Adding the FTRL optimizer.#5785
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| if lr_power == -0.5: | ||
| y = (np.sqrt(new_accum) / lr) + (2 * l2) | ||
| pre_shrink = x / y | ||
| param_out = np.where(linear_out > l1, pre_shrink, 0) |
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I compared the result with the tensorflow, this part is wrong.
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Oh I see, yes the C++ code is correct and is same as Tensorflow. Let me check the python code again.
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I commented out the part for calculating param_out and even then, the computation of linear_out itself doesn't match the C++ output. I think it could be a precision error, I can try once with double.
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| namespace ops = paddle::operators; | ||
| REGISTER_OP_GPU_KERNEL(ftrl, | ||
| ops::FTRLOpKernel<paddle::platform::GPUPlace, float>); |
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The calculations here not sufficiently precise in float32. This is not a bug, but we need to consider support double, fp16.
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And the same with attribute types.
kavyasrinet
changed the title
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@dzhwinter I have updated the code to work and pass the test case now. |
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Adding the FTRL optimizer