630 lines
19 KiB
Plaintext
Executable File
630 lines
19 KiB
Plaintext
Executable File
group Root {
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class = Root
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group DSP Benchmarks {
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class = DSPBenchmarks
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folder = DSP
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group Statistics Benchmarks {
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class = Stats
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folder = Stats
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suite Statistics Benchmarks F16 {
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class = StatsF16
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folder = StatsF16
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ParamList {
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NB
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Summary NB
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Names "NB Samples"
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Formula "NB"
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}
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Pattern INPUT1_F16_ID : InputBench1_f16.txt
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Pattern INPUT2_F16_ID : InputBench2_f16.txt
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Output OUT_F16_ID : Output
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Output OUT_S16_ID : Index
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Output TMP_F16_ID : Temp
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Params PARAM1_ID = {
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A = [16,32,64,128,256]
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}
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Functions {
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Vector maximum:test_max_f16
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Vector average:test_mean_f16
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Vector minimum:test_min_f16
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Vector energy:test_power_f16
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Vector root mean square:test_rms_f16
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Vector standard deviation:test_std_f16
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Vector variance:test_var_f16
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Entropy:test_entropy_f16
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Vector logsumexp:test_logsumexp_f16
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Kullback Leibler divergence:test_kullback_leibler_f16
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Vector logsumexp dot product:test_logsumexp_dot_prod_f16
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Vector max with no index:test_max_no_idx_f16
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Vector absolute maximum:test_absmax_f16
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Vector absolute minimum:test_absmin_f16
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} -> PARAM1_ID
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}
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}
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group Basic Maths {
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class = BasicBenchmarks
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folder = BasicMaths
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suite Basic Maths Benchmarks F16 {
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class = BasicMathsBenchmarksF16
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folder = BasicMathsF16
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ParamList {
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NB
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Summary NB
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Names "NB Samples"
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Formula "NB"
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}
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Pattern INPUT1_F16_ID : Input1_f16.txt
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Pattern INPUT2_F16_ID : Input2_f16.txt
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Output OUT_SAMPLES_F16_ID : Output
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Params PARAM1_ID = {
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A = [16,32,64,128,256]
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}
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Functions {
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Elementwise multiplication:vec_mult_f16
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Vector addition:vec_add_f16
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Vector substraction:vec_sub_f16
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Elementwise absolute value:vec_abs_f16
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Elementwise negation:vec_negate_f16
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Elementwise offset:vec_offset_f16
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Vector scaling:vec_scale_f16
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Dot product:vec_dot_f16
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} -> PARAM1_ID
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}
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}
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group Complex Maths {
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class = ComplexBenchmarks
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folder = ComplexMaths
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suite ComplexMaths Benchmarks F16 {
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class = ComplexMathsBenchmarksF16
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folder = ComplexMathsF16
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ParamList {
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NB
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Summary NB
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Names "NB Samples"
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Formula "NB"
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}
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Pattern INPUT1_F16_ID : Input1_f16.txt
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Pattern INPUT2_F16_ID : Input2_f16.txt
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Pattern INPUT3_F16_ID : Input3_f16.txt
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Output OUT_SAMPLES_F16_ID : Output
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Params PARAM1_ID = {
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A = [16,32,64,128,256]
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}
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Functions {
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Elementwise conjugate:vec_conj_f16
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Complex dot product:vec_dot_prod_f16
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Elementwise modulus:vec_mag_f16
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Elementwise modulus squared:vec_mag_squared_f16
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Elementwise complex multiplication:vec_mult_cmplx_f16
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Vector scaling by real number:vec_mult_real_f16
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} -> PARAM1_ID
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}
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}
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group Filtering {
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class = DSPFiltering
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folder = Filtering
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group FIR {
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class = FIR
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folder = FIR
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suite FIR F16 {
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class = FIRF16
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folder = FIRF16
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ParamList {
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NumTaps, NB
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Summary NumTaps, NB
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Names "Number of taps","Number of samples"
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Formula "NumTaps * NB"
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}
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Pattern SAMPLES1_F16_ID : Samples1_f16.txt
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Pattern REFS1_F16_ID : Refs1_f16.txt
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Pattern COEFS1_F16_ID : Coefs1_f16.txt
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Output OUT_SAMPLES_F16_ID : Output
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Output STATE_F16_ID : State
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Output ERR_F16_ID : Err
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Params PARAM1_ID = {
