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https://github.com/ml-explore/mlx.git
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Add "edge" mode to mx.pad (#1309)
* Add edge padding mode * fix pad in pooling * string arg instead of enum
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@@ -101,7 +101,11 @@ class _Pool(Module):
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def __call__(self, x):
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if any(p[0] > 0 for p in self._padding):
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x = mx.pad(x, [(0, 0)] + self._padding + [(0, 0)], self._padding_value)
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x = mx.pad(
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x,
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[(0, 0)] + self._padding + [(0, 0)],
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constant_values=self._padding_value,
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)
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x = _sliding_windows(x, self._kernel_size, self._stride)
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return self._pooling_function(x, self._axes)
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@@ -2843,30 +2843,32 @@ void init_ops(nb::module_& m) {
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std::tuple<int>,
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std::pair<int, int>,
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std::vector<std::pair<int, int>>>& pad_width,
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const std::string mode,
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const ScalarOrArray& constant_value,
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StreamOrDevice s) {
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if (auto pv = std::get_if<int>(&pad_width); pv) {
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return pad(a, *pv, to_array(constant_value), s);
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return pad(a, *pv, to_array(constant_value), mode, s);
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} else if (auto pv = std::get_if<std::tuple<int>>(&pad_width); pv) {
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return pad(a, std::get<0>(*pv), to_array(constant_value), s);
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return pad(a, std::get<0>(*pv), to_array(constant_value), mode, s);
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} else if (auto pv = std::get_if<std::pair<int, int>>(&pad_width); pv) {
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return pad(a, *pv, to_array(constant_value), s);
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return pad(a, *pv, to_array(constant_value), mode, s);
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} else {
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auto v = std::get<std::vector<std::pair<int, int>>>(pad_width);
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if (v.size() == 1) {
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return pad(a, v[0], to_array(constant_value), s);
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return pad(a, v[0], to_array(constant_value), mode, s);
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} else {
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return pad(a, v, to_array(constant_value), s);
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return pad(a, v, to_array(constant_value), mode, s);
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}
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}
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},
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nb::arg(),
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"pad_width"_a,
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"mode"_a = "constant",
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"constant_values"_a = 0,
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nb::kw_only(),
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"stream"_a = nb::none(),
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nb::sig(
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"def pad(a: array, pad_width: Union[int, Tuple[int], Tuple[int, int], List[Tuple[int, int]]], constant_values: Union[scalar, array] = 0, *, stream: Union[None, Stream, Device] = None) -> array"),
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"def pad(a: array, pad_width: Union[int, Tuple[int], Tuple[int, int], List[Tuple[int, int]]], mode: Literal['constant', 'edge'] = 'constant', constant_values: Union[scalar, array] = 0, *, stream: Union[None, Stream, Device] = None) -> array"),
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R"pbdoc(
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Pad an array with a constant value
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@@ -2878,6 +2880,9 @@ void init_ops(nb::module_& m) {
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of integers is passed then ``(before_i, after_i)`` are all the same.
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If a single integer or tuple with a single integer is passed then
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all axes are extended by the same number on each side.
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mode: Padding mode. One of the following strings:
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"constant" (default): Pads with a constant value.
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"edge": Pads with the edge values of array.
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constant_value (array or scalar, optional): Optional constant value
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to pad the edges of the array with.
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@@ -3155,7 +3160,8 @@ void init_ops(nb::module_& m) {
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} else { // Even sizes use asymmetric padding
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int pad_l = wt.size() / 2;
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int pad_r = std::max(0, pad_l - 1);
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in = pad(in, {{0, 0}, {pad_l, pad_r}, {0, 0}}, array(0), s);
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in = pad(
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in, {{0, 0}, {pad_l, pad_r}, {0, 0}}, array(0), "constant", s);
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}
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} else {
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@@ -1623,6 +1623,12 @@ class TestOps(mlx_tests.MLXTestCase):
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self.assertEqual(list(b_npy.shape), list(b_mlx.shape))
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self.assertTrue(np.allclose(b_npy, b_mlx, atol=1e-6))
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b_npy = np.pad(a_npy, pw, mode="edge")
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b_mlx = mx.pad(a_mlx, pw, mode="edge")
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self.assertEqual(list(b_npy.shape), list(b_mlx.shape))
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self.assertTrue(np.allclose(b_npy, b_mlx, atol=1e-6))
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a = mx.zeros((1, 1, 1))
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self.assertEqual(mx.pad(a, 1).shape, (3, 3, 3))
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self.assertEqual(mx.pad(a, (1,)).shape, (3, 3, 3))
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