beta = model->addOperand(&type2);
12 auto output = model->addOperand(&type0);
15 model->setOperandValue(radius, radius_init, sizeof(int32_t) * 1);
17 model->setOperandValue(bias, bias_init, sizeof(float) * 1)
[all...] |
| local_response_norm_float_2_relaxed.model.cpp | 2 void CreateModel(Model *model) {
7 auto input = model->addOperand(&type0);
8 auto radius = model->addOperand(&type1);
9 auto bias = model->addOperand(&type2);
10 auto alpha = model->addOperand(&type2);
11 auto beta = model->addOperand(&type2);
12 auto output = model->addOperand(&type0);
15 model->setOperandValue(radius, radius_init, sizeof(int32_t) * 1);
17 model->setOperandValue(bias, bias_init, sizeof(float) * 1)
[all...] |
