kevinthesun commented on a change in pull request #5306: [Torch] Support Python
list, more realistic recurrent networks
URL: https://github.com/apache/incubator-tvm/pull/5306#discussion_r407287501
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File path: python/tvm/relay/frontend/pytorch.py
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@@ -103,11 +178,27 @@ def _impl(inputs, input_types):
return _op.transform.expand_dims(data, int(axis), 1)
return _impl
-def _concatenate():
+
+def _concatenate(prelude):
+ def tensor_array_concat(lst, axis):
+ assert axis == 0, "Tensor array concat supported only for axis 0"
+ tensor_array, shape = _convert_to_tensor_array(lst, prelude)
+ concat_shape = (Any(),) + shape[1:]
+ static_tensor_array_ops = StaticTensorArrayOps(prelude, "float32",
shape)
+ static_tensor_array_ops.define_tensor_get_data(concat_shape)
+
+ concat = prelude.get_var_static('tensor_array_concat', "float32",
concat_shape)
+ concatenated = concat(tensor_array)
+ get_tensor = prelude.get_var_static('tensor_get_data', "float32",
concat_shape)
Review comment:
Same.
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