InvalidArgumentError :必须使用dtype float为占位符张量“placeholder”提供值

InvalidArgumentError: Placeholder tensor "placeholder" must be provided with a value of dtype float.

Explanation: The error message indicates that there is an issue with providing a value for a placeholder tensor in TensorFlow. Placeholders are used to define inputs to a TensorFlow computational graph, and they act as empty containers that will be filled with actual data during the execution of the graph.

In this case, the placeholder tensor named "placeholder" is expected to receive a value of type float, but it is not being provided with the correct data type.

Solution: To resolve this error, you need to ensure that you are providing a value of dtype float for the placeholder tensor. Here are a few steps you can follow:

1. Define the placeholder tensor with the correct dtype:
2. Define the placeholder tensor with the correct dtype:
3. When feeding data to the placeholder, make sure the data type matches:
4. When feeding data to the placeholder, make sure the data type matches:
5. Note: float_value should be a float value or a NumPy array of float values.
6. Ensure that the placeholder is being used correctly within the TensorFlow graph.

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