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+#Class tensorflow::TensorShape
+
+Manages the dimensions of a Tensor and their sizes.
+
+
+
+##Member Summary
+
+* [tensorflow::TensorShape::TensorShape](#tensorflow_TensorShape_TensorShape)
+  * Construct a TensorShape from the provided sizes.. REQUIRES: dim_sizes[i] >= 0.
+* [tensorflow::TensorShape::TensorShape](#tensorflow_TensorShape_TensorShape)
+* [tensorflow::TensorShape::TensorShape](#tensorflow_TensorShape_TensorShape)
+  * REQUIRES: IsValid(proto)
+* [tensorflow::TensorShape::TensorShape](#tensorflow_TensorShape_TensorShape)
+* [void tensorflow::TensorShape::Clear](#void_tensorflow_TensorShape_Clear)
+  * Clear a tensor shape.
+* [void tensorflow::TensorShape::AddDim](#void_tensorflow_TensorShape_AddDim)
+  * Add a dimension to the end ("inner-most"). REQUIRES: size >= 0.
+* [void tensorflow::TensorShape::AppendShape](#void_tensorflow_TensorShape_AppendShape)
+  * Appends all the dimensions from shape.
+* [void tensorflow::TensorShape::InsertDim](#void_tensorflow_TensorShape_InsertDim)
+  * Insert a dimension somewhere in the TensorShape . REQUIRES: "0 <= d <= dims()" REQUIRES: size >= 0.
+* [void tensorflow::TensorShape::set_dim](#void_tensorflow_TensorShape_set_dim)
+  * Modifies the size of the dimension 'd' to be 'size' REQUIRES: "0 <= d < dims()" REQUIRES: size >= 0.
+* [void tensorflow::TensorShape::RemoveDim](#void_tensorflow_TensorShape_RemoveDim)
+  * Removes dimension 'd' from the TensorShape . REQUIRES: "0 <= d < dims()".
+* [int tensorflow::TensorShape::dims](#int_tensorflow_TensorShape_dims)
+  * Return the number of dimensions in the tensor.
+* [int64 tensorflow::TensorShape::dim_size](#int64_tensorflow_TensorShape_dim_size)
+  * Returns the number of elements in dimension "d". REQUIRES: "0 <= d < dims()".
+* [gtl::ArraySlice<int64> tensorflow::TensorShape::dim_sizes](#gtl_ArraySlice_lt_int64_gt_tensorflow_TensorShape_dim_sizes)
+  * Returns sizes of all dimensions.
+* [int64 tensorflow::TensorShape::num_elements](#int64_tensorflow_TensorShape_num_elements)
+  * Returns the number of elements in the tensor.
+* [bool tensorflow::TensorShape::IsSameSize](#bool_tensorflow_TensorShape_IsSameSize)
+  * Returns true if *this and b have the same sizes. Ignores dimension names.
+* [bool tensorflow::TensorShape::operator==](#bool_tensorflow_TensorShape_operator_)
+* [void tensorflow::TensorShape::AsProto](#void_tensorflow_TensorShape_AsProto)
+  * Fill *proto from *this.
+* [Eigen::DSizes< Eigen::DenseIndex, NDIMS > tensorflow::TensorShape::AsEigenDSizes](#Eigen_DSizes_lt_Eigen_DenseIndex_NDIMS_gt_tensorflow_TensorShape_AsEigenDSizes)
+  * Fill *dsizes from *this.
+* [Eigen::DSizes< Eigen::DenseIndex, NDIMS > tensorflow::TensorShape::AsEigenDSizesWithPadding](#Eigen_DSizes_lt_Eigen_DenseIndex_NDIMS_gt_tensorflow_TensorShape_AsEigenDSizesWithPadding)
+* [TensorShapeIter tensorflow::TensorShape::begin](#TensorShapeIter_tensorflow_TensorShape_begin)
+  * For iterating through the dimensions.
+* [TensorShapeIter tensorflow::TensorShape::end](#TensorShapeIter_tensorflow_TensorShape_end)
+* [string tensorflow::TensorShape::DebugString](#string_tensorflow_TensorShape_DebugString)
+  * For error messages.
+* [string tensorflow::TensorShape::ShortDebugString](#string_tensorflow_TensorShape_ShortDebugString)
+* [static bool tensorflow::TensorShape::IsValid](#static_bool_tensorflow_TensorShape_IsValid)
+  * Returns true iff "proto" is a valid tensor shape.
+
+##Member Details
+
+#### tensorflow::TensorShape::TensorShape(gtl::ArraySlice< int64 > dim_sizes) {#tensorflow_TensorShape_TensorShape}
+
+Construct a TensorShape from the provided sizes.. REQUIRES: dim_sizes[i] >= 0.
