def create_uninitialized_tensor_descriptor():
"""Create uninitialized tensor descriptor.
Create a cudnnCreateTensorDescriptor_t that is not yet initialized.
This is used by the batch normalization functions.
"""
desc = Descriptor(cudnn.createTensorDescriptor(), cudnn.destroyTensorDescriptor)
return desc
def create_uninitialized_tensor_descriptor():
"""Create uninitialized tensor descriptor.
Create a cudnnCreateTensorDescriptor_t that is not yet initialized.
This is used by the batch normalization functions.
"""
desc = Descriptor(cudnn.createTensorDescriptor(),
cudnn.destroyTensorDescriptor)
return desc
def create_tensor_descriptor(arr, format=cudnn.CUDNN_TENSOR_NCHW):
desc = Descriptor(cudnn.createTensorDescriptor(), cudnn.destroyTensorDescriptor)
if arr.ndim != 4:
raise ValueError("cupy.cudnn supports 4-dimensional arrays only")
if not arr.flags.c_contiguous:
raise ValueError("cupy.cudnn supports c-contiguous arrays only")
data_type = get_data_type(arr.dtype)
cudnn.setTensor4dDescriptor(desc.value, format, data_type, *arr.shape)
return desc
def create_tensor_descriptor(arr, format=cudnn.CUDNN_TENSOR_NCHW):
desc = Descriptor(cudnn.createTensorDescriptor(),
cudnn.destroyTensorDescriptor)
if arr.ndim != 4:
raise ValueError('cupy.cudnn supports 4-dimensional arrays only')
if not arr.flags.c_contiguous:
raise ValueError('cupy.cudnn supports c-contiguous arrays only')
data_type = get_data_type(arr.dtype)
cudnn.setTensor4dDescriptor(desc.value, format, data_type, *arr.shape)
return desc
def create_tensor_descriptor(arr, format=cudnn.CUDNN_TENSOR_NCHW):
desc = Descriptor(cudnn.createTensorDescriptor(), cudnn.destroyTensorDescriptor)
if not arr.flags.c_contiguous:
raise ValueError("cupy.cudnn supports c-contiguous arrays only")
data_type = get_data_type(arr.dtype)
if arr.ndim == 4:
cudnn.setTensor4dDescriptor(desc.value, format, data_type, *arr.shape)
else:
c_shape = _to_ctypes_array(arr.shape)
c_strides = _to_ctypes_array(_compute_strides(arr.shape))
cudnn.setTensorNdDescriptor(desc.value, data_type, arr.ndim, c_shape.data, c_strides.data)
return desc
def create_tensor_descriptor(arr, format=cudnn.CUDNN_TENSOR_NCHW):
desc = Descriptor(cudnn.createTensorDescriptor(),
cudnn.destroyTensorDescriptor)
if not arr.flags.c_contiguous:
raise ValueError('cupy.cudnn supports c-contiguous arrays only')
data_type = get_data_type(arr.dtype)
if arr.ndim == 4:
cudnn.setTensor4dDescriptor(desc.value, format, data_type, *arr.shape)
else:
c_shape = _to_ctypes_array(arr.shape)
c_strides = _to_ctypes_array(_compute_strides(arr.shape))
cudnn.setTensorNdDescriptor(desc.value, data_type, arr.ndim,
c_shape.data, c_strides.data)
return desc
def create_tensor_nd_descriptor(arr):
desc = Descriptor(cudnn.createTensorDescriptor(), cudnn.destroyTensorDescriptor)
if not arr.flags.c_contiguous:
raise ValueError("cupy.cudnn supports c-contiguous arrays only")
data_type = get_data_type(arr.dtype)
shape = arr.shape
# numpy's stride is defined in bytes, but cudnn's stride is defined in
# size of element
strides = [s // arr.itemsize for s in arr.strides]
c_shape = _to_ctypes_array(shape)
c_strides = _to_ctypes_array(strides)
cudnn.setTensorNdDescriptor(desc.value, data_type, arr.ndim, c_shape.data, c_strides.data)
return desc
def create_tensor_nd_descriptor(arr):
desc = Descriptor(cudnn.createTensorDescriptor(),
cudnn.destroyTensorDescriptor)
if not arr.flags.c_contiguous:
raise ValueError('cupy.cudnn supports c-contiguous arrays only')
data_type = get_data_type(arr.dtype)
shape = arr.shape
# numpy's stride is defined in bytes, but cudnn's stride is defined in
# size of element
strides = [s // arr.itemsize for s in arr.strides]
c_shape = _to_ctypes_array(shape)
c_strides = _to_ctypes_array(strides)
cudnn.setTensorNdDescriptor(desc.value, data_type,
arr.ndim, c_shape.data, c_strides.data)
return desc