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[PIR AMP]Skip dtype check for concat in amp mode #67704

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merged 1 commit into from
Aug 26, 2024
Merged

[PIR AMP]Skip dtype check for concat in amp mode #67704

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13 changes: 12 additions & 1 deletion python/paddle/tensor/manipulation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1374,6 +1374,17 @@ def concat(
input = [t for t in input if t.shape.count(0) == 0]
return _C_ops.concat(input, axis)
elif in_pir_mode():

def is_in_amp_mode():
amp_attrs = core._get_amp_attrs()
amp_level = amp_attrs._amp_level
apply_amp_level_list = [
core.AmpLevel.O1,
core.AmpLevel.O2,
]
return amp_level in apply_amp_level_list

is_in_amp = is_in_amp_mode()
check_type(input, 'input', (list, tuple, paddle.pir.Value), 'concat')
if not isinstance(input, paddle.pir.Value):
for id, x in enumerate(input):
Expand All @@ -1397,7 +1408,7 @@ def concat(
],
'concat',
)
if x.dtype != input[0].dtype:
if (not is_in_amp) and x.dtype != input[0].dtype:
raise TypeError(
"All the Tensors in the input must have the same data type."
)
Expand Down