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Merged
Open-Deep-ML merged 1 commit into from
Sep 15, 2025
Merged

Update solution.py #541

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6 changes: 2 additions & 4 deletions questions/160_mixed_precision_training/solution.py
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Original file line number Diff line number Diff line change
@@ -1,6 +1,5 @@
import numpy as np


class MixedPrecision:
def __init__(self, loss_scale=1024.0):
self.loss_scale = loss_scale
Expand All @@ -15,9 +14,8 @@ def forward(self, weights, inputs, targets):
predictions = np.dot(inputs_fp16, weights_fp16)
loss = np.mean((targets_fp16 - predictions) ** 2)

# Scale loss and convert back to float32
scaled_loss = loss.astype(np.float32) * self.loss_scale

# Scale loss and convert back to float32 (Python float)
scaled_loss = float(loss) * self.loss_scale
return scaled_loss

def backward(self, gradients):
Expand Down