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TensorFlow Placeholder Fix (#6852)
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Fixed this error from happening when running this code:

tf.placeholder() is not compatible with eager execution.
  at placeholder
    raise RuntimeError("tf.placeholder() is not compatible with "
 in array_ops.py: line 3341
  at NetTrain
    xs = tf.compat.v1.placeholder(tf.float32 in /QuantConnect/backtesting/./cache/algorithm/project/main.py: line 57
This commit is contained in:
ChadBett
2023-01-11 06:18:47 -08:00
committed by GitHub
parent a9c4d29776
commit 73e46cc9ae
1 changed files with 2 additions and 1 deletions
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Algorithm.Python/TensorFlowNeuralNetworkAlgorithm.py
+2 -1
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@@ -12,7 +12,7 @@
# limitations under the License.
from AlgorithmImports import *
import tensorflow as tf
import tensorflow.compat.v1 as tf
class TensorFlowNeuralNetworkAlgorithm(QCAlgorithm):
@@ -65,6 +65,7 @@ class TensorFlowNeuralNetworkAlgorithm(QCAlgorithm):
y_data = np.array(self.prices_y[symbol]).astype(np.float32).reshape((-1,1))
# define placeholder for inputs to network
tf.disable_v2_behavior()
xs = tf.placeholder(tf.float32, [None, 1])
ys = tf.placeholder(tf.float32, [None, 1])