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@@ -3159,8 +3159,6 @@ void init_ops(nb::module_& m) {
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R"pbdoc(
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1D convolution over an input with several channels
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Note: Only the default ``groups=1`` is currently supported.
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Args:
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input (array): input array of shape (``N``, ``H``, ``C_in``)
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weight (array): weight array of shape (``C_out``, ``H``, ``C_in``)
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@@ -3219,8 +3217,6 @@ void init_ops(nb::module_& m) {
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R"pbdoc(
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2D convolution over an input with several channels
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Note: Only the default ``groups=1`` is currently supported.
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Args:
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input (array): input array of shape ``(N, H, W, C_in)``
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weight (array): weight array of shape ``(C_out, H, W, C_in)``
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@@ -3390,11 +3386,6 @@ void init_ops(nb::module_& m) {
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R"pbdoc(
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General convolution over an input with several channels
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.. note::
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* Only 1d and 2d convolutions are supported at the moment
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* the default ``groups=1`` is currently supported.
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Args:
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input (array): Input array of shape ``(N, ..., C_in)``
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weight (array): Weight array of shape ``(C_out, ..., C_in)``
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@@ -4356,4 +4347,32 @@ void init_ops(nb::module_& m) {
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Returns:
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array: The bitwise right shift ``a >> b``.
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)pbdoc");
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m.def(
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"view",
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[](const ScalarOrArray& a, const Dtype& dtype, StreamOrDevice s) {
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return view(to_array(a), dtype, s);
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},
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nb::arg(),
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"dtype"_a,
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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 view(a: Union[scalar, array], dtype: Dtype, stream: Union[None, Stream, Device] = None) -> array"),
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R"pbdoc(
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View the array as a different type.
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The output shape changes along the last axis if the input array's
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type and the input ``dtype`` do not have the same size.
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Note: the view op does not imply that the input and output arrays share
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their underlying data. The view only gaurantees that the binary
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representation of each element (or group of elements) is the same.
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Args:
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a (array): Input array or scalar.
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dtype (Dtype): The data type to change to.
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Returns:
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array: The array with the new type.
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)pbdoc");
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}
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