Python tensor_list_stack 예제들

예제 #1

파일: list_ops.py 프로젝트: terrytangyuan/tensorflow

def tensor_list_stack(input_handle, element_dtype, num_elements=-1, name=None):
  return gen_list_ops.tensor_list_stack(
      input_handle=input_handle,
      element_shape=-1,
      element_dtype=element_dtype,
      num_elements=num_elements,
      name=name)

예제 #2

def tensor_list_stack(input_handle,
                      element_dtype,
                      num_elements=-1,
                      element_shape=None,
                      name=None):
    return gen_list_ops.tensor_list_stack(
        input_handle=input_handle,
        element_shape=_build_element_shape(element_shape),
        element_dtype=element_dtype,
        num_elements=num_elements,
        name=name)

예제 #3

파일: list_ops.py 프로젝트: tejamukka/tensorflow-1

def _TensorListFromTensor(op, dlist):
    if op.inputs[0].shape[0] is not None:
        num_elements = op.inputs[0].shape[0]
    else:
        num_elements = None
    if dlist is None:
        dlist = gen_list_ops.empty_tensor_list(
            element_dtype=op.inputs[0].dtype, element_shape=-1)
    return gen_list_ops.tensor_list_stack(dlist,
                                          element_dtype=op.inputs[0].dtype,
                                          num_elements=num_elements)

예제 #4

파일: list_ops.py 프로젝트: andrewharp/tensorflow

def _TensorListFromTensor(op, dlist):
  if op.inputs[0].shape[0] is not None:
    num_elements = op.inputs[0].shape[0]
  else:
    num_elements = None
  if dlist is None:
    dlist = gen_list_ops.empty_tensor_list(
        element_dtype=op.inputs[0].dtype,
        element_shape=-1)
  return gen_list_ops.tensor_list_stack(
      dlist, element_dtype=op.inputs[0].dtype,
      num_elements=num_elements)

예제 #5

파일: list_ops.py 프로젝트: Soum-Soum/Tensorflow_Face_Finder

def _TensorListFromTensorGrad(op, dlist):
    """Gradient for TensorListFromTensor."""
    if op.inputs[0].shape[0] is not None:
        num_elements = op.inputs[0].shape[0]
    else:
        num_elements = None
    if dlist is None:
        dlist = gen_list_ops.empty_tensor_list(
            element_dtype=op.inputs[0].dtype,
            element_shape=gen_list_ops.tensor_list_element_shape(
                op.outputs[0], shape_type=dtypes.int32))
    return gen_list_ops.tensor_list_stack(dlist,
                                          element_dtype=op.inputs[0].dtype,
                                          num_elements=num_elements)

예제 #6

파일: list_ops.py 프로젝트: AndrewTwinz/tensorflow

def _TensorListFromTensorGrad(op, dlist):
  """Gradient for TensorListFromTensor."""
  if op.inputs[0].shape[0] is not None:
    num_elements = op.inputs[0].shape[0]
  else:
    num_elements = None
  if dlist is None:
    dlist = gen_list_ops.empty_tensor_list(
        element_dtype=op.inputs[0].dtype,
        element_shape=gen_list_ops.tensor_list_element_shape(
            op.outputs[0], shape_type=dtypes.int32))
  return gen_list_ops.tensor_list_stack(
      dlist, element_dtype=op.inputs[0].dtype,
      num_elements=num_elements)

예제 #7

파일: list_ops.py 프로젝트: qwerzou1/shibie

def _TensorListFromTensorGrad(op, dlist):
    """Gradient for TensorListFromTensor."""
    if op.inputs[0].shape.dims and op.inputs[0].shape.dims[0].value is not None:
        num_elements = op.inputs[0].shape.dims[0].value
    else:
        num_elements = None
    if dlist is None:
        dlist = empty_tensor_list(
            element_dtype=op.inputs[0].dtype,
            element_shape=gen_list_ops.tensor_list_element_shape(
                op.outputs[0], shape_type=dtypes.int32))
    tensor_grad = gen_list_ops.tensor_list_stack(
        dlist, element_dtype=op.inputs[0].dtype, num_elements=num_elements)
    shape_grad = None
    return tensor_grad, shape_grad

예제 #8

파일: list_ops.py 프로젝트: bunbutter/tensorflow

def _TensorListFromTensorGrad(op, dlist):
  """Gradient for TensorListFromTensor."""
  if op.inputs[0].shape.dims and op.inputs[0].shape.dims[0].value is not None:
    num_elements = op.inputs[0].shape.dims[0].value
  else:
    num_elements = None
  if dlist is None:
    dlist = empty_tensor_list(
        element_dtype=op.inputs[0].dtype,
        element_shape=gen_list_ops.tensor_list_element_shape(
            op.outputs[0], shape_type=dtypes.int32))
  tensor_grad = gen_list_ops.tensor_list_stack(
      dlist, element_dtype=op.inputs[0].dtype, num_elements=num_elements)
  shape_grad = None
  return tensor_grad, shape_grad