keras-team/keras · error · ValueError

Specifying `strides > 1` is not compatible with `dilation_ra

Error message

Specifying `strides > 1` is not compatible with `dilation_rate > 1`. Please provide `strides=1` or `dilation_rate=1`. Received: strides={self.strides} and dilation_rate={self.dilation_rate}

What it means

Error "Specifying `strides > 1` is not compatible with `dilation_rate > 1`. Please provide `strides=1` or `dilation_rate=1`. Received: strides={self.strides} and dilation_rate={self.dilation_rate}" thrown in keras-team/keras.

Source

Thrown at keras/src/layers/rnn/conv_lstm.py:134

        if self.rank > 3:
            raise ValueError(
                f"Rank {rank} convolutions are not currently "
                f"implemented. Received: rank={rank}"
            )
        self.filters = filters
        self.kernel_size = argument_validation.standardize_tuple(
            kernel_size, self.rank, "kernel_size"
        )
        self.strides = argument_validation.standardize_tuple(
            strides, self.rank, "strides", allow_zero=True
        )
        self.padding = argument_validation.standardize_padding(padding)
        self.data_format = backend.standardize_data_format(data_format)
        self.dilation_rate = argument_validation.standardize_tuple(
            dilation_rate, self.rank, "dilation_rate"
        )
        if max(self.strides) > 1 and max(self.dilation_rate) > 1:
            raise ValueError(
                "Specifying `strides > 1` is not compatible with "
                "`dilation_rate > 1`. Please provide `strides=1` or "
                "`dilation_rate=1`. "
                f"Received: strides={self.strides} and "
                f"dilation_rate={self.dilation_rate}"
            )
        self.activation = activations.get(activation)
        self.recurrent_activation = activations.get(recurrent_activation)
        self.use_bias = use_bias

        self.kernel_initializer = initializers.get(kernel_initializer)
        self.recurrent_initializer = initializers.get(recurrent_initializer)
        self.bias_initializer = initializers.get(bias_initializer)
        self.unit_forget_bias = unit_forget_bias

        self.kernel_regularizer = regularizers.get(kernel_regularizer)
        self.recurrent_regularizer = regularizers.get(recurrent_regularizer)
        self.bias_regularizer = regularizers.get(bias_regularizer)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/layers/rnn/conv_lstm.py:134 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/2ade79fde392c0c1. Report an issue: GitHub.