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Wrap unsqueeze #1294

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Wrap unsqueeze #1294

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2 changes: 2 additions & 0 deletions k2/python/csrc/torch/v2/any.cu
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Original file line number Diff line number Diff line change
Expand Up @@ -353,6 +353,8 @@ void PybindRaggedAny(py::module &m) {
any.def("unique", &RaggedAny::Unique, py::arg("need_num_repeats") = false,
py::arg("need_new2old_indexes") = false, kRaggedAnyUniqueDoc);

any.def("unsqueeze", &RaggedAny::Unsqueeze, py::arg("axis"));

any.def("normalize", &RaggedAny::Normalize, py::arg("use_log"),
kRaggedAnyNormalizeDoc);

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8 changes: 8 additions & 0 deletions k2/python/csrc/torch/v2/ragged_any.cu
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Expand Up @@ -575,6 +575,14 @@ RaggedAny RaggedAny::Cat(const std::vector<RaggedAny> &srcs, int32_t axis) {
return {};
}

RaggedAny RaggedAny::Unsqueeze(int32_t axis) {
DeviceGuard guard(any.Context());
Dtype t = any.GetDtype();
FOR_REAL_AND_INT32_TYPES(t, T, {
return RaggedAny(k2::Unsqueeze(any.Specialize<T>(), axis).Generic());
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k2:: can be removed since it is inside the k2 namespace.

});
}

std::tuple<RaggedAny, torch::optional<RaggedAny>,
torch::optional<torch::Tensor>>
RaggedAny::Unique(bool need_num_repeats /*= false*/,
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2 changes: 2 additions & 0 deletions k2/python/csrc/torch/v2/ragged_any.h
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Expand Up @@ -264,6 +264,8 @@ struct RaggedAny {
torch::optional<torch::Tensor>>
Unique(bool need_num_repeats = false, bool need_new2old_indexes = false);

RaggedAny Unsqueeze(int32_t axis);

/// Wrapper for k2::NormalizePerSublist
RaggedAny Normalize(bool use_log) /*const*/;

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1 change: 1 addition & 0 deletions k2/python/k2/__init__.py
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Expand Up @@ -31,6 +31,7 @@

from .ragged import RaggedShape
from .ragged import RaggedTensor
from .ragged import create_ragged_shape2

from . import autograd
from . import autograd_utils
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