<p>
Like arrays, slices are always one-dimensional but may be composed to construct
higher-dimensional objects.
With arrays of arrays, the inner arrays are, by construction, always the same length;
however with slices of slices (or arrays of slices), the inner lengths may vary dynamically.
Moreover, the inner slices must be initialized individually.
</p>

<h3 id="Struct_types">Struct types</h3>

<p>

:]) return h.outer.Sum(in[:origLen]) } func (h *HMAC) Write(p []byte) (n int, err error) { return h.inner.Write(p) } func (h *HMAC) Size() int { return h.outer.Size() } func (h *HMAC) BlockSize() int { return h.inner.BlockSize() } func (h *HMAC) Reset() { if h.marshaled { if err := h.inner.(marshalable).UnmarshalBinary(h.ipad); err != nil { panic(err) } return } h.inner.Reset() h.inner.Write(h.ipad) // If the underlying hash is marshalable, we can save some time by saving a // copy of the hash state...

  CHECK_EQ(TF_OK, TF_GetCode(status_)) << TF_Message(status_);

  // Infer shape when everything is known.
  CheckOutputShapes(matmul_op,
                    /*input_shapes*/ {make_shape({3, 2}), make_shape({2, 4})},
                    /*input_tensors*/ {},
                    /*expected_shape*/ make_shape({3, 4}));

  // Infer shape when second operand has unknown shape.
  CheckOutputShapes(matmul_op,

pkg runtime, method (*PanicNilError) Error() string #25448
pkg runtime, method (*PanicNilError) RuntimeError() #25448
pkg runtime, method (*Pinner) Pin(interface{}) #46787
pkg runtime, method (*Pinner) Unpin() #46787
pkg runtime, type PanicNilError struct #25448
pkg runtime, type Pinner struct #46787
pkg slices, func BinarySearch[$0 interface{ ~[]$1 }, $1 cmp.Ordered]($0, $1) (int, bool) #60091

unless the memory it points to is pinned with [runtime.Pinner] and the
Pinner is not unpinned while the Go pointer is stored in C memory.
This implies that C code may not keep a copy of a string, slice,
channel, and so forth, because they cannot be pinned with
[runtime.Pinner].

The _GoString_ type also may not be pinned with [runtime.Pinner].
Because it includes a Go pointer, the memory it points to is only pinned

TF_CAPI_EXPORT extern void TF_DeleteShapeAndTypeList(
    TF_ShapeAndTypeList* shape_list);
TF_CAPI_EXPORT extern void TF_DeleteShapeAndTypeListArray(
    TF_ShapeAndTypeList** shape_list_array, int num_items);

// Infer shapes for the given `op`. The arguments mimic the arguments of the
// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is

        `element_spec` argument of `tf.data.experimental.load` when loading the
        previously saved dataset.
    *   Add `.element_spec` property to `tf.data.DatasetSpec` to access the
        inner spec. This can be used to extract the structure of nested
        datasets.
    *   Add `tf.data.experimental.AutoShardingPolicy.HINT` which can be used to