| 46 | struct CastOps : public NodeOps |
| 47 | { |
| 48 | bool Run(Node* node) |
| 49 | { |
| 50 | Tensor* input_tensor = node->GetInputTensor(0); |
| 51 | Tensor* output_tensor = node->GetOutputTensor(0); |
| 52 | Cast* Cast_op = dynamic_cast<Cast*>(node->GetOp()); |
| 53 | CastParam* param_ = Cast_op->GetParam(); |
| 54 | int type_from = param_->type_from; |
| 55 | int type_to = param_->type_to; |
| 56 | |
| 57 | int elem_num = input_tensor->GetShape().GetSize(); |
| 58 | |
| 59 | if (type_from == 1 && type_to == 2) |
| 60 | { |
| 61 | float* data = ( float* )get_tensor_mem(input_tensor); |
| 62 | __fp16* out_data = ( __fp16* )get_tensor_mem(output_tensor); |
| 63 | #ifdef ANDROID |
| 64 | for(int i = 0; i < elem_num; i++) |
| 65 | { |
| 66 | out_data[i] = fp32_to_fp16(data[i]); |
| 67 | } |
| 68 | #else |
| 69 | for(int i = 0; i < (elem_num & -4); i += 4) |
| 70 | { |
| 71 | float32x4_t x = vld1q_f32(data+i); |
| 72 | float16x4_t _p = vcvt_f16_f32(x); |
| 73 | vst1_f16(out_data+i, _p); |
| 74 | } |
| 75 | for(int i = elem_num & ~3; i < elem_num; i++) |
| 76 | { |
| 77 | out_data[i] = fp32_to_fp16(data[i]); |
| 78 | } |
| 79 | #endif |
| 80 | } |
| 81 | |
| 82 | if (type_from == 2 && type_to == 1) |
| 83 | { |
| 84 | __fp16* data = ( __fp16* )get_tensor_mem(input_tensor); |
| 85 | float* out_data = ( float* )get_tensor_mem(output_tensor); |
| 86 | #ifdef ANDROID |
| 87 | for(int i = 0; i < elem_num; i++) |
| 88 | { |
| 89 | out_data[i] = fp16_to_fp32(data[i]); |
| 90 | } |
| 91 | #else |
| 92 | for(int i = 0; i < (elem_num & -4); i += 4) |
| 93 | { |
| 94 | float16x4_t x = vld1_f16(data+i); |
| 95 | float32x4_t _p = vcvt_f32_f16(x); |
| 96 | vst1q_f32(out_data+i, _p); |
| 97 | } |
| 98 | for(int i = elem_num & ~3; i < elem_num; i++) |
| 99 | { |
| 100 | out_data[i] = fp16_to_fp32(data[i]); |
| 101 | } |
| 102 | #endif |
| 103 | } |
| 104 | |
| 105 | return true; |
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