def to_dag(C_in, gene, reduction):
"""generate discrete ops from gene"""
dag = nn.ModuleList()
for edges in gene:
row = nn.ModuleList()
for op_name, s_idx in edges:
stride = 2 if reduction and s_idx < 2 else 1
op = ops.OPS[op_name](C_in, stride, True)
if not isinstance(op, ops.Identity):
op = nn.Sequential(op, ops.DropPath_())
op.s_idx = s_idx
row.append(op)
dag.append(row)
return dag
def to_dag(C_in, gene, reduction, bn_affine=True):
""" generate discrete ops from gene """
dag = nn.ModuleList()
for edges in gene:
row = nn.ModuleList()
for op_name, s_idx in edges:
# reduction cell & from input nodes => stride = 2
stride = 2 if reduction and s_idx < 2 else 1
op = ops.OPS[op_name](C_in, stride, bn_affine)
if not isinstance(op,
ops.Identity): # Identity does not use drop path
op = nn.Sequential(op, ops.DropPath_())
op.s_idx = s_idx
row.append(op)
dag.append(row)
return dag
