{"record":{"id":"8c8f9ee59754113d","repo":"keras-team/keras","slug":"the-number-of-input-channels-must-be-evenly-divisi-8c8f9e","errorCode":null,"errorMessage":"The number of input channels must be evenly divisible by kernel's in_channels. Received input channels {channels} and kernel in_channels {kernel_in_channels}. ","messagePattern":"The number of input channels must be evenly divisible by kernel's in_channels\\. Received input channels (.+?) and kernel in_channels (.+?)\\. ","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"keras/src/backend/numpy/nn.py","lineNumber":658,"sourceCode":"    strides = _convert_to_spatial_operand(\n        strides,\n        num_spatial_dims,\n        data_format,\n        include_batch_and_channels=False,\n    )\n    dilation_rate = _convert_to_spatial_operand(\n        dilation_rate,\n        num_spatial_dims,\n        data_format,\n        include_batch_and_channels=False,\n    )\n    if data_format == \"channels_last\":\n        channels = inputs.shape[-1]\n    else:\n        channels = inputs.shape[1]\n    kernel_in_channels = kernel.shape[-2]\n    if channels % kernel_in_channels > 0:\n        raise ValueError(\n            \"The number of input channels must be evenly divisible by \"\n            f\"kernel's in_channels. Received input channels {channels} and \"\n            f\"kernel in_channels {kernel_in_channels}. \"\n        )\n    feature_group_count = channels // kernel_in_channels\n    result = np.array(\n        jax.lax.conv_general_dilated(\n            inputs,\n            kernel if is_tensor(kernel) else kernel.numpy(),\n            strides,\n            padding,\n            rhs_dilation=dilation_rate,\n            dimension_numbers=dimension_numbers,\n            feature_group_count=feature_group_count,\n        )\n    )\n    if result.size == 0 and inputs.size != 0:\n        raise ValueError(","sourceCodeStart":640,"sourceCodeEnd":676,"githubUrl":"https://github.com/keras-team/keras/blob/7a34a03db60bf60042242d6a556fc3be119046a5/keras/src/backend/numpy/nn.py#L640-L676","documentation":"Error \"The number of input channels must be evenly divisible by kernel's in_channels. Received input channels {channels} and kernel in_channels {kernel_in_channels}. \" thrown in keras-team/keras.","triggerScenarios":"Thrown at keras/src/backend/numpy/nn.py:658 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"7a34a03db60bf60042242d6a556fc3be119046a5","analyzedAt":"2026-08-25T21:25:25.994Z","schemaVersion":2},"datasetVersion":"2026-08-26T02:17:13.382Z"}