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qtensor/compression/cusz/include/cli/quality_viewer.hh
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/** | ||
* @file quality_viewer.hh | ||
* @author Jiannan Tian | ||
* @brief | ||
* @version 0.3 | ||
* @date 2022-04-09 | ||
* @deprecated 0.3.2 | ||
* | ||
* (C) 2022 by Washington State University, Argonne National Laboratory | ||
* | ||
*/ | ||
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#ifndef QUALITY_VIEWER_HH | ||
#define QUALITY_VIEWER_HH | ||
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// 22-11-20 would fail in cxxapi.cu if deleted | ||
#include <thrust/equal.h> | ||
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#include "../common/capsule.hh" | ||
#include "../common/definition.hh" | ||
#include "../header.h" | ||
#include "../stat/compare_gpu.hh" | ||
#include "verify.hh" | ||
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namespace cusz { | ||
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const static auto HOST = cusz::LOC::HOST; | ||
const static auto DEVICE = cusz::LOC::DEVICE; | ||
const static auto HOST_DEVICE = cusz::LOC::HOST_DEVICE; | ||
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struct QualityViewer { | ||
template <typename Data> | ||
static void print_metrics_cross(cusz_stats* s, size_t compressed_bytes = 0, bool gpu_checker = false) | ||
{ | ||
auto checker = (not gpu_checker) ? string("(using CPU checker)") : string("(using GPU checker)"); | ||
auto bytes = (s->len * sizeof(Data) * 1.0); | ||
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auto println = [](const char* s, double n1, double n2, double n3, double n4) { | ||
printf(" %-10s %16.8g %16.8g %16.8g %16.8g\n", s, n1, n2, n3, n4); | ||
}; | ||
auto printhead = [](const char* s1, const char* s2, const char* s3, const char* s4, const char* s5) { | ||
printf(" \e[1m\e[31m%-10s %16s %16s %16s %16s\e[0m\n", s1, s2, s3, s4, s5); | ||
}; | ||
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auto is_fp = std::is_same<Data, float>::value or std::is_same<Data, double>::value ? const_cast<char*>("yes") | ||
: const_cast<char*>("no"); | ||
printf("\nquality metrics %s:\n", checker.c_str()); | ||
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printhead("", "data-len", "data-byte", "fp-type?", ""); | ||
printf(" %-10s %16zu %16lu %16s\n", "", s->len, sizeof(Data), is_fp); | ||
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printhead("", "min", "max", "rng", "std"); | ||
println("origin", s->odata.min, s->odata.max, s->odata.rng, s->odata.std); | ||
println("eb-lossy", s->xdata.min, s->xdata.max, s->xdata.rng, s->xdata.std); | ||
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printhead("", "abs-val", "abs-idx", "pw-rel", "VS-RNG"); | ||
println("max-error", s->max_err.abs, s->max_err.idx, s->max_err.pwrrel, s->max_err.rel); | ||
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printhead("", "CR", "NRMSE", "cross-cor", "PSNR"); | ||
println("metrics", bytes / compressed_bytes, s->reduced.NRMSE, s->reduced.coeff, s->reduced.PSNR); | ||
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// printf("\n"); | ||
}; | ||
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static void print_metrics_auto(double* lag1_cor, double* lag2_cor) | ||
{ | ||
auto printhead = [](const char* s1, const char* s2, const char* s3, const char* s4, const char* s5) { | ||
printf(" \e[1m\e[31m%-10s %16s %16s %16s %16s\e[0m\n", s1, s2, s3, s4, s5); | ||
}; | ||
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printhead("", "lag1-cor", "lag2-cor", "", ""); | ||
printf(" %-10s %16lf %16lf\n", "auto", *lag1_cor, *lag2_cor); | ||
printf("\n"); | ||
}; | ||
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template <typename T> | ||
static void echo_metric_gpu(T* reconstructed, T* origin, size_t len, size_t compressed_bytes = 0) | ||
{ | ||
// cross | ||
auto stat_x = new cusz_stats; | ||
psz::thrustgpu_assess_quality<T>(stat_x, reconstructed, origin, len); | ||
print_metrics_cross<T>(stat_x, compressed_bytes, true); | ||
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auto stat_auto_lag1 = new cusz_stats; | ||
psz::thrustgpu_assess_quality<T>(stat_auto_lag1, origin, origin + 1, len - 1); | ||
auto stat_auto_lag2 = new cusz_stats; | ||
psz::thrustgpu_assess_quality<T>(stat_auto_lag2, origin, origin + 2, len - 2); | ||
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print_metrics_auto(&stat_auto_lag1->reduced.coeff, &stat_auto_lag2->reduced.coeff); | ||
} | ||
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template <typename T> | ||
static void echo_metric_cpu(T* _d1, T* _d2, size_t len, size_t compressed_bytes = 0, bool from_device = true) | ||
{ | ||
auto stat = new cusz_stats; | ||
T* reconstructed; | ||
T* origin; | ||
if (not from_device) { | ||
reconstructed = _d1; | ||
origin = _d2; | ||
} | ||
else { | ||
printf("allocating tmp space for CPU verification\n"); | ||
auto bytes = sizeof(T) * len; | ||
cudaMallocHost(&reconstructed, bytes); | ||
cudaMallocHost(&origin, bytes); | ||
cudaMemcpy(reconstructed, _d1, bytes, cudaMemcpyDeviceToHost); | ||
cudaMemcpy(origin, _d2, bytes, cudaMemcpyDeviceToHost); | ||
} | ||
cusz::verify_data<T>(stat, reconstructed, origin, len); | ||
print_metrics_cross<T>(stat, compressed_bytes, false); | ||
