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[XPU]Fix the bug in the three-way comparison. #32

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[XPU]Fix the bug in the three-way comparison. #32

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6 changes: 3 additions & 3 deletions paddleapex/apex/utils/data_generate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -169,15 +169,15 @@ def gen_common_tensor(low_info, high_info, shape, data_dtype):
if math.isnan(high) or math.isnan(low) or math.isinf(high) or math.isinf(low):
tensor = generate_random_tensor(shape, 0, 1)
tensor = paddle.to_tensor(
tensor, dtype=eval(REAL_TYPE_PADDLE.get(data_dtype))
tensor, dtype=eval(REAL_TYPE_PADDLE.get("FP32"))
)
return tensor
else:
if len(shape) == 0:
shape = [1]
tensor = generate_random_tensor(shape, low, high).astype(numpy.float32)
tensor = paddle.to_tensor(
tensor, dtype=eval(REAL_TYPE_PADDLE.get(data_dtype))
tensor, dtype=eval(REAL_TYPE_PADDLE.get("FP32"))
)
return tensor
elif (
Expand Down Expand Up @@ -292,7 +292,7 @@ def rand_like(data, seed=1234):
if isinstance(data, paddle.Tensor):
if data.dtype.name in ["BF16", "FP16"]:
random_normals = numpy.random.randn(*data.shape)
x = paddle.to_tensor(random_normals, dtype=data.dtype)
x = paddle.to_tensor(random_normals, dtype='float32')
return x
elif data.dtype.name in ["FP32", "FP64"]:
random_normals = numpy.random.randn(*data.shape)
Expand Down