..........
tensorflow.python.framework.errors_impl.InvalidArgumentError: Invalid name:
An op that loads optimization parameters into HBM for embedding. Must be
preceded by a ConfigureTPUEmbeddingHost op that sets up the correct
embedding table configuration. For example, this op is used to install
parameters that are loaded from a checkpoint before a training loop is
executed.
parameters: A tensor containing the initial embedding table parameters to use in embedding
lookups using the Adagrad optimization algorithm.
accumulators: A tensor containing the initial embedding table accumulators to use in embedding
lookups using the Adagrad optimization algorithm.
table_name: Name of this table; must match a name in the
TPUEmbeddingConfiguration proto (overrides table_id).
num_shards: Number of shards into which the embedding tables are divided.
shard_id: Identifier of shard for this operation.
table_id: Index of this table in the EmbeddingLayerConfiguration proto
(deprecated).
这个错误的原因是tensorflow的版本问题，12.0和13.0都有这个问题，我是在树莓派安装-TensorFlow-Object-Detection遇见的，解决方案：
卸载原来的tensorflow然后

wget https://github.com/lhelontra/tensorflow-on-arm/releases/download/v1.8.0/tensorflow-1.8.0-cp35-none-linux_armv7l.whl

这是树莓派系统的版本

参考
https://github.com/tensorflow/tensorflow/issues/23386
和
https://github.com/EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi