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[ascend] fix get_shared_zeros and use str op name in conversion #217

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[ascend] fix get_shared_zeros and use str op name in conversion #217

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8 changes: 4 additions & 4 deletions dlinfer/graph/dicp/vendor/AtbGraph/conversion.py
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Original file line number Diff line number Diff line change
Expand Up @@ -95,7 +95,7 @@ def __init__(self, gm):

@lru_cache
def get_shared_zeros(self, size, dtype):
return self.get_proxy(atb_op.Zeros, (size, dtype))
return self.aten_zeros_default(size, dtype)

def get_proxy(self, target, args, kwargs=immutable_dict()):
proxy = super().get_proxy(target, args, kwargs)
Expand Down Expand Up @@ -791,11 +791,11 @@ def aten_new_empty(self, x, size, pin_memory=False):
def aten_slice_scatter(self, x, data, dim=0, start=None, end=None, step=1):
return self.get_proxy(atb_op.SliceScatter, (x, data, dim, start, end, step))

@register_conversion(torch.ops.dlinfer.dynamic_quant.default)
@register_conversion("torch.ops.dlinfer.dynamic_quant.default")
def dlinfer_dynamic_quant(self, x, quant_dtype, quant_granularity):
return self.get_proxy(atb_op.AclNnDynamicQuant, (x, quant_dtype))

@register_conversion(torch.ops.dlinfer.linear_w8a8.default)
@register_conversion("torch.ops.dlinfer.linear_w8a8.default")
def dlinfer_linear_w8a8(
self, x, y, rms_scale, linear_scale, out_type, quant_dtype, bias
):
Expand Down Expand Up @@ -840,7 +840,7 @@ def aten_topk(self, x, k, dim=-1, largest=True, sorted=True):
assert largest == True
return self.get_proxy(atb_op.Sort, (x, k))

@register_conversion(torch.ops.dlinfer.transdata.default)
@register_conversion("torch.ops.dlinfer.transdata.default")
def dlinfer_transdata(self, x, transdata_type):
return self.get_proxy(atb_op.Transdata, (x, transdata_type))

Expand Down
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