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Diffstat (limited to 'tmk_core/tool/mbed/mbed-sdk/libraries/dsp/cmsis_dsp/MatrixFunctions/arm_mat_mult_q15.c')
| -rw-r--r-- | tmk_core/tool/mbed/mbed-sdk/libraries/dsp/cmsis_dsp/MatrixFunctions/arm_mat_mult_q15.c | 469 |
1 files changed, 469 insertions, 0 deletions
diff --git a/tmk_core/tool/mbed/mbed-sdk/libraries/dsp/cmsis_dsp/MatrixFunctions/arm_mat_mult_q15.c b/tmk_core/tool/mbed/mbed-sdk/libraries/dsp/cmsis_dsp/MatrixFunctions/arm_mat_mult_q15.c new file mode 100644 index 0000000000..1e112ab777 --- /dev/null +++ b/tmk_core/tool/mbed/mbed-sdk/libraries/dsp/cmsis_dsp/MatrixFunctions/arm_mat_mult_q15.c @@ -0,0 +1,469 @@ +/* ---------------------------------------------------------------------- +* Copyright (C) 2010-2013 ARM Limited. All rights reserved. +* +* $Date: 17. January 2013 +* $Revision: V1.4.1 +* +* Project: CMSIS DSP Library +* Title: arm_mat_mult_q15.c +* +* Description: Q15 matrix multiplication. +* +* Target Processor: Cortex-M4/Cortex-M3/Cortex-M0 +* +* Redistribution and use in source and binary forms, with or without +* modification, are permitted provided that the following conditions +* are met: +* - Redistributions of source code must retain the above copyright +* notice, this list of conditions and the following disclaimer. +* - Redistributions in binary form must reproduce the above copyright +* notice, this list of conditions and the following disclaimer in +* the documentation and/or other materials provided with the +* distribution. +* - Neither the name of ARM LIMITED nor the names of its contributors +* may be used to endorse or promote products derived from this +* software without specific prior written permission. +* +* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS +* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE +* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, +* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, +* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT +* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN +* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE +* POSSIBILITY OF SUCH DAMAGE. +* -------------------------------------------------------------------- */ + +#include "arm_math.h" + +/** + * @ingroup groupMatrix + */ + +/** + * @addtogroup MatrixMult + * @{ + */ + + +/** + * @brief Q15 matrix multiplication + * @param[in] *pSrcA points to the first input matrix structure + * @param[in] *pSrcB points to the second input matrix structure + * @param[out] *pDst points to output matrix structure + * @param[in] *pState points to the array for storing intermediate results + * @return The function returns either + * <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking. + * + * @details + * <b>Scaling and Overflow Behavior:</b> + * + * \par + * The function is implemented using a 64-bit internal accumulator. The inputs to the + * multiplications are in 1.15 format and multiplications yield a 2.30 result. + * The 2.30 intermediate + * results are accumulated in a 64-bit accumulator in 34.30 format. This approach + * provides 33 guard bits and there is no risk of overflow. The 34.30 result is then + * truncated to 34.15 format by discarding the low 15 bits and then saturated to + * 1.15 format. + * + * \par + * Refer to <code>arm_mat_mult_fast_q15()</code> for a faster but less precise version of this function for Cortex-M3 and Cortex-M4. + * + */ + +arm_status arm_mat_mult_q15( + const arm_matrix_instance_q15 * pSrcA, + const arm_matrix_instance_q15 * pSrcB, + arm_matrix_instance_q15 * pDst, + q15_t * pState CMSIS_UNUSED) +{ + q63_t sum; /* accumulator */ + +#ifndef ARM_MATH_CM0_FAMILY + + /* Run the below code for Cortex-M4 and Cortex-M3 */ + + q15_t *pSrcBT = pState; /* input data matrix pointer for transpose */ + q15_t *pInA = pSrcA->pData; /* input data matrix pointer A of Q15 type */ + q15_t *pInB = pSrcB->pData; /* input data matrix pointer B of Q15 type */ + q15_t *px; /* Temporary output data