Buckets:
| using namespace neuroflow; | |
| int main() { | |
| std::cout << "Linear forward test..." << std::endl; | |
| Linear linear(64, 64, false); // use_bias = false | |
| std::cout << "weight shape: [" << linear.weight.shape_[0] << ", " << linear.weight.shape_[1] << "]" << std::endl; | |
| std::cout << "quantized: " << linear.quantized << std::endl; | |
| Tensor input({1, 64}); | |
| std::cout << "input shape: [" << input.shape_[0] << ", " << input.shape_[1] << "]" << std::endl; | |
| float* d = input.as_fp32(); | |
| for (size_t i = 0; i < input.numel(); ++i) d[i] = 0.1f * i; | |
| std::cout << "Calling linear.forward(input)..." << std::endl; | |
| Tensor output = linear.forward(input); | |
| std::cout << "output shape: [" << output.shape_[0] << ", " << output.shape_[1] << "]" << std::endl; | |
| std::cout << "Success!" << std::endl; | |
| return 0; | |
| } | |
Xet Storage Details
- Size:
- 969 Bytes
- Xet hash:
- 40a05d733c6daa0aa6e8e04eebc1ab9034d804f8b37c08443b4b0294be5defda
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