keras-team/keras · error · ValueError

ConvLSTM layers only support static input shapes for the spa

Error message

ConvLSTM layers only support static input shapes for the spatial dimension. Received invalid input shape: input_shape={inputs_shape}

What it means

Error "ConvLSTM layers only support static input shapes for the spatial dimension. Received invalid input shape: input_shape={inputs_shape}" thrown in keras-team/keras.

Source

Thrown at keras/src/layers/rnn/conv_lstm.py:172

        self.kernel_constraint = constraints.get(kernel_constraint)
        self.recurrent_constraint = constraints.get(recurrent_constraint)
        self.bias_constraint = constraints.get(bias_constraint)

        self.dropout = min(1.0, max(0.0, dropout))
        self.recurrent_dropout = min(1.0, max(0.0, recurrent_dropout))
        self.dropout_mask_count = 4
        self.input_spec = InputSpec(ndim=rank + 2)
        self.state_size = -1  # Custom, defined in methods

    def build(self, inputs_shape, states_shape=None):
        if self.data_format == "channels_first":
            channel_axis = 1
            self.spatial_dims = inputs_shape[2:]
        else:
            channel_axis = -1
            self.spatial_dims = inputs_shape[1:-1]
        if None in self.spatial_dims:
            raise ValueError(
                "ConvLSTM layers only support static "
                "input shapes for the spatial dimension. "
                f"Received invalid input shape: input_shape={inputs_shape}"
            )
        if inputs_shape[channel_axis] is None:
            raise ValueError(
                "The channel dimension of the inputs (last axis) should be "
                "defined. Found None. Full input shape received: "
                f"input_shape={inputs_shape}"
            )
        self.input_spec = InputSpec(
            ndim=self.rank + 3, shape=(None,) + inputs_shape[1:]
        )

        input_dim = inputs_shape[channel_axis]
        self.input_dim = input_dim
        self.kernel_shape = self.kernel_size + (input_dim, self.filters * 4)
        recurrent_kernel_shape = self.kernel_size + (

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/rnn/conv_lstm.py:172 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/10148de7c612e78a. Report an issue: GitHub.