sxjscience commented on a change in pull request #7230:
URL: https://github.com/apache/tvm/pull/7230#discussion_r555115290
##########
File path: tests/python/frontend/mxnet/test_forward.py
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@@ -1935,6 +1935,29 @@ def verify(data_shape, axis, use_length, length):
verify((2, 3, 4), 2, True, np.array([[3, 4, 2], [1, 2,
1]]).astype("int32"))
[email protected](
+ "data_shape, row_sel, col",
+ [
+ ((5, 7), (0, 1, 2, 3, 4,), 2),
+ ],
+)
[email protected]("dtype", ["float64", "float32"])
[email protected]_targets
[email protected]("kind", ["graph", "vm", "debug"])
+def test_forward_npi_advanced_indexing_multiple(data_shape, row_sel, col,
dtype, target, ctx, kind):
+ data_np = np.random.uniform(size=data_shape).astype(dtype)
+ data = mx.sym.var("data")
+ ref_res = mx.np.array(data_np)[row_sel, col]
+
+ # TODO need to add the proper symbol operator
+ mx_sym = mx.sym.np.(data.as_np_ndarray()[row_sel, col])
Review comment:
Is it possible to do the following?
```python
row_sel_sym = mx.sym.var('row_sel').as_np_ndarray()
col_sym = mx.sym.var('col').as_np_ndarray()
data_sym = mx.sym.var('data').as_np_ndarray()
mx_sym = data_sym[row_sel_sym, col_sym]
```
Then, you may pass `mx_sym` to the `relay.frontend.from_mxnet`.
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