+
+
+
+#### tensorflow::TensorShape::TensorShape(std::initializer_list< int64 > dim_sizes) {#tensorflow_TensorShape_TensorShape}
+
+
+
+
+
+#### tensorflow::TensorShape::TensorShape(const TensorShapeProto &proto) {#tensorflow_TensorShape_TensorShape}
+
+REQUIRES: IsValid(proto)
+
+
+
+#### tensorflow::TensorShape::TensorShape() {#tensorflow_TensorShape_TensorShape}
+
+
+
+Create a tensor shape with no dimensions and one element, which you can then call AddDim() on.
+
+#### void tensorflow::TensorShape::Clear() {#void_tensorflow_TensorShape_Clear}
+
+Clear a tensor shape.
+
+
+
+#### void tensorflow::TensorShape::AddDim(int64 size) {#void_tensorflow_TensorShape_AddDim}
+
+Add a dimension to the end ("inner-most"). REQUIRES: size >= 0.
+
+
+
+#### void tensorflow::TensorShape::AppendShape(const TensorShape &shape) {#void_tensorflow_TensorShape_AppendShape}
+
+Appends all the dimensions from shape.
+
+
+
+#### void tensorflow::TensorShape::InsertDim(int d, int64 size) {#void_tensorflow_TensorShape_InsertDim}
+
+Insert a dimension somewhere in the TensorShape . REQUIRES: "0 <= d <= dims()" REQUIRES: size >= 0.
+
+
+
+#### void tensorflow::TensorShape::set_dim(int d, int64 size) {#void_tensorflow_TensorShape_set_dim}
+
+Modifies the size of the dimension 'd' to be 'size' REQUIRES: "0 <= d < dims()" REQUIRES: size >= 0.
+
+
+
+#### void tensorflow::TensorShape::RemoveDim(int d) {#void_tensorflow_TensorShape_RemoveDim}
+
+Removes dimension 'd' from the TensorShape . REQUIRES: "0 <= d < dims()".
+
+
+
+#### int tensorflow::TensorShape::dims() const {#int_tensorflow_TensorShape_dims}
+
+Return the number of dimensions in the tensor.
+
+
+
+#### int64 tensorflow::TensorShape::dim_size(int d) const {#int64_tensorflow_TensorShape_dim_size}
+
+Returns the number of elements in dimension "d". REQUIRES: "0 <= d < dims()".
+
+
+
+#### gtl::ArraySlice<int64> tensorflow::TensorShape::dim_sizes() const {#gtl_ArraySlice_lt_int64_gt_tensorflow_TensorShape_dim_sizes}
+
+Returns sizes of all dimensions.
+
+
+
+#### int64 tensorflow::TensorShape::num_elements() const {#int64_tensorflow_TensorShape_num_elements}
+
+Returns the number of elements in the tensor.
+
+We use int64 and not size_t to be compatible with Eigen::Tensor which uses ptr_fi
+
+#### bool tensorflow::TensorShape::IsSameSize(const TensorShape &b) const {#bool_tensorflow_TensorShape_IsSameSize}
+
+Returns true if *this and b have the same sizes. Ignores dimension names.
+
+
+
+#### bool tensorflow::TensorShape::operator==(const TensorShape &b) const {#bool_tensorflow_TensorShape_operator_}
+
+
+
+
+
+#### void tensorflow::TensorShape::AsProto(TensorShapeProto *proto) const {#void_tensorflow_TensorShape_AsProto}
+
+Fill *proto from *this.
+
+
+
+#### Eigen::DSizes< Eigen::DenseIndex, NDIMS > tensorflow::TensorShape::AsEigenDSizes() const {#Eigen_DSizes_lt_Eigen_DenseIndex_NDIMS_gt_tensorflow_TensorShape_AsEigenDSizes}
+
+Fill *dsizes from *this.
+
+
+
+#### Eigen::DSizes< Eigen::DenseIndex, NDIMS > tensorflow::TensorShape::AsEigenDSizesWithPadding() const {#Eigen_DSizes_lt_Eigen_DenseIndex_NDIMS_gt_tensorflow_TensorShape_AsEigenDSizesWithPadding}
+
+
+
+Same as AsEigenDSizes() but allows for NDIMS > dims()  in which case we pad the rest of the sizes with 1.
+
+#### TensorShapeIter tensorflow::TensorShape::begin() const {#TensorShapeIter_tensorflow_TensorShape_begin}
+
+For iterating through the dimensions.
+
+
+
+#### TensorShapeIter tensorflow::TensorShape::end() const {#TensorShapeIter_tensorflow_TensorShape_end}
+
+
+
+
+
+#### string tensorflow::TensorShape::DebugString() const {#string_tensorflow_TensorShape_DebugString}
+
+For error messages.
+
+
+
+#### string tensorflow::TensorShape::ShortDebugString() const {#string_tensorflow_TensorShape_ShortDebugString}
+
+
+
+
+
+#### static bool tensorflow::TensorShape::IsValid(const TensorShapeProto &proto) {#static_bool_tensorflow_TensorShape_IsValid}
+
+Returns true iff "proto" is a valid tensor shape.
+
+