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Details: - Implemented support for gemm where A, B, and C may have different storage datatypes, as well as a computational precision (and implied computation domain) that may be different from the storage precision of either A or B. This results in 128 different combinations, all which are implemented within this commit. (For now, the mixed-datatype functionality is only supported via the object API.) If desired, the mixed-datatype support may be disabled at configure-time. - Added a memory-intensive optimization to certain mixed-datatype cases that requires a single m-by-n matrix be allocated (temporarily) per call to gemm. This optimization aims to avoid the overhead involved in repeatedly updating C with general stride, or updating C after a typecast from the computation precision. This memory optimization may be disabled at configure-time (provided that the mixed-datatype support is enabled in the first place). - Added support for testing mixed-datatype combinations to testsuite. The user may test gemm with mixed domains, precisions, both, or neither. - Added a standalone test driver directory for building and running mixed-datatype performance experiments. - Defined a new variation of castm, castnzm, which operates like castm except that imaginary values are not touched when casting a real operand to a complex operand. (By contrast, in these situations castm sets the imaginary components of the destination matrix to zero.) - Defined bli_obj_imag_is_zero() and substituted calls in lieu of all usages of bli_obj_imag_equals() that tested against BLIS_ZERO, and also simplified the implementation of bli_obj_imag_equals(). - Fixed bad behavior from bli_obj_is_real() and bli_obj_is_complex() when given BLIS_CONSTANT objects. - Disabled dt_on_output field in auxinfo_t structure as well as all accessor functions. Also commented out all usage of accessor functions within macrokernels. (Typecasting in the microkernel is still feasible, though probably unrealistic for now given the additional complexity required.) - Use void function pointer type (instead of void*) for storing function pointers in bli_l0_fpa.c. - Added documentation for using gemm with mixed datatypes in docs/MixedDatatypes.md and example code in examples/oapi/11gemm_md.c. - Defined level-1d operation xpbyd and level-1m operation xpbym. - Added xpbym test module to testsuite. - Updated frame/include/bli_x86_asm_macros.h with additional macros (courtsey of Devin Matthews).
401 lines
12 KiB
C
401 lines
12 KiB
C
/*
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BLIS
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An object-based framework for developing high-performance BLAS-like
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libraries.
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Copyright (C) 2014, The University of Texas at Austin
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions are
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met:
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- Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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- Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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- Neither the name of The University of Texas at Austin nor the names
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of its contributors may be used to endorse or promote products
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derived from this software without specific prior written permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include "blis.h"
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#define FUNCPTR_T gemm_fp
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typedef void (*FUNCPTR_T)
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(
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pack_t schema_a,
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pack_t schema_b,
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dim_t m,
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dim_t n,
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dim_t k,
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void* alpha,
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void* a, inc_t cs_a, inc_t is_a,
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dim_t pd_a, inc_t ps_a,
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void* b, inc_t rs_b, inc_t is_b,
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dim_t pd_b, inc_t ps_b,
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void* beta,
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void* c, inc_t rs_c, inc_t cs_c,
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cntx_t* cntx,
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rntm_t* rntm,
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thrinfo_t* thread
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);
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static FUNCPTR_T GENARRAY(ftypes,gemm_ker_var2);
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void bli_gemm_ker_var2
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(
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obj_t* a,
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obj_t* b,
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obj_t* c,
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cntx_t* cntx,
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rntm_t* rntm,
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cntl_t* cntl,
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thrinfo_t* thread
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)
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{
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#ifdef BLIS_ENABLE_GEMM_MD
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// By now, A and B have been packed and cast to the execution precision.
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// In most cases, such as when storage precision of C differs from the
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// execution precision, we utilize the mixed datatype code path. However,
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// a few cases still fall within this kernel, such as mixed domain with
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// equal precision (ccr, crc, rcc), hence those expressions being disabled
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// in the conditional below.
