Merge pull request #1049 from lilleswing/test-fixes (eed766dd) · Commits · 钟慕尧 / deepchem

deepchem/models/tensorflow_models/IRV.py

+2 −2

Original line number	Diff line number	Diff line
		@@ -114,8 +114,8 @@ class TensorflowMultiTaskIRVClassifier(TensorflowLogisticRegression):
		capacity=5,
		dtypes=[tf.float32] *
		(len(label_placeholders) + len(weight_placeholders) + 1))
		graph.enqueue = graph.queue.enqueue([mol_features] + label_placeholders
		+ weight_placeholders)
		graph.enqueue = graph.queue.enqueue(
		[mol_features] + label_placeholders + weight_placeholders)
		queue_outputs = graph.queue.dequeue()
		labels = queue_outputs[1:len(label_placeholders) + 1]
		weights = queue_outputs[len(label_placeholders) + 1:]

+4 −4

Original line number	Diff line number	Diff line
		@@ -451,8 +451,8 @@ class TensorflowMultiTaskClassifier(TensorflowClassifier):
		capacity=5,
		dtypes=[tf.float32] *
		(len(label_placeholders) + len(weight_placeholders) + 1))
		graph.enqueue = graph.queue.enqueue([mol_features] + label_placeholders
		+ weight_placeholders)
		graph.enqueue = graph.queue.enqueue(
		[mol_features] + label_placeholders + weight_placeholders)
		queue_outputs = graph.queue.dequeue()
		labels = queue_outputs[1:len(label_placeholders) + 1]
		weights = queue_outputs[len(label_placeholders) + 1:]
		@@ -550,8 +550,8 @@ class TensorflowMultiTaskRegressor(TensorflowRegressor):
		capacity=5,
		dtypes=[tf.float32] *
		(len(label_placeholders) + len(weight_placeholders) + 1))
		graph.enqueue = graph.queue.enqueue([mol_features] + label_placeholders
		+ weight_placeholders)
		graph.enqueue = graph.queue.enqueue(
		[mol_features] + label_placeholders + weight_placeholders)
		queue_outputs = graph.queue.dequeue()
		labels = queue_outputs[1:len(label_placeholders) + 1]
		weights = queue_outputs[len(label_placeholders) + 1:]

+2 −2

Original line number	Diff line number	Diff line
		@@ -72,8 +72,8 @@ class TensorflowLogisticRegression(TensorflowGraphModel):
		capacity=5,
		dtypes=[tf.float32] *
		(len(label_placeholders) + len(weight_placeholders) + 1))
		graph.enqueue = graph.queue.enqueue([mol_features] + label_placeholders
		+ weight_placeholders)
		graph.enqueue = graph.queue.enqueue(
		[mol_features] + label_placeholders + weight_placeholders)
		queue_outputs = graph.queue.dequeue()
		labels = queue_outputs[1:len(label_placeholders) + 1]
		weights = queue_outputs[len(label_placeholders) + 1:]

+4 −4

Original line number	Diff line number	Diff line
		@@ -90,8 +90,8 @@ class RobustMultitaskClassifier(TensorflowMultiTaskClassifier):
		capacity=5,
		dtypes=[tf.float32] *
		(len(label_placeholders) + len(weight_placeholders) + 1))
		graph.enqueue = graph.queue.enqueue([mol_features] + label_placeholders
		+ weight_placeholders)
		graph.enqueue = graph.queue.enqueue(
		[mol_features] + label_placeholders + weight_placeholders)
		queue_outputs = graph.queue.dequeue()
		labels = queue_outputs[1:len(label_placeholders) + 1]
		weights = queue_outputs[len(label_placeholders) + 1:]
		@@ -247,8 +247,8 @@ class RobustMultitaskRegressor(TensorflowMultiTaskRegressor):
		capacity=5,
		dtypes=[tf.float32] *
		(len(label_placeholders) + len(weight_placeholders) + 1))
		graph.enqueue = graph.queue.enqueue([mol_features] + label_placeholders
		+ weight_placeholders)
		graph.enqueue = graph.queue.enqueue(
		[mol_features] + label_placeholders + weight_placeholders)
		queue_outputs = graph.queue.dequeue()
		labels = queue_outputs[1:len(label_placeholders) + 1]
		weights = queue_outputs[len(label_placeholders) + 1:]