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Fix get_numpy_tensor for paddle.Tensor.__rpow__ #519

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Aug 13, 2025
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Fix get_numpy_tensor for paddle.Tensor.__rpow__ #519

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24 changes: 22 additions & 2 deletions tester/api_config/config_analyzer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1869,12 +1869,32 @@ def get_padding_offset(bsz, max_seq_len, seq_lens_this_time):
self.numpy_tensor = self.get_random_numpy_tensor(self.shape, self.dtype, min=-5, max=5)

elif api_config.api_name == "paddle.Tensor.__rpow__":
dtype = self.dtype
def get_max(value, dtype_max, default_max = 5):
value_max = default_max
if isinstance(other, (int, float, bool, complex, numpy.number)):
assert value > 0, "other should be > 0 for paddle.Tensor.__rpow__"
if value < 1:
# value**(-max) < MAX => (1/value)**max < MAX
value = 1/value
ln_value = math.log(value)
# dy/dx = y*ln(value) < MAX, y < MAX => y*max(ln(value), 1) < MAX
output_max = dtype_max/max(1, ln_value)
value_max = math.log(output_max)/ln_value
if isinstance(value, int):
value_max = math.floor(value_max)
return value_max

# paddle.Tensor.__rpow__(a, b) => b ^ a, where a is self and b is other
if self.check_arg(api_config, 0, "self"):
self.numpy_tensor = self.get_random_numpy_tensor(self.shape, self.dtype, min=-5, max=5)
other = self.get_arg(api_config, 1, "other")
value_max = get_max(other, numpy.finfo(self.dtype).max)
self.numpy_tensor = self.get_random_numpy_tensor(self.shape, self.dtype, min=-value_max, max=value_max)
else:
# self.check_arg(api_config, 1, "other"):
self.numpy_tensor = self.get_random_numpy_tensor(self.shape, self.dtype, min=-10, max=10)
self = self.get_arg(api_config, 0, "self")
value_max = get_max(other, numpy.finfo(self.dtype).max, 10)
self.numpy_tensor = self.get_random_numpy_tensor(self.shape, self.dtype, min=-value_max, max=value_max)

elif api_config.api_name == "paddle.nn.functional.sigmoid_focal_loss":
if self.check_arg(api_config, 1, "label"):
Expand Down