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if ( //( bli_obj_domain( c ) != bli_obj_domain( a ) ) ||
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//( bli_obj_domain( c ) != bli_obj_domain( b ) ) ||
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( bli_obj_dt( c ) != bli_obj_exec_dt( c ) ) )
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{
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bli_gemm_ker_var2_md( a, b, c, cntx, rntm, cntl, thread );
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return;
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}
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#endif
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num_t dt_exec = bli_obj_exec_dt( c );
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pack_t schema_a = bli_obj_pack_schema( a );
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pack_t schema_b = bli_obj_pack_schema( b );
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dim_t m = bli_obj_length( c );
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dim_t n = bli_obj_width( c );
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dim_t k = bli_obj_width( a );
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void* buf_a = bli_obj_buffer_at_off( a );
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inc_t cs_a = bli_obj_col_stride( a );
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inc_t is_a = bli_obj_imag_stride( a );
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dim_t pd_a = bli_obj_panel_dim( a );
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inc_t ps_a = bli_obj_panel_stride( a );
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void* buf_b = bli_obj_buffer_at_off( b );
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inc_t rs_b = bli_obj_row_stride( b );
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inc_t is_b = bli_obj_imag_stride( b );
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dim_t pd_b = bli_obj_panel_dim( b );
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inc_t ps_b = bli_obj_panel_stride( b );
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void* buf_c = bli_obj_buffer_at_off( c );
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inc_t rs_c = bli_obj_row_stride( c );
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inc_t cs_c = bli_obj_col_stride( c );
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obj_t scalar_a;
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obj_t scalar_b;
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void* buf_alpha;
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void* buf_beta;
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FUNCPTR_T f;
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// Detach and multiply the scalars attached to A and B.
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bli_obj_scalar_detach( a, &scalar_a );
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bli_obj_scalar_detach( b, &scalar_b );
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bli_mulsc( &scalar_a, &scalar_b );
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// Grab the addresses of the internal scalar buffers for the scalar
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// merged above and the scalar attached to C.
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buf_alpha = bli_obj_internal_scalar_buffer( &scalar_b );
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buf_beta = bli_obj_internal_scalar_buffer( c );
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// If 1m is being employed on a column- or row-stored matrix with a
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// real-valued beta, we can use the real domain macro-kernel, which
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// eliminates a little overhead associated with the 1m virtual
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// micro-kernel.
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#if 1
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if ( bli_cntx_method( cntx ) == BLIS_1M )
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{
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bli_l3_ind_recast_1m_params
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(
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dt_exec,
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schema_a,
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c,
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m, n, k,
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pd_a, ps_a,
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pd_b, ps_b,
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rs_c, cs_c
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);
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}
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#endif
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#ifdef BLIS_ENABLE_GEMM_MD
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// Tweak parameters in select mixed domain cases cases.
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bli_gemm_md_ker_var2_recast
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(
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&dt_exec,
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bli_obj_dt( a ),
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bli_obj_dt( b ),
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bli_obj_dt( c ),
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&m, &n, &k,
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&pd_a, &ps_a,
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&pd_b, &ps_b,
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c,
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&rs_c, &cs_c
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);
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#endif
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// Index into the type combination array to extract the correct
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// function pointer.
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f = ftypes[dt_exec];
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// Invoke the function.
