masahi commented on code in PR #11935:
URL: https://github.com/apache/tvm/pull/11935#discussion_r909197431
##########
python/tvm/relay/frontend/pytorch.py:
##########
@@ -867,6 +867,34 @@ def log_sigmoid(self, inputs, input_types):
data = inputs[0]
return _op.log(_op.tensor.sigmoid(data))
+ def cross_entropy_loss_with_logits(self, inputs, input_types):
+ input = inputs[0]
+ target = inputs[1]
+ weights = inputs[2]
+ reduction = inputs[3]
+ ignore_index = inputs[4]
+ label_smoothing = inputs[5]
+ input_shape = self.infer_shape(input)
+ target_shape = self.infer_shape(target)
+ if input_shape != target_shape:
+ if reduction == 0:
+ reduction = "none"
+ elif reduction == 1:
+ reduction = "mean"
+ else:
+ reduction = "sum"
+ num_class = self.infer_shape(input)[1]
+ if weights is None:
+ weights = _op.full(_expr.const(1), (num_class,),
dtype=input_types[0])
+ return _op.nn.nll_loss(
+ _op.nn.log_softmax(input), target, weights, reduction,
ignore_index
+ )
+ assert reduction == 1, "reduction not supported in cross_entropy_loss"
+ assert ignore_index == -100, "reduce not supported in
cross_entropy_loss"
Review Comment:
the typo is back
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