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@@ -72,7 +72,7 @@ class Parameters:
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self.RandomUniformInit([1, embedding_dims]))
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self.RandomUniformInit([1, embedding_dims]))
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params["break_conditional"] = tf.Variable(
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params["break_conditional"] = tf.Variable(
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self.RandomUniformInit([2 * embedding_dims, embedding_dims]))
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self.RandomUniformInit([2 * embedding_dims, embedding_dims]))
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- init = tf.initialize_all_variables()
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+ init = tf.global_variables_initializer()
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return params, global_step, init
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return params, global_step, init
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def RandomUniformInit(self, shape):
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def RandomUniformInit(self, shape):
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