u99127 commented on a change in pull request #4822: [Frontend][TFLite] Add
MIRROR_PAD operator
URL: https://github.com/apache/incubator-tvm/pull/4822#discussion_r375518286
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File path: python/tvm/relay/frontend/tflite.py
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@@ -1422,10 +1423,48 @@ def convert_pad(self, op):
# convert list of lists to tuple of tuples
paddings = tuple(tuple(l) for l in pad_list)
- # Use default pad_value 0 because TFLite does not support
constant_values parameter
+ # Use default pad_value 0 because TFLite PAD does not support
constant_values parameter
out = _op.nn.pad(in_expr, paddings)
return out
+ def convert_mirror_pad(self, op):
+ """Convert TFLite MIRROR_PAD"""
+ try:
+ from tflite.Operator import Operator
+ from tflite.BuiltinOptions import BuiltinOptions
+ from tflite.MirrorPadOptions import MirrorPadOptions
+ except ImportError:
+ raise ImportError("The tflite package must be installed")
+
+ # the quantized form MirrorPad is not yet implemented in TFLite.
+ if self.is_quantized(op):
+ raise tvm.error.OpNotImplemented(
+ 'TFlite quantized MIRROR_PAD operator is not supported yet.')
Review comment:
Pedantry : A not implemented error suggests to me as a user that the support
exists in the tflite tooling but the TVM stack has not yet implemented the
support i.e. the tflite tooling can't yet produce the mirror_pad operation, do
we need a different notification here actually asking the user to report an
issue asking for a feature to be added ?
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