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NumTaps = [16,32,64]
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NB = [64,128,256]
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}
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Functions {
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FIR Filter:test_fir_f16
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} -> PARAM1_ID
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}
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}
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group Convolutions / Correlations {
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class = MISC
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folder = MISC
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suite Convolutions / Correlations F16 {
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class = MISCF16
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folder = MISCF16
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ParamList {
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NBA, NBB
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Summary NBA, NBB
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Names "Number of samples A,Number of samples B"
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Formula "NBA * NBB"
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}
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Pattern INPUTSA1_F16_ID : InputsA1_f16.txt
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Pattern INPUTSB1_F16_ID : InputsB1_f16.txt
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Output OUT_SAMPLES_F16_ID : Output
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Params PARAM1_ID = {
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NBA = [9,16,64]
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NBB = [9,16,128]
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}
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Functions {
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disabled{Convolution:test_conv_f16}
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Correlation:test_correlate_f16
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} -> PARAM1_ID
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}
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}
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group BiQuads {
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class = BIQUAD
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folder = BIQUAD
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suite BiQuads F16 {
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class = BIQUADF16
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folder = BIQUADF16
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ParamList {
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NumStages, NB
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Summary NumStages, NB
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Names "Number of stages","Number of samples"
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Formula "NumStages * NB"
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}
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Pattern SAMPLES1_F16_ID : Samples1_f16.txt
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Pattern COEFS1_F16_ID : Coefs1_f16.txt
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Output OUT_SAMPLES_F16_ID : Output
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Output STATE_F16_ID : State
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Output NEON_COEFS_F16_ID : NeonCoefs
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Params PARAM1_ID = {
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NumStages = [1,2,4]
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NB = [16,128,256]
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}
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Functions {
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Cascaded BiQuad Filter DF1:test_biquad_cascade_df1_f16
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Cascaded BiQuad Filter DF2T:test_biquad_cascade_df2T_f16
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Cascaded BiQuad Filter Stereo DF2T:test_biquad_cascade_stereo_df2T_f16
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} -> PARAM1_ID
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}
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}
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}
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group Fast Maths {
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class = FastMath
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folder = FastMath
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suite Fast Maths F16 {
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class = FastMathF16
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folder = FastMathF16
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ParamList {
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NB
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Summary NB
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Names "Number of samples"
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Formula "NB"
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}
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Pattern SAMPLES_F16_ID : Samples1_f16.txt
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Output OUT_SAMPLES_F16_ID : Output
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Params PARAM1_ID = {
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NB = [64,128,256]
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}
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Functions {
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disabled{Cosine:test_cos_f16}
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disabled{Sine:test_sin_f16}
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Square Root:test_sqrt_f16
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} -> PARAM1_ID
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}
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}
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group Bayes{
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class = Bayes
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folder = Bayes
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suite Bayes F16 {
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class = BayesF16
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folder = BayesF16
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ParamList {
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VECDIM,NBCLASSES
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Summary VECDIM,NBCLASSES
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Names "Vector dimension","Number of classes"
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Formula "VECDIM*NBCLASSES"
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}
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Pattern DIMS2_S16_ID : DimsBench2_s16.txt
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Pattern INPUTS2_F16_ID : Inputs2_f16.txt
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Pattern PARAMS2_F16_ID : Params2_f16.txt
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Pattern PREDICTS2_S16_ID : Predicts2_s16.txt
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Output OUT_PROBA_F16_ID : Probas
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Output OUT_PREDICT_S16_ID : Predicts
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// Must be consistent with the Python script
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Params PARAM1_ID = {
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VECDIM = [12,14,20]
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NBCLASSES = [3,5,4]
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}
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Functions {
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Naive Gaussian Bayes Predictor:test_gaussian_naive_bayes_predict_f16
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} -> PARAM1_ID
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}
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}
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group Distance {
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class = Distance
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folder = Distance
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suite Distance F16 {
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class = DistanceF16
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folder = DistanceF16
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ParamList {
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NB
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Summary NB
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Names "NB Samples"
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Formula "NB"
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}
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Pattern INPUTA_F16_ID : InputBenchA1_f16.txt
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Pattern INPUTB_F16_ID : InputBenchB1_f16.txt
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Pattern INPUTA_PROBA_F16_ID : InputBenchProbaA1_f16.txt
