keras-team/keras · error · ValueError
{type(self.layer).__name__} object has no attribute 'kernel'
Error message
{type(self.layer).__name__} object has no attribute 'kernel' nor 'embeddings' What it means
Error "{type(self.layer).__name__} object has no attribute 'kernel' nor 'embeddings'" thrown in keras-team/keras.
Source
Thrown at keras/src/layers/normalization/spectral_normalization.py:62
def __init__(self, layer, power_iterations=1, **kwargs):
super().__init__(layer, **kwargs)
if power_iterations <= 0:
raise ValueError(
"`power_iterations` should be greater than zero. Received: "
f"`power_iterations={power_iterations}`"
)
self.power_iterations = power_iterations
def build(self, input_shape):
super().build(input_shape)
self.input_spec = InputSpec(min_ndim=1, axes={-1: input_shape[-1]})
if hasattr(self.layer, "kernel"):
self.kernel = self.layer.kernel
elif hasattr(self.layer, "embeddings"):
self.kernel = self.layer.embeddings
else:
raise ValueError(
f"{type(self.layer).__name__} object has no attribute 'kernel' "
"nor 'embeddings'"
)
self.kernel_shape = self.kernel.shape
self.vector_u = self.add_weight(
shape=(1, self.kernel_shape[-1]),
initializer=initializers.TruncatedNormal(stddev=0.02),
trainable=False,
name="vector_u",
dtype=self.kernel.dtype,
)
def call(self, inputs, training=False):
if training:
new_vector_u, new_kernel = ops.cond(
ops.all(ops.equal(self.kernel.value, 0)),View on GitHub (pinned to 7a34a03db6)
When it happens
Trigger: Thrown at keras/src/layers/normalization/spectral_normalization.py:62 when the library encounters an invalid state.
Common situations: See trigger scenarios.
AI-assisted analysis of keras-team/keras@7a34a03db6 (2026-08-25).
Data as JSON: /api/errors/6c59808d4ebda486.
Report an issue: GitHub.