matrix pointer */ + uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ + uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ + uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ + uint16_t numRowsB = pSrcB->numRows; /* number of rows of input matrix A */ + uint16_t col, i = 0u, row = numRowsB, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + +#ifndef UNALIGNED_SUPPORT_DISABLE + + q31_t in; /* Temporary variable to hold the input value */ + q31_t pSourceA1, pSourceB1, pSourceA2, pSourceB2; + +#else + + q15_t in; /* Temporary variable to hold the input value */ + q15_t inA1, inB1, inA2, inB2; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + +#ifdef ARM_MATH_MATRIX_CHECK + /* Check for matrix mismatch condition */ + if((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + { + /* Matrix transpose */ + do + { + /* Apply loop unrolling and exchange the columns with row elements */ + col = numColsB >> 2; + + /* The pointer px is set to starting address of the column being processed */ + px = pSrcBT + i; + + /* First part of the processing with loop unrolling. Compute 4 outputs at a time. + ** a second loop below computes the remaining 1 to 3 samples. */ + while(col > 0u) + { +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* Read two elements from the row */ + in = *__SIMD32(pInB)++; + + /* Unpack and store one element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) in; + +#else + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Unpack and store the second element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#else + + *px = (q15_t) in; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read two elements from the row */ + in = *__SIMD32(pInB)++; + + /* Unpack and store one element in the destination */ +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) in; + +#else + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Unpack and store the second element in the destination */ + +#ifndef ARM_MATH_BIG_ENDIAN + + *px = (q15_t) ((in & (q31_t) 0xffff0000) >> 16); + +#else + + *px = (q15_t) in; + +#endif /* #ifndef ARM_MATH_BIG_ENDIAN */ + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + +#else + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Read one element from the row */ + in = *pInB++; + + /* Store one element in the destination */ + *px = in; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Decrement the column loop counter */ + col--; + } + + /* If the columns of pSrcB is not a multiple of 4, compute any remaining output samples here. + ** No loop unrolling is used. */ + col = numColsB % 0x4u; + + while(col > 0u) + { + /* Read and store the input element in the destination */ + *px = *pInB++; + + /* Update the pointer px to point to the next row of the transposed matrix */ + px += numRowsB; + + /* Decrement the column loop counter */ + col--; + } + + i++; + + /* Decrement the row loop counter */ + row--; + + } while(row > 0u); + + /* Reset the variables for the usage in the following multiplication process */ + row = numRowsA; + i = 0u; + px = pDst->pData; + + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + do + { + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the transposed pSrcB data */ + pInB = pSrcBT; + + /* column loop */ + do + { + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Apply loop unrolling and compute 2 MACs simultaneously. */ + colCnt = numColsA >> 2; + + /* Initiate the pointer pIn1 to point to the starting address of the column being processed */ + pInA = pSrcA->pData + i; + + + /* matrix multiplication */ + while(colCnt > 0u) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ +#ifndef UNALIGNED_SUPPORT_DISABLE + + /* read real and imag values from pSrcA and pSrcB buffer */ + pSourceA1 = *__SIMD32(pInA)++; + pSourceB1 = *__SIMD32(pInB)++; + + pSourceA2 = *__SIMD32(pInA)++; + pSourceB2 = *__SIMD32(pInB)++; + + /* Multiply and Accumlates */ + sum = __SMLALD(pSourceA1, pSourceB1, sum); + sum = __SMLALD(pSourceA2, pSourceB2, sum); + +#else + /* read real and imag values from pSrcA and pSrcB buffer */ + inA1 = *pInA++; + inB1 = *pInB++; + inA2 = *pInA++; + /* Multiply and Accumlates */ + sum += inA1 * inB1; + inB2 = *pInB++; + + inA1 = *pInA++; + inB1 = *pInB++; + /* Multiply and Accumlates */ + sum += inA2 * inB2; + inA2 = *pInA++; + inB2 = *pInB++; + + /* Multiply and Accumlates */ + sum += inA1 * inB1; + sum += inA2 * inB2; + +#endif /* #ifndef UNALIGNED_SUPPORT_DISABLE */ + + /* Decrement the loop counter */ + colCnt--; + } + + /* process remaining column samples */ + colCnt = numColsA & 3u; + + while(colCnt > 0u) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + sum += *pInA++ * *pInB++; + + /* Decrement the loop counter */ + colCnt--; + } + + /* Saturate and store the result in the destination buffer */ + *px = (q15_t) (__SSAT((sum >> 15), 16)); + px++; + + /* Decrement the column loop counter */ + col--; + + } while(col > 0u); + + i = i + numColsA; + + /* Decrement the row loop counter */ + row--; + + } while(row > 0u); + +#else + + /* Run the below code for Cortex-M0 */ + + q15_t *pIn1 = pSrcA->pData; /* input data matrix pointer A */ + q15_t *pIn2 = pSrcB->pData; /* input data matrix pointer B */ + q15_t *pInA = pSrcA->pData; /* input data matrix pointer A of Q15 type */ + q15_t *pInB = pSrcB->pData; /* input data matrix pointer B of Q15 type */ + q15_t *pOut = pDst->pData; /* output data matrix pointer */ + q15_t *px; /* Temporary output data matrix pointer */ + uint16_t numColsB = pSrcB->numCols; /* number of columns of input matrix B */ + uint16_t numColsA = pSrcA->numCols; /* number of columns of input matrix A */ + uint16_t numRowsA = pSrcA->numRows; /* number of rows of input matrix A */ + uint16_t col, i = 0u, row = numRowsA, colCnt; /* loop counters */ + arm_status status; /* status of matrix multiplication */ + +#ifdef ARM_MATH_MATRIX_CHECK + + /* Check for matrix mismatch condition */ + if((pSrcA->numCols != pSrcB->numRows) || + (pSrcA->numRows != pDst->numRows) || (pSrcB->numCols != pDst->numCols)) + { + /* Set status as ARM_MATH_SIZE_MISMATCH */ + status = ARM_MATH_SIZE_MISMATCH; + } + else +#endif /* #ifdef ARM_MATH_MATRIX_CHECK */ + + { + /* The following loop performs the dot-product of each row in pSrcA with each column in pSrcB */ + /* row loop */ + do + { + /* Output pointer is set to starting address of the row being processed */ + px = pOut + i; + + /* For every row wise process, the column loop counter is to be initiated */ + col = numColsB; + + /* For every row wise process, the pIn2 pointer is set + ** to the starting address of the pSrcB data */ + pIn2 = pSrcB->pData; + + /* column loop */ + do + { + /* Set the variable sum, that acts as accumulator, to zero */ + sum = 0; + + /* Initiate the pointer pIn1 to point to the starting address of pSrcA */ + pIn1 = pInA; + + /* Matrix A columns number of MAC operations are to be performed */ + colCnt = numColsA; + + /* matrix multiplication */ + while(colCnt > 0u) + { + /* c(m,n) = a(1,1)*b(1,1) + a(1,2) * b(2,1) + .... + a(m,p)*b(p,n) */ + /* Perform the multiply-accumulates */ + sum += (q31_t) * pIn1++ * *pIn2; + pIn2 += numColsB; + + /* Decrement the loop counter */ + colCnt--; + } + + /* Convert the result from 34.30 to 1.15 format and store the saturated value in destination buffer */ + /* Saturate and store the result in the destination buffer */ + *px++ = (q15_t) __SSAT((sum >> 15), 16); + + /* Decrement the column loop counter */ + col--; + + /* Update the pointer pIn2 to point to the starting address of the next column */ + pIn2 = pInB + (numColsB - col); + + } while(col > 0u); + + /* Update the pointer pSrcA to point to the starting address of the next row */ + i = i + numColsB; + pInA = pInA + numColsA; + + /* Decrement the row loop counter */ + row--; + + } while(row > 0u); + +#endif /* #ifndef ARM_MATH_CM0_FAMILY */ + /* set status as ARM_MATH_SUCCESS */ + status = ARM_MATH_SUCCESS; + } + + /* Return to application */ + return (status); +} + +/** + * @} end of MatrixMult group + */ |