keras-team/keras · error · ValueError

The convolution operation resulted in an empty output. This

Error message

The convolution operation resulted in an empty output. This can happen if the input is too small for the given kernel size, strides, dilation rate, and padding mode. Please check the input shape and convolution parameters.

What it means

Error "The convolution operation resulted in an empty output. This can happen if the input is too small for the given kernel size, strides, dilation rate, and padding mode. Please check the input shape and convolution parameters." thrown in keras-team/keras.

Source

Thrown at keras/src/backend/numpy/ops/nn.py:677

        raise ValueError(
            "The number of input channels must be evenly divisible by "
            f"kernel's in_channels. Received input channels {channels} and "
            f"kernel in_channels {kernel_in_channels}. "
        )
    feature_group_count = channels // kernel_in_channels
    result = np.array(
        jax.lax.conv_general_dilated(
            inputs,
            kernel if is_tensor(kernel) else kernel.numpy(),
            strides,
            padding,
            rhs_dilation=dilation_rate,
            dimension_numbers=dimension_numbers,
            feature_group_count=feature_group_count,
        )
    )
    if result.size == 0 and inputs.size != 0:
        raise ValueError(
            "The convolution operation resulted in an empty output. "
            "This can happen if the input is too small for the given "
            "kernel size, strides, dilation rate, and padding mode. "
            "Please check the input shape and convolution parameters."
        )
    return result


def depthwise_conv(
    inputs,
    kernel,
    strides=1,
    padding="valid",
    data_format=None,
    dilation_rate=1,
):
    data_format = standardize_data_format(data_format)
    inputs = convert_to_tensor(inputs)

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/backend/numpy/ops/nn.py:677 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/67a57cb3eedf324b. Report an issue: GitHub.