fix ci with f
MODIFY
tinygrad/ops/ops_gpu.py
tinygrad/ops/ops_gpu.py
@@ -104,7 +104,7 @@ class Pow(Function):
def backward(ctx, grad_output):
x,y = ctx.saved_tensors
tmp = Buffer(grad_output.shape)
- grad_x = unbroadcast(binary_op('a*b', grad_output, binary_op('b * pow(a, b-1.0)', x, y, tmp), tmp), x.shape) if ctx.needs_input_grad[0] else None
+ grad_x = unbroadcast(binary_op('a*b', grad_output, binary_op('b * pow(a, b-1.0f)', x, y, tmp), tmp), x.shape) if ctx.needs_input_grad[0] else None
grad_y = unbroadcast(binary_op('a*b', grad_output, binary_op('log(a) * pow(a, b)', x, y, tmp), tmp), y.shape) if ctx.needs_input_grad[1] else None
return grad_x, grad_y

fix ci with f