RandomNormalLike - 1 vs 22

Next section compares an older to a newer version of the same operator after both definition are converted into markdown text.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. RandomNormalLike1 → RandomNormalLike22 +2 -2
RandomNormalLike1 → RandomNormalLike22 RENAMED
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  Generate a tensor with random values drawn from a normal distribution.
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  The shape of the output tensor is copied from the shape of the input tensor,
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  and the parameters of the normal distribution are specified by mean and scale.
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  The data type is specified by the 'dtype' argument, or copied from the input tensor if not provided.
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  The 'dtype' argument must be one of the data types specified in the 'DataType' enum field in the
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  TensorProto message, and be valid as an output type.
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  ### Attributes
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  * **dtype - INT** :
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  (Optional) The data type for the elements of the output tensor, if not specified, we will use the data type of the input tensor.
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  * **mean - FLOAT** (default is '0.0'):
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  The mean of the normal distribution.
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  * **scale - FLOAT** (default is '1.0'):
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  The standard deviation of the normal distribution.
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  * **seed - FLOAT** :
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  (Optional) Seed to the random generator, if not specified we will auto generate one.
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  ### Inputs
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  - **input** (heterogeneous) - **T1**:
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  Input tensor to copy shape and optionally type information from.
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  ### Outputs
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  - **output** (heterogeneous) - **T2**:
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  Output tensor of random values drawn from normal distribution
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  ### Type Constraints
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- * **T1** in ( tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):
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+ * **T1** in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ):
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  Constrain to any tensor type. If the dtype attribute is not provided this must be a valid output type.
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- * **T2** in ( tensor(double), tensor(float), tensor(float16) ):
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+ * **T2** in ( tensor(bfloat16), tensor(double), tensor(float), tensor(float16) ):
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  Constrain output types to float tensors.