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f( schema_a,
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schema_b,
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m,
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n,
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k,
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buf_alpha,
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buf_a, cs_a, is_a,
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pd_a, ps_a,
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buf_b, rs_b, is_b,
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pd_b, ps_b,
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buf_beta,
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buf_c, rs_c, cs_c,
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cntx,
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rntm,
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thread );
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}
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#undef GENTFUNC
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#define GENTFUNC( ctype, ch, varname ) \
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\
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void PASTEMAC(ch,varname) \
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( \
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pack_t schema_a, \
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pack_t schema_b, \
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dim_t m, \
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dim_t n, \
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dim_t k, \
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void* alpha, \
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void* a, inc_t cs_a, inc_t is_a, \
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dim_t pd_a, inc_t ps_a, \
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void* b, inc_t rs_b, inc_t is_b, \
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dim_t pd_b, inc_t ps_b, \
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void* beta, \
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void* c, inc_t rs_c, inc_t cs_c, \
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cntx_t* cntx, \
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rntm_t* rntm, \
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thrinfo_t* thread \
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) \
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{ \
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const num_t dt = PASTEMAC(ch,type); \
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\
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/* Alias some constants to simpler names. */ \
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const dim_t MR = pd_a; \
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const dim_t NR = pd_b; \
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/*const dim_t PACKMR = cs_a;*/ \
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/*const dim_t PACKNR = rs_b;*/ \
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\
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/* Query the context for the micro-kernel address and cast it to its
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function pointer type. */ \
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PASTECH(ch,gemm_ukr_ft) \
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gemm_ukr = bli_cntx_get_l3_vir_ukr_dt( dt, BLIS_GEMM_UKR, cntx ); \
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\
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/* Temporary C buffer for edge cases. Note that the strides of this
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temporary buffer are set so that they match the storage of the
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original C matrix. For example, if C is column-stored, ct will be
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column-stored as well. */ \
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ctype ct[ BLIS_STACK_BUF_MAX_SIZE \
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/ sizeof( ctype ) ] \
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__attribute__((aligned(BLIS_STACK_BUF_ALIGN_SIZE))); \
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const bool_t col_pref = bli_cntx_l3_vir_ukr_prefers_cols_dt( dt, BLIS_GEMM_UKR, cntx ); \
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const inc_t rs_ct = ( col_pref ? 1 : NR ); \
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const inc_t cs_ct = ( col_pref ? MR : 1 ); \
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\
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ctype* restrict zero = PASTEMAC(ch,0); \
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ctype* restrict a_cast = a; \
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ctype* restrict b_cast = b; \
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ctype* restrict c_cast = c; \
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ctype* restrict alpha_cast = alpha; \
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ctype* restrict beta_cast = beta; \
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ctype* restrict b1; \
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ctype* restrict c1; \
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\
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dim_t m_iter, m_left; \
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dim_t n_iter, n_left; \
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dim_t i, j; \
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dim_t m_cur; \
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dim_t n_cur; \
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inc_t rstep_a; \
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inc_t cstep_b; \
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inc_t rstep_c, cstep_c; \
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auxinfo_t aux; \
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\
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/*
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Assumptions/assertions:
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rs_a == 1
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cs_a == PACKMR
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pd_a == MR
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ps_a == stride to next micro-panel of A
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rs_b == PACKNR
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cs_b == 1
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pd_b == NR
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ps_b == stride to next micro-panel of B
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rs_c == (no assumptions)
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cs_c == (no assumptions)
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*/ \
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\
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/* If any dimension is zero, return immediately. */ \
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if ( bli_zero_dim3( m, n, k ) ) return; \
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\
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/* Clear the temporary C buffer in case it has any infs or NaNs. */ \
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PASTEMAC(ch,set0s_mxn)( MR, NR, \
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ct, rs_ct, cs_ct ); \
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\
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/* Compute number of primary and leftover components of the m and n
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dimensions. */ \
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n_iter = n / NR; \
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n_left = n % NR; \
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\
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m_iter = m / MR; \
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m_left = m % MR; \
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\
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if ( n_left ) ++n_iter; \
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if ( m_left ) ++m_iter; \
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\
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/* Determine some increments used to step through A, B, and C. */ \
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rstep_a = ps_a; \
