338A          ; mapped                 ; 0070 0066     # 1.1  SQUARE PF
338B          ; mapped                 ; 006E 0066     # 1.1  SQUARE NF
338C          ; mapped                 ; 03BC 0066     # 1.1  SQUARE MU F
338D          ; mapped                 ; 03BC 0067     # 1.1  SQUARE MU G
338E          ; mapped                 ; 006D 0067     # 1.1  SQUARE MG
338F          ; mapped                 ; 006B 0067     # 1.1  SQUARE KG

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def TF_CholeskyOp : TF_Op<"Cholesky", [Pure]> {
  let summary = [{
Computes the Cholesky decomposition of one or more square matrices.
  }];

  let description = [{
The input is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions
form square matrices.

The input has to be symmetric and positive definite. Only the lower-triangular

		{"NumError.Func", Field, 0},
		{"NumError.Num", Field, 0},
		{"ParseBool", Func, 0},
		{"ParseComplex", Func, 15},
		{"ParseFloat", Func, 0},
		{"ParseInt", Func, 0},
		{"ParseUint", Func, 0},
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		{"QuoteRuneToASCII", Func, 0},
		{"QuoteRuneToGraphic", Func, 6},
		{"QuoteToASCII", Func, 0},
		{"QuoteToGraphic", Func, 6},
		{"QuotedPrefix", Func, 17},