keras-team/keras · error · ValueError

Unknown Inception-ResNet block type. Expects "block35", "blo

Error message

Unknown Inception-ResNet block type. Expects "block35", "block17" or "block8", but got: {block_type}

What it means

Error "Unknown Inception-ResNet block type. Expects "block35", "block17" or "block8", but got: {block_type}" thrown in keras-team/keras.

Source

Thrown at keras/src/applications/inception_resnet_v2.py:353

        branch_1 = conv2d_bn(branch_1, 32, 3)
        branch_2 = conv2d_bn(x, 32, 1)
        branch_2 = conv2d_bn(branch_2, 48, 3)
        branch_2 = conv2d_bn(branch_2, 64, 3)
        branches = [branch_0, branch_1, branch_2]
    elif block_type == "block17":
        branch_0 = conv2d_bn(x, 192, 1)
        branch_1 = conv2d_bn(x, 128, 1)
        branch_1 = conv2d_bn(branch_1, 160, [1, 7])
        branch_1 = conv2d_bn(branch_1, 192, [7, 1])
        branches = [branch_0, branch_1]
    elif block_type == "block8":
        branch_0 = conv2d_bn(x, 192, 1)
        branch_1 = conv2d_bn(x, 192, 1)
        branch_1 = conv2d_bn(branch_1, 224, [1, 3])
        branch_1 = conv2d_bn(branch_1, 256, [3, 1])
        branches = [branch_0, branch_1]
    else:
        raise ValueError(
            "Unknown Inception-ResNet block type. "
            'Expects "block35", "block17" or "block8", '
            f"but got: {block_type}"
        )

    block_name = f"{block_type}_{block_idx}"
    channel_axis = 1 if backend.image_data_format() == "channels_first" else 3
    mixed = layers.Concatenate(axis=channel_axis, name=f"{block_name}_mixed")(
        branches
    )
    up = conv2d_bn(
        mixed,
        x.shape[channel_axis],
        1,
        activation=None,
        use_bias=True,
        name=f"{block_name}_conv",
    )

View on GitHub (pinned to 7a34a03db6)

When it happens

Trigger: Thrown at keras/src/applications/inception_resnet_v2.py:353 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/5927144b5886c8f8. Report an issue: GitHub.