zhiics commented on a change in pull request #6318:
URL: https://github.com/apache/incubator-tvm/pull/6318#discussion_r475003463
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File path: python/tvm/relay/frontend/pytorch.py
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@@ -1755,6 +1757,50 @@ def _impl(inputs, input_types):
return _impl
+def _index():
+ def _impl(inputs, input_types):
+ data = inputs[0]
+ indices = []
+ raw_indices = []
+ max_indices_len = -1
+ for index in inputs[1]:
+ if not isinstance(index, _expr.Constant):
+ try:
+ index = _expr.const(_infer_value(index, {}))
+ except Exception:
+ raise RuntimeError("Only supports constant indices for "
+ "pytorch advanced indexing ")
+ raw_indices.append(index)
+ cindex_len = index.data.shape[0]
+ if cindex_len > max_indices_len:
+ max_indices_len = cindex_len
+
+ for index in raw_indices:
+ cnp = index.data.asnumpy()
+ cindex_len = cnp.shape[0]
+ if cindex_len < max_indices_len:
+ cnp = np.tile(cnp, max_indices_len // cindex_len)
+ indices.append(cnp)
+
+ ret = []
+ slice_map = {}
+ for i in range(indices[0].shape[0]):
+ tmp = data
+ current_indices = []
+ for index in indices:
+ current_indices.append(index[i])
+ index_key = tuple(current_indices)
+ if index_key in slice_map:
+ tmp = slice_map[index_key]
+ else:
+ tmp = _op.take(tmp, _expr.const(index[i]), axis=0)
Review comment:
I am okay with this for now. We can implement a topi op if when perf is
not good.
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