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\
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cstep_b = ps_b; \
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\
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rstep_c = rs_c * MR; \
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cstep_c = cs_c * NR; \
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\
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/* Save the pack schemas of A and B to the auxinfo_t object. */ \
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bli_auxinfo_set_schema_a( schema_a, &aux ); \
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bli_auxinfo_set_schema_b( schema_b, &aux ); \
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\
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/* Save the imaginary stride of A and B to the auxinfo_t object. */ \
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bli_auxinfo_set_is_a( is_a, &aux ); \
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bli_auxinfo_set_is_b( is_b, &aux ); \
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\
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/* Save the desired output datatype (indicating no typecasting). */ \
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/*bli_auxinfo_set_dt_on_output( dt, &aux );*/ \
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\
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thrinfo_t* caucus = bli_thrinfo_sub_node( thread ); \
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dim_t jr_num_threads = bli_thread_n_way( thread ); \
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dim_t jr_thread_id = bli_thread_work_id( thread ); \
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dim_t ir_num_threads = bli_thread_n_way( caucus ); \
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dim_t ir_thread_id = bli_thread_work_id( caucus ); \
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\
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/* Loop over the n dimension (NR columns at a time). */ \
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for ( j = jr_thread_id; j < n_iter; j += jr_num_threads ) \
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{ \
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ctype* restrict a1; \
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ctype* restrict c11; \
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ctype* restrict b2; \
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\
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b1 = b_cast + j * cstep_b; \
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c1 = c_cast + j * cstep_c; \
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\
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n_cur = ( bli_is_not_edge_f( j, n_iter, n_left ) ? NR : n_left ); \
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\
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/* Initialize our next panel of B to be the current panel of B. */ \
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b2 = b1; \
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\
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/* Loop over the m dimension (MR rows at a time). */ \
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for ( i = ir_thread_id; i < m_iter; i += ir_num_threads ) \
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{ \
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ctype* restrict a2; \
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\
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a1 = a_cast + i * rstep_a; \
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c11 = c1 + i * rstep_c; \
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\
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m_cur = ( bli_is_not_edge_f( i, m_iter, m_left ) ? MR : m_left ); \
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\
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/* Compute the addresses of the next panels of A and B. */ \
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a2 = bli_gemm_get_next_a_upanel( caucus, a1, rstep_a ); \
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if ( bli_is_last_iter( i, m_iter, ir_thread_id, ir_num_threads ) ) \
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{ \
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a2 = a_cast; \
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b2 = bli_gemm_get_next_b_upanel( thread, b1, cstep_b ); \
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if ( bli_is_last_iter( j, n_iter, jr_thread_id, jr_num_threads ) ) \
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b2 = b_cast; \
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} \
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\
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/* Save addresses of next panels of A and B to the auxinfo_t
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object. */ \
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bli_auxinfo_set_next_a( a2, &aux ); \
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bli_auxinfo_set_next_b( b2, &aux ); \
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\
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/* Handle interior and edge cases separately. */ \
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if ( m_cur == MR && n_cur == NR ) \
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{ \
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/* Invoke the gemm micro-kernel. */ \
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gemm_ukr \
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( \
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k, \
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alpha_cast, \
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a1, \
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b1, \
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beta_cast, \
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c11, rs_c, cs_c, \
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&aux, \
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cntx \
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); \
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} \
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else \
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{ \
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/* Invoke the gemm micro-kernel. */ \
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gemm_ukr \
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( \
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k, \
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alpha_cast, \
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a1, \
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b1, \
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zero, \
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ct, rs_ct, cs_ct, \
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&aux, \
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cntx \
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); \
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\
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/* Scale the bottom edge of C and add the result from above. */ \
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PASTEMAC(ch,xpbys_mxn)( m_cur, n_cur, \
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ct, rs_ct, cs_ct, \
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beta_cast, \
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c11, rs_c, cs_c ); \
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} \
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} \
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} \
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\
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/*
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PASTEMAC(ch,fprintm)( stdout, "gemm_ker_var2: b1", k, NR, b1, NR, 1, "%4.1f", "" ); \
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PASTEMAC(ch,fprintm)( stdout, "gemm_ker_var2: a1", MR, k, a1, 1, MR, "%4.1f", "" ); \
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PASTEMAC(ch,fprintm)( stdout, "gemm_ker_var2: c after", m_cur, n_cur, c11, rs_c, cs_c, "%4.1f", "" ); \
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*/ \
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}
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INSERT_GENTFUNC_BASIC0( gemm_ker_var2 )
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