Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[FRONTEND][Mxnet][nuymp] Adding _npi_advanced_indexing_multiple #7230

Closed
wants to merge 3 commits into from
Closed

[FRONTEND][Mxnet][nuymp] Adding _npi_advanced_indexing_multiple #7230

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
0476ea8
Added _npi_advanced_indexing_multiple
insop Jan 7, 2021
6991f93
Add test case for _npi_advanced_indexing_multiple
insop Jan 8, 2021
4c763cd
updated based on the PR discussion
insop Jan 12, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
6 changes: 6 additions & 0 deletions python/tvm/relay/frontend/mxnet.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2342,6 +2342,11 @@ def _mx_npi_stack(inputs, attrs):
else:
return _op.stack(tuple(inputs), axis=int(axis))

def mx_npi_advanced_indexing_multiple(inputs, attrs):
assert len(inputs) == 2
data = inputs[0]
indices = inputs[1]
return _op.adv_index([data] + indices)

def _mx_npx_reshape(inputs, attrs):
shape = attrs.get_int_tuple("newshape")
Expand Down Expand Up @@ -2709,6 +2714,7 @@ def _mx_npi_where_rscalar(inputs, attrs):
"_npi_tanh": _rename(_op.tanh),
"_npi_true_divide_scalar": _binop_scalar(_op.divide),
"_npi_stack": _mx_npi_stack,
"_npi_advanced_indexing_multiple": mx_npi_advanced_indexing_multiple,
}

# set identity list
Expand Down
37 changes: 37 additions & 0 deletions tests/python/frontend/mxnet/test_forward.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1935,6 +1935,43 @@ def verify(data_shape, axis, use_length, length):
verify((2, 3, 4), 2, True, np.array([[3, 4, 2], [1, 2, 1]]).astype("int32"))


@pytest.mark.parametrize(
"data_shape, row_sel, col",
[
(
(5, 7),
(
0,
1,
2,
3,
4,
),
2,
),
],
)
@pytest.mark.parametrize("dtype", ["float64", "float32"])
@tvm.testing.parametrize_targets
@pytest.mark.parametrize("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)
ref_res = mx.np.array(data_np)[row_sel, col]

row_sel_sym = mx.sym.var("row_sel").as_np_ndarray()
data_sym = mx.sym.var("data").as_np_ndarray()
col_sym = mx.sym.var("col").as_np_ndarray()
mx_sym = data_sym[row_sel_sym, col_sym]

mod, _ = relay.frontend.from_mxnet(
mx_sym, shape={"data": data_shape, "row_sel": row_sel, "col": col}, dtype=dtype
)
intrp = relay.create_executor(kind, mod=mod, ctx=ctx, target=target)
op_res = intrp.evaluate()(data_np)
tvm.testing.assert_allclose(op_res.asnumpy(), ref_res.asnumpy(), rtol=1e-5)
tvm.testing.assert_allclose(ref_res.asnumpy(), ref_res.asnumpy(), rtol=1e-5)


@pytest.mark.skipif(not hasattr(mx.sym.np, "pad"), reason="mx.sym.np.pad hasn't been publish yet")
@pytest.mark.parametrize(
"data_shape, pad_width",
Expand Down