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Pattern INPUTB_PROBA_F16_ID : InputBenchProbaB1_f16.txt
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Output TMPA_F16_ID : TmpA
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Output TMPB_F16_ID : TmpB
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Params PARAM1_ID = {
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NB = [16,32,64,128,256]
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}
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Functions {
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Bray Curtis distance:test_braycurtis_distance_f16
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Canberra distance:test_canberra_distance_f16
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Chebyshev distance:test_chebyshev_distance_f16
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Cityblock distance:test_cityblock_distance_f16
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Correlation distance:test_correlation_distance_f16
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Cosine distance:test_cosine_distance_f16
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Euclidean distance:test_euclidean_distance_f16
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Jensen Shannon distance:test_jensenshannon_distance_f16
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Minkowski distance:test_minkowski_distance_f16
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} -> PARAM1_ID
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}
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}
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group SVM {
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class = SVM
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folder = SVM
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suite SVM F16 {
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class = SVMF16
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folder = SVMF16
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ParamList {
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VECDIM,NBVECS
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Summary VECDIM,NBVECS
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Names "Vector dimension","Number of suppot vectors"
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Formula "VECDIM*NBVECS"
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}
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Pattern INPUT_F16_ID : InputsBench6_f16.txt
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Pattern DIMS_LINEAR_S16_ID : DimsLinear6_s16.txt
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Pattern PARAMS_LINEAR_F16_ID : ParamsLinear6_f16.txt
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Pattern DIMS_POLY_S16_ID : DimsPoly6_s16.txt
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Pattern PARAMS_POLY_F16_ID : ParamsPoly6_f16.txt
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Pattern DIMS_RBF_S16_ID : DimsRBF6_s16.txt
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Pattern PARAMS_RBF_F16_ID : ParamsRBF6_f16.txt
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Pattern DIMS_SIGMOID_S16_ID : DimsSigmoid6_s16.txt
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Pattern PARAMS_SIGMOID_F16_ID : ParamsSigmoid6_f16.txt
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Output OUT_S32_ID : Output
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// Must be consistent with the Python script
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Params PARAM1_ID = {
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VECDIM = [16,32,64]
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NBVECS = [8,16,32]
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}
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Functions {
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Linear SVM:test_svm_linear_predict_f16
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Polynomial SVM:test_svm_polynomial_predict_f16
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RBF SVM:test_svm_rbf_predict_f16
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Sigmoid SVM:test_svm_sigmoid_predict_f16
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} -> PARAM1_ID
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}
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}
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group Barycenter {
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class = Barycenter
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suite Barycenter {
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class = SupportBarF16
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folder = SupportBarF16
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ParamList {
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NB,VECDIM
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Summary NB,VECDIM
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Names "Number of samples","Vector dimension"
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Formula "NB*VECDIM"
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}
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Pattern SAMPLES_F16_ID : Samples1_f16.txt
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Pattern COEFS_F16_ID : Coefs1_f16.txt
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Output OUT_SAMPLES_F16_ID : Output
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Params PARAM1_ID = {
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NB = [16,64,128]
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VECDIM = [5,10,15]
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}
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Functions {
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Barycenter:test_barycenter_f16
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} -> PARAM1_ID
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}
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}
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group Support Functions {
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class = Support
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folder = Support
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suite Support Functions F16 {
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class = SupportF16
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folder = SupportF16
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ParamList {
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NB
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Summary NB
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Names "Number of samples"
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Formula "NB"
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}
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Pattern SAMPLES_F32_ID : Samples1_f32.txt
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Pattern SAMPLES_F16_ID : Samples11_f16.txt
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Pattern SAMPLES_Q15_ID : Samples3_q15.txt
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Pattern INPUTS6_F16_ID : Inputs6_f16.txt
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Pattern WEIGHTS6_F16_ID : Weights6_f16.txt
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Pattern REF6_F16_ID : Ref6_f16.txt
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Output OUT_SAMPLES_F16_ID : Output
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Params PARAM1_ID = {
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NB = [64,128,256]
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}
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Functions {
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Vector Copy:test_copy_f16
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Vector Filling:test_fill_f16
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Elementwise q15 to f16:test_q15_to_f16
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Elementwise f32 to f16:test_f32_to_f16
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Weighted sum:test_weighted_sum_f16
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} -> PARAM1_ID
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}
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}
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group Matrix {
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class = Matrix
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folder = Matrix
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group Matrix Operators with one matrix size {
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class = Unary
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folder = Unary
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suite Unary Matrix Operators F16 {
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class = UnaryF16
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folder = UnaryF16
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ParamList {
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NBR,NBC
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Summary NBR,NBC
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Names "Number of rows","Number of columns"
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Formula "NBR*NBC"
