| 24 | |
| 25 | namespace { |
| 26 | TinyNNStatus Init0( |
| 27 | Tensor** inputs, int nr_input, Tensor* out_weights, int* nr_out_weight, |
| 28 | const RuntimeOpt* opt) { |
| 29 | if (out_weights == NULL && nr_out_weight != NULL) { |
| 30 | *nr_out_weight = 1; |
| 31 | return TinyNN_SUCCESS; |
| 32 | } |
| 33 | Tensor* in_weights = inputs[0]; |
| 34 | if (out_weights != NULL && nr_out_weight == NULL) { |
| 35 | out_weights->layout.nr_dim = 2; |
| 36 | out_weights->layout.dims[0] = 5; |
| 37 | out_weights->layout.dims[1] = 2; |
| 38 | out_weights->layout.stride[0] = 1; |
| 39 | out_weights->layout.stride[1] = 5; |
| 40 | out_weights->dtype.type_enum = TinyNN_FLOAT; |
| 41 | out_weights->name = in_weights->name; |
| 42 | |
| 43 | return TinyNN_SUCCESS; |
| 44 | } |
| 45 | if (out_weights != NULL && nr_out_weight != NULL) { |
| 46 | float* data = (float*)out_weights->ptr; |
| 47 | for (int i = 0; i < 10; i++) { |
| 48 | data[i] = i; |
| 49 | } |
| 50 | } |
| 51 | return TinyNN_SUCCESS; |
| 52 | } |
| 53 | |
| 54 | TinyNNStatus Init1( |
| 55 | Tensor** inputs, int nr_input, Tensor* out_weights, int* nr_out_weight, |
nothing calls this directly
no outgoing calls
no test coverage detected