Matrix-Matrix Product (General) (G Dataflow)

Operation this node performs on B.

Default: Direct

Operation this node performs on A.

Default: Direct

Matrix such that op(A) is an M × K matrix.

This input accepts the following data types:

• 2D array of double-precision, floating-point numbers
• 2D array of complex double-precision, floating-point numbers

Matrix such that op(B) is a K × N matrix.

This input accepts the following data types:

• 2D array of double-precision, floating-point numbers
• 2D array of complex double-precision, floating-point numbers

Matrix whose dimensions are greater than or equal to M × N. If C is an empty matrix, this node initializes C to be an M × N matrix with all elements set to 0.

This input accepts the following data types:

• 2D array of double-precision, floating-point numbers
• 2D array of complex double-precision, floating-point numbers

Error conditions that occur before this node runs.

The node responds to this input according to standard error behavior.

Standard Error Behavior

Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

error in does not contain an error	error in contains an error
If no error occurred before the node runs, the node begins execution normally. If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.	If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.

Default: No error

Scalar that scales op(A) * op(B).

This input accepts the following data types:

• Double-precision, floating-point numbers
• Complex double-precision, floating-point numbers

Default: The default value is 1 if alpha is a double-precision, floating-point number. The default value is 1+0i if alpha is a complex double-precision, floating-point number.

Scalar that scales C.

This input accepts the following data types:

• Double-precision, floating-point number
• Complex double-precision, floating-point numbers

Default: The default value is 1 if beta is a double-precision, floating-point number. The default value is 1+0i if beta is a complex double-precision, floating-point number.

Matrix of the same dimensions as C.

For elements of the first M rows and N columns, dgemm returns the result of alpha * op(A) * op(B) + beta * C. For any remaining elements, dgemm returns the value of the element in C with the same index.

This output is available only if you wire a 2D array of double-precision, floating-point numbers to A, B, or C.

Matrix of the same dimensions as C.

For elements of the first M rows and N columns, zgemm returns the result of alpha * op(A) * op(B) + beta * C. For any remaining elements, zgemm returns the value of the element in C with the same index.

This output is available only if you wire a 2D array of complex double-precision, floating-point numbers to A, B, or C.

Error information.

The node produces this output according to standard error behavior.

Standard Error Behavior

Many nodes provide an error in input and an error out output so that the node can respond to and communicate errors that occur while code is running. The value of error in specifies whether an error occurred before the node runs. Most nodes respond to values of error in in a standard, predictable way.

error in does not contain an error	error in contains an error
If no error occurred before the node runs, the node begins execution normally. If no error occurs while the node runs, it returns no error. If an error does occur while the node runs, it returns that error information as error out.	If an error occurred before the node runs, the node does not execute. Instead, it returns the error in value as error out.