def activation_backward(x, y, gy, mode):
x = cupy.ascontiguousarray(x)
gy = cupy.ascontiguousarray(gy)
gx = cupy.empty_like(x)
dtype = "d" if x.dtype == "d" else "f"
one = numpy.array(1, dtype=dtype).ctypes
zero = numpy.array(0, dtype=dtype).ctypes
handle = get_handle()
y_mat = _as4darray(y)
desc = create_tensor_descriptor(y_mat)
cudnn.activationBackward_v3(
handle,
mode,
one.data,
desc.value,
y.data.ptr,
desc.value,
gy.data.ptr,
desc.value,
x.data.ptr,
zero.data,
desc.value,
gx.data.ptr,
)
return gx
def activation_backward(x, y, gy, mode):
x = cupy.ascontiguousarray(x)
gy = cupy.ascontiguousarray(gy)
gx = cupy.empty_like(x)
dtype = 'd' if x.dtype == 'd' else 'f'
one = numpy.array(1, dtype=dtype).ctypes
zero = numpy.array(0, dtype=dtype).ctypes
handle = get_handle()
y_mat = _as4darray(y)
desc = create_tensor_descriptor(y_mat)
if _cudnn_version >= 4000:
act_desc = Descriptor(cudnn.createActivationDescriptor(),
cudnn.destroyActivationDescriptor)
cudnn.setActivationDescriptor(
act_desc.value, mode, cudnn.CUDNN_NOT_PROPAGATE_NAN, 0.0)
cudnn.activationBackward_v4(
handle, act_desc.value, one.data, desc.value, y.data.ptr,
desc.value, gy.data.ptr, desc.value, x.data.ptr,
zero.data, desc.value, gx.data.ptr)
else:
cudnn.activationBackward_v3(
handle, mode, one.data, desc.value, y.data.ptr,
desc.value, gy.data.ptr, desc.value, x.data.ptr,
zero.data, desc.value, gx.data.ptr)
return gx
def activation_backward(x, y, gy, mode):
x = cupy.ascontiguousarray(x)
gy = cupy.ascontiguousarray(gy)
gx = cupy.empty_like(x)
dtype = 'd' if x.dtype == 'd' else 'f'
one = numpy.array(1, dtype=dtype).ctypes
zero = numpy.array(0, dtype=dtype).ctypes
handle = get_handle()
y_mat = _as4darray(y)
desc = create_tensor_descriptor(y_mat)
if _cudnn_version >= 4000:
act_desc = Descriptor(cudnn.createActivationDescriptor(),
cudnn.destroyActivationDescriptor)
cudnn.setActivationDescriptor(
act_desc.value, mode, cudnn.CUDNN_NOT_PROPAGATE_NAN, 0.0)
cudnn.activationBackward_v4(
handle, act_desc.value, one.data, desc.value, y.data.ptr,
desc.value, gy.data.ptr, desc.value, x.data.ptr,
zero.data, desc.value, gx.data.ptr)
else:
cudnn.activationBackward_v3(
handle, mode, one.data, desc.value, y.data.ptr,
desc.value, gy.data.ptr, desc.value, x.data.ptr,
zero.data, desc.value, gx.data.ptr)
return gx
def activation_backward(x, y, gy, mode):
x = cupy.ascontiguousarray(x)
gy = cupy.ascontiguousarray(gy)
gx = cupy.empty_like(x)
dtype = 'd' if x.dtype == 'd' else 'f'
one = numpy.array(1, dtype=dtype).ctypes
zero = numpy.array(0, dtype=dtype).ctypes
handle = get_handle()
y_mat = _as4darray(y)
desc = create_tensor_descriptor(y_mat)
cudnn.activationBackward_v3(handle, mode, one.data, desc.value, y.data.ptr,
desc.value, gy.data.ptr, desc.value,
x.data.ptr, zero.data, desc.value, gx.data.ptr)
return gx