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@ -114,8 +114,11 @@ class CVMOpMaker : public framework::OpProtoAndCheckerMaker {
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AddAttr<bool>("use_cvm", "bool, use cvm or not").SetDefault(true);
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AddComment(R"DOC(
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CVM Operator.
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We assume that input is a embedding vector with cvm_feature(show and click), which shape is [N * D] (D is 2(cvm_feature) + embedding dim, N is batch_size)
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if use_cvm is True, we will log(cvm_feature), and output shape is [N * D].
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if use_cvm is False, we will remove cvm_feature from input, and output shape is [N * (D - 2)].
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example:
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Example:
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input = fluid.layers.data(name=\"input\", shape=[-1, 1], lod_level=1, append_batch_size=False, dtype=\"int64\")
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label = fluid.layers.data(name=\"label\", shape=[-1, 1], append_batch_size=False, dtype=\"int64\")
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