Dropout - 6 vs 10#

Next section compares an older to a newer version of the same operator after both definition are converted into markdown text. Green means an addition to the newer version, red means a deletion. Anything else is unchanged.

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  1. Dropout6 → Dropout10 +10 -11
Dropout6 → Dropout10 RENAMED
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- Dropout takes one input floating tensor and produces two tensor outputs,
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+ Dropout takes one input data (Tensor<float>) and produces two Tensor outputs,
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- output (floating tensor) and mask (Tensor<bool>). Depending on whether it is
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+ output (Tensor<float>) and mask (Tensor<bool>). Depending on whether it is in
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- in test mode or not, the output Y will either be a random dropout, or a simple
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+ test mode or not, the output Y will either be a random dropout, or a simple
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  copy of the input. Note that our implementation of Dropout does scaling in
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  the training phase, so during testing nothing needs to be done.
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- This operator has **optional** inputs/outputs. See ONNX <https://github.com/onnx/onnx/blob/master/docs/IR.md>_ for more details about the representation of optional arguments. An empty string may be used in the place of an actual argument's name to indicate a missing argument. Trailing optional arguments (those not followed by an argument that is present) may also be simply omitted.
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  **Attributes**
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+ * **is_test**:
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+ (int, default 0) if nonzero, run dropout in test mode where the
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+ output is simply Y = X.
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  * **ratio**:
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- The ratio of random dropout
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+ (float, default 0.5) the ratio of random dropout
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  **Inputs**
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  * **data** (heterogeneous) - **T**:
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  The input data as Tensor.
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  **Outputs**
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  Between 1 and 2 outputs.
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  * **output** (heterogeneous) - **T**:
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  The output.
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- * **mask** (optional, heterogeneous) - **T1**:
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+ * **mask** (optional, heterogeneous) - **T**:
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- The output mask.
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+ The output mask. If is_test is nonzero, this output is not filled.
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  **Type Constraints**
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  * **T** in (
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  tensor(double),
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  tensor(float),
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  tensor(float16)
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  ):
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- Constrain input and output types to float tensors.
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+ Constrain input and output types to float tensors.- * **T1** in (
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- tensor(bool)
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- ):
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- Constrain output mask types to boolean tensors.