Closed
Description
I got an error message including a request that I report a bug.
Here's the code:
import numpy as np
import tensorflow as tf
import platform
print()
print(f"PLATFORM:\n---------\n{platform.platform()}")
print("\nTENSORFLOW:\n----------")
for a in tf.version.__all__:
print(f"{a}: {getattr(tf.version, a)}")
print(f"\nNUMPY:\n-----\n{np.version.version}")
print(f"\nPYTHON:\n-------\n{sys.version}\n")
np.random.seed(0)
tf.random.set_seed(0)
model = tf.keras.models.Sequential([
tf.keras.layers.Dense(1, activation="linear")
])
model.compile(optimizer="sgd", loss="mse")
x = np.random.uniform(size=(1,1))
y = np.random.uniform(size=(1,))
model.fit(x, y, epochs=1)And here's the output, including system info, module versions, etc.
PLATFORM:
---------
Darwin-18.7.0-x86_64-i386-64bit
TENSORFLOW:
----------
COMPILER_VERSION: 4.2.1 Compatible Apple LLVM 10.0.0 (clang-1000.11.45.5)
GIT_VERSION: v2.0.0-beta1-5101-gc75bb66a99
GRAPH_DEF_VERSION: 119
GRAPH_DEF_VERSION_MIN_CONSUMER: 0
GRAPH_DEF_VERSION_MIN_PRODUCER: 0
VERSION: 2.0.0-rc0
NUMPY:
-----
1.17.1
PYTHON:
-------
3.7.4 (default, Jul 9 2019, 18:13:23)
[Clang 10.0.1 (clang-1001.0.46.4)]
Train on 1 samples
WARNING:tensorflow:Entity <function Function._initialize_uninitialized_variables.<locals>.initialize_variables at 0x1492748c0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'
WARNING: Entity <function Function._initialize_uninitialized_variables.<locals>.initialize_variables at 0x1492748c0> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'
1/1 [==============================] - 0s 157ms/sample - loss: 1.2336
<tensorflow.python.keras.callbacks.History at 0x14927b5d0>