| 27 | namespace TEngine { |
| 28 | |
| 29 | bool FullyConnected::InferShape(const std::vector<TEngine::TShape>& ishape, std::vector<TEngine::TShape>& oshape, |
| 30 | int layout) |
| 31 | { |
| 32 | const TShape& input = ishape[0]; |
| 33 | const TShape& weight = ishape[1]; |
| 34 | |
| 35 | std::vector<int> dim; |
| 36 | |
| 37 | int n = weight.Shape(0); |
| 38 | int k = weight.Shape(1); |
| 39 | |
| 40 | int m = input.Shape(0); |
| 41 | int input_k = input.Shape(1); |
| 42 | |
| 43 | if(input.GetDim().size() == 2) |
| 44 | { |
| 45 | dim = {m, n}; |
| 46 | } |
| 47 | else if(input.GetDim().size() == 3) |
| 48 | { |
| 49 | input_k *= input.Shape(2); |
| 50 | if(layout == TENGINE_LAYOUT_NHWC) |
| 51 | dim = {m, 1, n}; |
| 52 | else |
| 53 | dim = {m, n, 1}; |
| 54 | } |
| 55 | else if(input.GetDim().size() == 4) |
| 56 | { |
| 57 | input_k *= input.Shape(2) * input.Shape(3); |
| 58 | if(layout == TENGINE_LAYOUT_NHWC) |
| 59 | dim = {m, 1, 1, n}; |
| 60 | else |
| 61 | dim = {m, n, 1, 1}; |
| 62 | } |
| 63 | else |
| 64 | return false; |
| 65 | |
| 66 | if(k != input_k) |
| 67 | return false; |
| 68 | |
| 69 | TShape shape; |
| 70 | |
| 71 | shape.SetDim(dim); |
| 72 | shape.SetDataLayout(layout); |
| 73 | |
| 74 | oshape[0] = shape; |
| 75 | |
| 76 | return true; |
| 77 | } |
| 78 | |
| 79 | float FullyConnected::GetFops(const std::vector<TShape>& inputs, const std::vector<TShape>& outputs) |
| 80 | { |
nothing calls this directly
no test coverage detected