TensorFlow 2.12.0训练模型时出现Placeholder占位符警告的问题咨询

我在用TensorFlow 2.12.0训练一个简单模型时，遇到了一个让我有点在意的警告。虽然提示里明确说可以忽略，但我总觉得可能哪里有潜在问题，不想就这么无视它，而且就算设置verbose=0，这个警告还是会跳出来。

警告内容如下：

I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype double and shape [5000,25,1]

[[{{node Placeholder/_1}}]]

以下是我用来复现问题的极简代码：

import numpy as np
from keras import Model
from keras.layers import Input, Flatten, Dense, Reshape
import tensorflow as tf

x = np.random.rand(5000, 10, 7)
y = np.random.rand(5000, 25, 1)

#############################################################
# 创建数据集
#############################################################
ds = tf.data.Dataset.from_tensor_slices((x, y))
ds = ds.batch(32, drop_remainder=True)

#############################################################
# 构建模型
#############################################################
inputs = []
x = Input(shape=(10, 7))
inputs.append(x)
x = Flatten()(x)
x = Dense(25)(x)
x = Reshape((25, 1))(x)
model = Model(inputs=inputs, outputs=x)

model.compile(loss="mse")
model.summary()

#############################################################
# 训练模型
#############################################################
model.fit(ds, batch_size=10, verbose=1, epochs=10)

运行代码后的完整输出：

2023-04-10 17:32:46.805357: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-04-10 17:32:47.312460: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT
2023-04-10 17:32:50.162190: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1635] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 2578 MB memory:  -> device: 0, name: Quadro T1000, pci bus id: 0000:01:00.0, compute capability: 7.5
Model: "model"
_________________________________________________________________
Layer (type)                Output Shape              Param #
=================================================================
input_1 (InputLayer)        [(None, 10, 7)]           0
flatten (Flatten)           (None, 70)                0
dense (Dense)               (None, 25)                1775
reshape (Reshape)           (None, 25, 1)             0
=================================================================
Total params: 1,775
Trainable params: 1,775
Non-trainable params: 0
_________________________________________________________________
Epoch 1/10
2023-04-10 17:32:50.244149: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'Placeholder/_1' with dtype double and shape [5000,25,1]

[[{{node Placeholder/_1}}]]
2023-04-10 17:32:50.804972: I tensorflow/compiler/xla/service/service.cc:169] XLA service 0x7f6e808f79c0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2023-04-10 17:32:50.804996: I tensorflow/compiler/xla/service/service.cc:177]   StreamExecutor device (0): Quadro T1000, Compute Capability 7.5
2023-04-10 17:32:50.807856: I tensorflow/compiler/mlir/tensorflow/utils/dump_mlir_util.cc:269] disabling MLIR crash reproducer, set env var `MLIR_CRASH_REPRODUCER_DIRECTORY` to enable.
2023-04-10 17:32:50.909253: I tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:424] Loaded cuDNN version 8600
2023-04-10 17:32:50.946872: I tensorflow/tsl/platform/default/subprocess.cc:304] Start cannot spawn child process: No such file or directory
2023-04-10 17:32:50.981030: I ./tensorflow/compiler/jit/device_compiler.h:180] Compiled cluster using XLA!  This line is logged at most once for the lifetime of the process.
156/156 [==============================] - 1s 986us/step - loss: 0.2249
Epoch 2/10
156/156 [==============================] - 0s 958us/step - loss: 0.1457
Epoch 3/10
156/156 [==============================] - 0s 981us/step - loss: 0.1185
Epoch 4/10
156/156 [==============================] - 0s 929us/step - loss: 0.1026
Epoch 5/10
156/156 [==============================] - 0s 1ms/step - loss: 0.0940
Epoch 6/10
156/156 [==============================] - 0s 929us/step - loss: 0.0895
Epoch 7/10
156/156 [==============================] - 0s 960us/step - loss: 0.0872
Epoch 8/10
156/156 [==============================] - 0s 958us/step - loss: 0.0860
Epoch 9/10
156/156 [==============================] - 0s 969us/step - loss: 0.0854
Epoch 10/10
156/156 [==============================] - 0s 998us/step - loss: 0.0851
Process finished with exit code 0

备注：内容来源于stack exchange，提问作者Gustav-Gans