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【AutoParallel】support cast op from FP32 to low precision #60385

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merged 2 commits into from
Jan 3, 2024
Merged

【AutoParallel】support cast op from FP32 to low precision #60385

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418fcef
support cast op from FP32 to low precision
heavyrain-lzy Dec 27, 2023
37e7ea5
Merge remote-tracking branch 'upstream/develop' into support_cast_h2l
heavyrain-lzy Jan 2, 2024
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5 changes: 5 additions & 0 deletions python/paddle/distributed/passes/auto_parallel_amp.py
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Original file line number Diff line number Diff line change
Expand Up @@ -232,6 +232,11 @@ def build_state(self):
return is_train

def _mark_black_white_ops(self, op, ops, block):
# deal auto_cast info
if not op.amp_options.enable:
self._op_fp16_dict[op.desc.original_id()] = False
return

# ernie inference trick
if op.type == "assign" and "array_" in op.input_arg_names[0]:
self._op_fp16_dict[op.desc.original_id()] = False
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16 changes: 16 additions & 0 deletions python/paddle/distributed/passes/auto_parallel_fp16.py
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Expand Up @@ -209,6 +209,9 @@ def _build_state(self):
for block in self.program.blocks:
self.resolute_tensor_dtype(block)

for block in self.program.blocks:
self.resolute_cast_op(block)

# insert cast ops
for block in self.program.blocks:
self.cast_block(block)
Expand Down Expand Up @@ -296,6 +299,19 @@ def set_var_to_fp16(self, var_name, block):
if var.dtype == core.VarDesc.VarType.FP32:
var.desc.set_dtype(__target_dtype__)

def resolute_cast_op(self, block):
"""
Deal the "cast_op" from "FP32" to "FP16" or "BF16" in the model.
"""
for op in block.ops:
if op.type == "cast":
in_name = op.input('X')[0]
out_name = op.output('Out')[0]
in_var = block._find_var_recursive(in_name)
out_var = block._find_var_recursive(out_name)
op._set_attr("in_dtype", in_var.dtype)
op._set_attr("out_dtype", out_var.dtype)

def resolute_tensor_dtype(self, block):
for op in block.ops:
# 'amp_options' flag has highest priority
Expand Down