当训练完运行eval.py测试，出现TypeError: Cannot interpret feed_dict key as Tensor: Tensor Tensor("input_1:0", shape=(?, 456, 456, 3), dtype=float32) is not an element of this graph.

[shakey-cuimiao]

Using TensorFlow backend.
2020-03-23 14:30:41.084890: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2020-03-23 14:30:44.398776: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x5638b17ca080 executing computations on platform CUDA. Devices:
2020-03-23 14:30:44.398829: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): GeForce RTX 2080 Ti, Compute Capability 7.5
2020-03-23 14:30:44.398840: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (1): GeForce RTX 2080 Ti, Compute Capability 7.5
2020-03-23 14:30:44.405480: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2499995000 Hz
2020-03-23 14:30:44.408096: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x5638b193fdc0 executing computations on platform Host. Devices:
2020-03-23 14:30:44.408128: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): ,
2020-03-23 14:30:44.408312: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 0 with properties:
name: GeForce RTX 2080 Ti major: 7 minor: 5 memoryClockRate(GHz): 1.545
pciBusID: 0000:01:00.0
totalMemory: 10.76GiB freeMemory: 10.60GiB
2020-03-23 14:30:44.408403: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1433] Found device 1 with properties:
name: GeForce RTX 2080 Ti major: 7 minor: 5 memoryClockRate(GHz): 1.545
pciBusID: 0000:02:00.0
totalMemory: 10.76GiB freeMemory: 10.60GiB
2020-03-23 14:30:44.408541: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0, 1
2020-03-23 14:30:44.411191: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-03-23 14:30:44.411219: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0 1
2020-03-23 14:30:44.411233: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0: N N
2020-03-23 14:30:44.411244: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 1: N N
2020-03-23 14:30:44.411375: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10312 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5)
2020-03-23 14:30:44.411927: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 10312 MB memory) -> physical GPU (device: 1, name: GeForce RTX 2080 Ti, pci bus id: 0000:02:00.0, compute capability: 7.5)
WARNING:tensorflow:From /opt/shakey/imageclass/garbage_classify-master/eval.py:134: load (from tensorflow.python.saved_model.loader_impl) is deprecated and will be removed in a future version.
Instructions for updating:
This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.loader.load or tf.compat.v1.saved_model.load. There will be a new function for importing SavedModels in Tensorflow 2.0.
WARNING:tensorflow:From /opt/shakey/.local/lib/python3.6/site-packages/tensorflow/python/training/saver.py:1266: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version.
Instructions for updating:
Use standard file APIs to check for files with this prefix.
2020-03-23 14:31:22.029904: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1512] Adding visible gpu devices: 0, 1
2020-03-23 14:31:22.030413: I tensorflow/core/common_runtime/gpu/gpu_device.cc:984] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-03-23 14:31:22.030436: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0 1
2020-03-23 14:31:22.030449: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 0: N N
2020-03-23 14:31:22.030459: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1003] 1: N N
2020-03-23 14:31:22.030628: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10312 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5)
2020-03-23 14:31:22.030908: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:1 with 10312 MB memory) -> physical GPU (device: 1, name: GeForce RTX 2080 Ti, pci bus id: 0000:02:00.0, compute capability: 7.5)
Traceback (most recent call last):
File "/opt/shakey/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1092, in _run
subfeed, allow_tensor=True, allow_operation=False)
File "/opt/shakey/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3478, in as_graph_element
return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
File "/opt/shakey/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3557, in _as_graph_element_locked
raise ValueError("Tensor %s is not an element of this graph." % obj)
ValueError: Tensor Tensor("input_1:0", shape=(?, 456, 456, 3), dtype=float32) is not an element of this graph.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "run.py", line 168, in
tf.app.run()
File "/opt/shakey/.local/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "run.py", line 165, in main
eval_model(FLAGS)
File "/opt/shakey/imageclass/garbage_classify-master/eval.py", line 218, in eval_model
test_single_model(FLAGS)
File "/opt/shakey/imageclass/garbage_classify-master/eval.py", line 162, in test_single_model
pred_score = sess1.run([output_score], feed_dict={input_images: img})
File "/opt/shakey/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 929, in run
run_metadata_ptr)
File "/opt/shakey/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1095, in _run
'Cannot interpret feed_dict key as Tensor: ' + e.args[0])
TypeError: Cannot interpret feed_dict key as Tensor: Tensor Tensor("input_1:0", shape=(?, 456, 456, 3), dtype=float32) is not an element of this graph.

[LwXxz]

我也存在这样的问题，请问你解决了吗

[wusaifei]

你好，你看一下网上是否有解决方案呢

[wusaifei]

@LwXxz @shakey-cuimiao 这个原因会不会是版本不匹配的问题呢？TensorFlow的版本过高？？
不知道这个能不能帮到你们：jaungiers/Multidimensional-LSTM-BitCoin-Time-Series#1