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}
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Pattern INPUTA_F16_ID : InputA1_f16.txt
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Pattern INPUTAC_F16_ID : InputAC1_f16.txt
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Pattern INPUTVEC1_F16_ID : InputVec1_f16.txt
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Pattern DIMSCHOLESKY1_DPO_S16_ID : DimsCholeskyDPO1_s16.txt
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Pattern DIMSCHOLESKY1_SDPO_S16_ID : DimsCholeskySDPO1_s16.txt
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Pattern INPUTSCHOLESKY1_DPO_F16_ID : InputCholeskyDPO1_f16.txt
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Pattern INPUTSCHOLESKY1_SDPO_F16_ID : InputCholeskySDPO1_f16.txt
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Pattern REFCHOLESKY1_DPO_F16_ID : RefCholeskyDPO1_f16.txt
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Pattern REFLDLT_D_DPO1_F16_ID : RefLDLT_D_DPO1_f16.txt
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Pattern REFLDLT_LL_DPO1_F16_ID : RefLDLT_LL_DPO1_f16.txt
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Pattern REFLDLT_PERM_DPO1_F16_ID : RefLDLT_PERM_DPO1_s16.txt
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Pattern REFLDLT_D_SDPO1_F16_ID : RefLDLT_D_SDPO1_f16.txt
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Pattern REFLDLT_LL_SDPO1_F16_ID : RefLDLT_LL_SDPO1_f16.txt
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Pattern REFLDLT_PERM_SDPO1_F16_ID : RefLDLT_PERM_SDPO1_s16.txt
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Pattern INPUT_UT_DPO_F16_ID : InputUTDPO1_f16.txt
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Pattern INPUT_LT_DPO_F16_ID : InputLTDPO1_f16.txt
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Pattern INPUT_RNDA_DPO_F16_ID : InputRNDA1_f16.txt
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Pattern REF_UTINV_DPO_F16_ID : Ref_UTINV_DPO1_f16.txt
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Pattern REF_LTINV_DPO_F16_ID : Ref_LTINV_DPO1_f16.txt
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Pattern REF_CHOLINV_DPO_F16_ID : Ref_CHOLINV_DPO1_f16.txt
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Output TMPA_F16_ID : TempA
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Output TMPB_F16_ID : TempB
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Output OUT_F16_ID : Output
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Params PARAM1_ID = {
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NBR = [5,10,40]
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NBC = [5,10,40]
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}
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Params PARAM_CHOLESKY_ID : ParamsCholesky1.txt
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Functions {
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Matrix Scaling:test_mat_scale_f16
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Matrix Inversion:test_mat_inverse_f16
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Matrix Transpose:test_mat_trans_f16
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Matrix Addition:test_mat_add_f16
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Matrix Substraction:test_mat_sub_f16
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Matrix Vector Multiplication:test_mat_vec_mult_f16
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Matrix Complex Transpose:test_mat_cmplx_trans_f16
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Cholesky decomposition:test_mat_cholesky_dpo_f16 -> PARAM_CHOLESKY_ID
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Backward substitution:test_solve_upper_triangular_f16 -> PARAM_CHOLESKY_ID
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Foward substitution:test_solve_lower_triangular_f16 -> PARAM_CHOLESKY_ID
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} -> PARAM1_ID
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}
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}
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group Matrix Operators with two matrix sizes {
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class = Binary
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folder = Binary
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suite Binary Matrix Operators F16 {
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class = BinaryF16
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folder = BinaryF16
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ParamList {
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NBR,NBI,NBC
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Summary NBR,NBI,NBC
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Names "Number of rows","Inner dimensions","Number of columns"
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Formula "NBR*NBI*NBC"
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}
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Pattern INPUTA_F16_ID : InputA1_f16.txt
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Pattern INPUTB_F16_ID : InputB1_f16.txt
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Pattern INPUTAC_F16_ID : InputAC1_f16.txt
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Pattern INPUTBC_F16_ID : InputBC1_f16.txt
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Output OUT_F16_ID : Output
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Params PARAM1_ID = {
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NBR = [5,10,40]
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NBI = [5,10,40]
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NBC = [5,10,40]
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}
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Functions {
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Matrix Multiplication:test_mat_mult_f16
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Complex Matrix Multiplication:test_mat_cmplx_mult_f16
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} -> PARAM1_ID
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}
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}
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}
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group Spectral Transformations {
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class = Transform
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folder = Transform
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suite Spectral Transformations F16 {
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class = TransformF16
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folder = TransformF16
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ParamList {
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NB,IFFT,BITREV
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Summary NB
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Names "Number of samples,Inverse FFT, Bit Reversal"
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Formula "I(NB*log2(NB))"
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}
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Pattern INPUTR_F16_ID : RealInputSamples19_f16.txt
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Pattern INPUTC_F16_ID : ComplexInputSamples_Noisy_512_6_f16.txt
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Output OUT_F16_ID : Temp
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Output TMP_F16_ID : Output
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Output STATE_F16_ID : Output
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Params CFFT_PARAM_ID = {
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NB = [64,128,256]
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IFFT = [0,1]
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REV = [0,1]
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}
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Params CFFT4_PARAM_ID = {
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NB = [16,64,256]
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IFFT = [0,1]
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REV = [0,1]
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}
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Params RFFT_PARAM_ID = {
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NB = [64,128,256]
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IFFT = [0,1]
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REV = [1]
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}
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Functions {
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Complex FFT:test_cfft_f16 -> CFFT_PARAM_ID
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Real FFT:test_rfft_f16 -> RFFT_PARAM_ID
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Scalar Radix 4 Complex FFT:test_cfft_radix4_f16 -> CFFT4_PARAM_ID
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Scalar Radix 2 Complex FFT:test_cfft_radix2_f16 -> CFFT_PARAM_ID
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}
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}
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}
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}
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}
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