`class tensorflow::TensorShape`

Member Details

`uint8 tensorflow::TensorShape::buf[16][16]`

`Rep64* tensorflow::TensorShape::unused_aligner`

`tensorflow::TensorShape::TensorShape(gtl::ArraySlice< int64 > dim_sizes)`

Construct a TensorShape from the provided sizes. REQUIRES: dim_sizes[i] >= 0

`tensorflow::TensorShape::TensorShape(std::initializer_list< int64 > dim_sizes)`

`tensorflow::TensorShape::TensorShape(const TensorShapeProto &proto)`

REQUIRES: IsValid(proto)

`tensorflow::TensorShape::TensorShape()`

Create a tensor shape with no dimensions and one element, which you can then call AddDim() on.

`tensorflow::TensorShape::~TensorShape()`

`tensorflow::TensorShape::TensorShape(const TensorShape &b)`

Copy the specified shape.

`void tensorflow::TensorShape::operator=(const TensorShape &b)`

`void tensorflow::TensorShape::Clear()`

Clear a tensor shape.

`void tensorflow::TensorShape::AddDim(int64 size)`

Add a dimension to the end ("inner-most"). REQUIRES: size >= 0

`void tensorflow::TensorShape::AppendShape(const TensorShape &shape)`

Appends all the dimensions from shape.

`void tensorflow::TensorShape::InsertDim(int d, int64 size)`

Insert a dimension somewhere in the TensorShape. REQUIRES: 0 <= d <= dims() REQUIRES: size >= 0

`void tensorflow::TensorShape::set_dim(int d, int64 size)`

Modifies the size of the dimension d to be size REQUIRES: 0 <= d < dims() REQUIRES: size >= 0

`void tensorflow::TensorShape::RemoveDim(int d)`

Removes dimension d from the TensorShape. REQUIRES: 0 <= d < dims()

`int tensorflow::TensorShape::dims() const`

Return the number of dimensions in the tensor.

`int64 tensorflow::TensorShape::dim_size(int d) const`

Returns the number of elements in dimension d. REQUIRES: 0 <= d < dims()

`gtl::InlinedVector< int64, 4 > tensorflow::TensorShape::dim_sizes() const`

Returns sizes of all dimensions.

`int64 tensorflow::TensorShape::num_elements() const`

Returns the number of elements in the tensor.

We use int64 and not size_t to be compatible with Eigen::Tensor which uses ptrdiff_t.

`bool tensorflow::TensorShape::IsSameSize(const TensorShape &b) const`

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!=(const TensorShape &b) const`

`void tensorflow::TensorShape::AsProto(TensorShapeProto *proto) const`

Fill *proto from *this.

`Eigen::DSizes< Eigen::DenseIndex, NDIMS > tensorflow::TensorShape::AsEigenDSizes() const`

Fill *dsizes from *this.

`Eigen::DSizes< Eigen::DenseIndex, NDIMS > tensorflow::TensorShape::AsEigenDSizesWithPadding() const`

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`

For iterating through the dimensions.

`TensorShapeIter tensorflow::TensorShape::end() const`

`string tensorflow::TensorShape::DebugString() const`

For error messages.

`void tensorflow::TensorShape::DumpRep() const`

`bool tensorflow::TensorShape::IsValid(const TensorShapeProto &proto)`

Returns true iff proto is a valid tensor shape.

`Status tensorflow::TensorShape::IsValidShape(const TensorShapeProto &proto)`

Returns OK iff proto is a valid tensor shape, and a descriptive error status otherwise.

`static constexpr int tensorflow::TensorShape::MaxDimensions()`

`string tensorflow::TensorShape::DebugString(const TensorShapeProto &proto)`

Same as TensorShape(proto). DebugString() but doesn't crash for invalid protos.

class tensorflow::TensorShape