Searched refs:dimensions (Results 1 – 11 of 11) sorted by relevance
| /cmsis-dsp-latest/dsppp/ |
| D | process.py | 13 dimensions = "?" variable
47 dimensions = l.strip("\n") variable
59 stats[test_name].append({"dim":dimensions,"cpp":cpp})
65 stats[test_name].append({"dim":dimensions,"cpp":cpp,"c":c})
68 stats[test_name].append({"dim":dimensions,"cpp":cpp})
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| /cmsis-dsp-latest/Documentation/Doxygen/src/ |
| D | memory_static_dynamic.md | 18 … compiler can thus generate an algorithm that is specialized for those dimensions and thus more ef…
24 If you need lots of objects of different dimensions, or if the dimensions are not known at build ti…
28 With dynamic objects, the dimension is know at runtime. So object of different dimensions have the …
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| D | memory_allocator.md | 44 For instance, often in DSP pipelines, the dimensions of the vectors and matrixes are fixed and know…
86 … as example in this library is only working with dimensions known at build time. For runtime dimen…
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| D | vectorop.md | 50 Vectors of different dimensions are considered as being different types.
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| D | matrix.md | 10 If the dimensions of the matrixes are not known at build time, you would instead write:
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| /cmsis-dsp-latest/Testing/FrameworkSource/ |
| D | FPGA.cpp | 54 int dimensions; member
349 gen.dimensions = nbParams; in ReadParameterList()
353 unsigned long kind,nbInputSamples,nbOutputSamples,dimensions,sample; in ReadParameterList() local
361 this->read32(&dimensions); in ReadParameterList()
377 gen.dimensions = dimensions; in ReadParameterList()
455 nbEntries = gen.nbInputSamples / gen.dimensions; in ImportParams()
465 len=gen.nbOutputSamples * gen.dimensions; in ImportParams()
470 switch(gen.dimensions) in ImportParams()
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| D | Semihosting.cpp | 53 int dimensions; member
170 gen.dimensions = nbParams; in ReadParameterList()
182 int kind,nbInputSamples,nbOutputSamples,dimensions,sample; in ReadParameterList() local
193 fscanf(this->infile,"%d\n",&dimensions); in ReadParameterList()
208 gen.dimensions = dimensions; in ReadParameterList()
536 nbEntries = len / gen.dimensions; in ImportParams()
554 len=gen.nbOutputSamples * gen.dimensions; in ImportParams()
559 switch(gen.dimensions) in ImportParams()
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| /cmsis-dsp-latest/Testing/TestScripts/ |
| D | CodeGen.py | 406 dimensions = len(parpath)
418 textFile.write(str(dimensions))
810 dimensions = len(parpath)
820 self._write32(dimensions,driverFile)
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| /cmsis-dsp-latest/Testing/ |
| D | bench.txt | 1546 Names "Number of rows","Inner dimensions","Number of columns"
1577 Names "Number of rows","Inner dimensions","Number of columns"
1610 Names "Number of rows","Inner dimensions","Number of columns"
1641 Names "Number of rows","Inner dimensions","Number of columns"
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| D | bench_f16.txt | 547 Names "Number of rows","Inner dimensions","Number of columns"
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| D | README.md | 108 For benchmarking, we may need to vary some dimensions of the tests (like input length).
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