com.intel.analytics.bigdl.nn.ErrorInfo.scala Maven / Gradle / Ivy
/*
* Copyright 2016 The BigDL Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.intel.analytics.bigdl.nn
object ErrorInfo {
final val constrainInputAsVectorOrBatch =
"""
| The input to the layer needs to be a vector(or a mini-batch of vectors);
| please use the Reshape module to convert multi-dimensional input into vectors
| if appropriate"
""".stripMargin
final val constrainInputAs3DOrBatch =
"""
| The input to the layer needs to be a 3D tensor(or a mini-batch of 3D tensors);
| please use the Reshape module to convert multi-dimensional input into 3D tensors
| if appropriate"
""".stripMargin
final val constrainEachInputAsVectorOrBatch =
"""
| Each tensor contained in the input to the layer needs to be a vector
| (or a mini-batch of vectors);\n please use the Reshape module to convert
| multi-dimensional input into vectors if appropriate""".stripMargin
final val constrainInputDimSameAsTarget =
"""
| The dimensions of input and target to the criterion layer need to be the same;
| please use the Reshape module to convert if appropriate""".stripMargin
final val constrainInputSizeSameAsTarget =
"""
| The size of input and target to the criterion layer need to be the same;
| please use the Reshape module to convert if appropriate""".stripMargin
}