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* Support stride pooling for seqlastin and seqfirstin.
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* Expose seq_concat_layer/seq_reshape_layer in ` trainer_config_helpers ` .
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* Add data reader creator and data reader decorator for v2 API.
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+ * Add the cpu implementation of cmrnorm-projection.
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## Improvements
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* Add Relu in layer_math.py.
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* Add packages for automatically downloading public datasets.
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* Rename Argument::sumCost to Argument::sum since Argument does not have to have any relationship with cost.
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+ * Add a new ` TensorExpression ` implementation for matrix-related expression evaluations.
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+ * Add Lazy Assignment for optimize the calculation of multiple expressions.
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+ * Add ` Function ` to reconstruct the computation function.
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+ * PadFunc and PadGradFunc.
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+ * ContextProjectionForwardFunc and ContextProjectionBackwardFunc.
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+ * CosSimBackward and CosSimBackwardFunc.
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+ * CrossMapNormalFunc and CrossMapNormalGradFunc.
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+ * MulFunc.
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+ * Add ` AutoCompare ` and ` FunctionCompare ` , which make it easier to write unittest for comparing gpu and cpu version of a function.
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+ * Add ` libpaddle_test_main.a ` and remove the main function inside the test file.
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## Bug Fixes
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* Fix LogActivation which is not defined.
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* Fix bug when run test_layerHelpers multiple times.
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* Fix protobuf size limit on seq2seq demo.
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+ * Fix unit test of paramRelu.
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+ * Fix some warning about CpuSparseMatrix.
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+ * Fix MultiGradientMachine error if trainer_count > batch_size.
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# Release v0.9.0
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