nd4j-backends/nd4j-api-parent/nd4j-api/src/main/java/org/nd4j/linalg/api/blas/impl/BaseLevel2.java
@Override
    public void trmv(char order, char Uplo, char TransA, char Diag, INDArray A, INDArray X) {
        if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
            OpProfiler.getInstance().processBlasCall(false, A, X);

        // FIXME: int cast

        if (A.data().dataType() == DataBuffer.Type.DOUBLE) {
            DefaultOpExecutioner.validateDataType(DataBuffer.Type.DOUBLE, A, X);
            dtrmv(order, Uplo, TransA, Diag, (int) X.length(), A, (int) A.size(0), X, X.majorStride());
        } else {
            DefaultOpExecutioner.validateDataType(DataBuffer.Type.FLOAT, A, X);
            strmv(order, Uplo, TransA, Diag, (int) X.length(), A, (int) A.size(0), X, X.majorStride());
        }

        OpExecutionerUtil.checkForAny(X);
    }
@Override
    public void trmv(char order, char Uplo, char TransA, char Diag, INDArray A, INDArray X) {
        if (Nd4j.getExecutioner().getProfilingMode() == OpExecutioner.ProfilingMode.ALL)
            OpProfiler.getInstance().processBlasCall(false, A, X);

        // FIXME: int cast

        if (A.data().dataType() == DataBuffer.Type.DOUBLE) {
            DefaultOpExecutioner.validateDataType(DataBuffer.Type.DOUBLE, A, X);
            dtrmv(order, Uplo, TransA, Diag, (int) X.length(), A, (int) A.size(0), X, X.majorStride());
        } else {
            DefaultOpExecutioner.validateDataType(DataBuffer.Type.FLOAT, A, X);
            strmv(order, Uplo, TransA, Diag, (int) X.length(), A, (int) A.size(0), X, X.majorStride());
        }

        OpExecutionerUtil.checkForAny(X);
    }
trmv computes a matrix-vector product using a triangular matrix.

@param order
@param Uplo
@param TransA
@param Diag
@param A
@param X