microwatt/tests/test_fpu.console_out

test 01:PASS
test 02:PASS
test 03:PASS
test 04:PASS
test 05:PASS
test 06:PASS
test 07:PASS
test 08:PASS
test 09:PASS
test 10:PASS
test 11:PASS
test 12:PASS
test 13:PASS
test 14:PASS
test 15:PASS
test 16:PASS
test 17:PASS
test 18:PASS
tests: Add a test for FP loads and stores This tests that floating-point unavailable exceptions occur as expected on FP loads and stores, and that the simple FP loads and stores appear to give reasonable results. Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 01:PASS`
			`test 02:PASS`
tests/fpu: Add tests for lfs and stfs instructions This exercises the single-to-double and double-to-single conversions, including denormalized cases. Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 03:PASS`
tests/fpu: Add tests for basic FPSCR function and interrupt generation This tests mffs, mtfsf and the generation of floating-point type program interrupts that occur as a result of mtfsf. Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 04:PASS`
			`test 05:PASS`
FPU: Implement fmr and related instructions This implements fmr, fneg, fabs, fnabs and fcpsgn and adds tests for them. This adds logic to unpack and repack floating-point data from the 64-bit packed form (as stored in memory and the register file) into the unpacked form in the fpr_reg_type record. This is not strictly necessary for fmr et al., but will be useful for when we do actual arithmetic. Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 06:PASS`
FPU: Implement floating convert from integer instructions This implements fcfid, fcfidu, fcfids and fcfidus, which convert 64-bit integer values in an FPR into a floating-point value. This brings in a lot of the datapath that will be needed in future, including the shifter, adder, mask generator and count-leading-zeroes logic, along with the machinery for rounding to single-precision or double-precision, detecting inexact results, signalling inexact-result exceptions, and updating result flags in the FPSCR. Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 07:PASS`
tests/fpu: Add tests for frsp Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 08:PASS`
FPU: Implement floating convert to integer instructions This implements fctiw, fctiwz, fctiwu, fctiwuz, fctid, fctidz, fctidu and fctiduz, and adds tests for them. There are some subtleties around the setting of the inexact (XX) and invalid conversion (VXCVI) flags in the FPSCR. If the rounded value ends up being out of range, we need to set VXCVI and not XX. For a conversion to unsigned word or doubleword of a negative value that rounds to zero, we need to set XX and not VXCVI. Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 09:PASS`
			`test 10:PASS`
FPU: Implement floating round-to-integer instructions This implements frin, friz, frip and frim, and adds tests for them. Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 11:PASS`
FPU: Implement fmrgew and fmrgow and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 12:PASS`
FPU: Implement fadd[s] and fsub[s] and add tests for them Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 13:PASS`
			`test 14:PASS`
FPU: Implement fmul[s] This implements the fmul and fmuls instructions. For fmul[s] with denormalized operands we normalize the inputs before doing the multiplication, to eliminate the need for doing count-leading-zeroes on P. This adds 3 or 5 cycles to the execution time when one or both operands are denormalized. Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 15:PASS`
			`test 16:PASS`
FPU: Implement fdiv[s] This implements floating-point division A/B by a process that starts with normalizing both inputs if necessary. Then an estimate of 1/B from a lookup table is refined by 3 Newton-Raphson iterations and then multiplied by A to get a quotient. The remainder is calculated as A - R * B (where R is the result, i.e. the quotient) and the remainder is compared to 0 and to B to see whether the quotient needs to be incremented by 1. The calculations of 1 / B are done with 56 fraction bits and intermediate results are truncated rather than rounded, meaning that the final estimate of 1 / B is always correct or a little bit low, never too high, and thus the calculated quotient is correct or 1 unit too low. Doing the estimate of 1 / B with sufficient precision that the quotient is always correct to the last bit without needing any adjustment would require many more bits of precision. This implements fdivs by computing a double-precision quotient and then rounding it to single precision. It would be possible to optimize this by e.g. doing only 2 iterations of Newton-Raphson and then doing the remainder calculation and adjustment at single precision rather than double precision. Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 17:PASS`
FPU: Implement fre[s] This just returns the value from the inverse lookup table. The result is accurate to better than one part in 512 (the architecture requires 1/256). This also adds a simple test, which relies on the particular values in the inverse lookup table, so it is not a general test. Signed-off-by: Paul Mackerras <paulus@ozlabs.org> 4 years ago			`test 18:PASS`