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auto stat_auto_lag1 = new cusz_stats; | ||
verify_data<T>(stat_auto_lag1, origin, origin + 1, len - 1); | ||
auto stat_auto_lag2 = new cusz_stats; | ||
verify_data<T>(stat_auto_lag2, origin, origin + 2, len - 2); | ||
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print_metrics_auto(&stat_auto_lag1->reduced.coeff, &stat_auto_lag2->reduced.coeff); | ||
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if (from_device) { | ||
if (reconstructed) cudaFreeHost(reconstructed); | ||
if (origin) cudaFreeHost(origin); | ||
} | ||
} | ||
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template <typename T> | ||
static void load_origin(string const& fname, Capsule<T>& origin) | ||
{ | ||
origin.mallochost().malloc().fromfile(fname); | ||
} | ||
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template <typename T> | ||
static void view(header_t header, Capsule<T>& xdata, Capsule<T>& cmp, string const& compare) | ||
{ | ||
auto len = ConfigHelper::get_uncompressed_len(header); | ||
auto compressd_bytes = ConfigHelper::get_filesize(header); | ||
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auto compare_on_gpu = [&]() { | ||
cmp.mallochost().malloc().fromfile(compare).host2device(); | ||
echo_metric_gpu(xdata.dptr(), cmp.dptr(), len, compressd_bytes); | ||
cmp.freehost().free(); | ||
}; | ||
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auto compare_on_cpu = [&]() { | ||
cmp.mallochost().fromfile(compare); | ||
xdata.device2host(); | ||
echo_metric_cpu(xdata.hptr(), cmp.hptr(), len, compressd_bytes); | ||
cmp.freehost(); | ||
}; | ||
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if (compare != "") { | ||
auto gb = 1.0 * sizeof(T) * len / 1e9; | ||
if (gb < 0.8) | ||
compare_on_gpu(); | ||
else | ||
compare_on_cpu(); | ||
} | ||
} | ||
}; | ||
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} // namespace cusz | ||
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#endif | ||
/** | ||
* @file quality_viewer.hh | ||
* @author Jiannan Tian | ||
* @brief | ||
* @version 0.3 | ||
* @date 2022-04-09 | ||
* @deprecated 0.3.2 | ||
* | ||
* (C) 2022 by Washington State University, Argonne National Laboratory | ||
* | ||
*/ | ||
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#ifndef QUALITY_VIEWER_HH | ||
#define QUALITY_VIEWER_HH | ||
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// 22-11-20 would fail in cxxapi.cu if deleted | ||
#include <thrust/equal.h> | ||
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#include "../common/capsule.hh" | ||
#include "../common/definition.hh" | ||
#include "../header.h" | ||
#include "../stat/compare_gpu.hh" | ||
#include "verify.hh" | ||
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namespace cusz { | ||
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const static auto HOST = cusz::LOC::HOST; | ||
const static auto DEVICE = cusz::LOC::DEVICE; | ||
const static auto HOST_DEVICE = cusz::LOC::HOST_DEVICE; | ||
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struct QualityViewer { | ||
template <typename Data> | ||
static void print_metrics_cross(cusz_stats* s, size_t compressed_bytes = 0, bool gpu_checker = false) | ||
{ | ||
auto checker = (not gpu_checker) ? string("(using CPU checker)") : string("(using GPU checker)"); | ||
auto bytes = (s->len * sizeof(Data) * 1.0); | ||
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auto println = [](const char* s, double n1, double n2, double n3, double n4) { | ||
printf(" %-10s %16.8g %16.8g %16.8g %16.8g\n", s, n1, n2, n3, n4); | ||
}; | ||
auto printhead = [](const char* s1, const char* s2, const char* s3, const char* s4, const char* s5) { | ||
printf(" \e[1m\e[31m%-10s %16s %16s %16s %16s\e[0m\n", s1, s2, s3, s4, s5); | ||
}; | ||
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auto is_fp = std::is_same<Data, float>::value or std::is_same<Data, double>::value ? const_cast<char*>("yes") | ||
: const_cast<char*>("no"); | ||
printf("\nquality metrics %s:\n", checker.c_str()); | ||
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printhead("", "data-len", "data-byte", "fp-type?", ""); | ||
printf(" %-10s %16zu %16lu %16s\n", "", s->len, sizeof(Data), is_fp); | ||
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printhead("", "min", "max", "rng", "std"); | ||
println("origin", s->odata.min, s->odata.max, s->odata.rng, s->odata.std); | ||
println("eb-lossy", s->xdata.min, s->xdata.max, s->xdata.rng, s->xdata.std); | ||
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printhead("", "abs-val", "abs-idx", "pw-rel", "VS-RNG"); | ||
println("max-error", s->max_err.abs, s->max_err.idx, s->max_err.pwrrel, s->max_err.rel); | ||
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printhead("", "CR", "NRMSE", "cross-cor", "PSNR"); | ||
println("metrics", bytes / compressed_bytes, s->reduced.NRMSE, s->reduced.coeff, s->reduced.PSNR); | ||
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// printf("\n"); | ||
}; | ||
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static void print_metrics_auto(double* lag1_cor, double* lag2_cor) | ||
{ | ||
auto printhead = [](const char* s1, const char* s2, const char* s3, const char* s4, const char* s5) { | ||
printf(" \e[1m\e[31m%-10s %16s %16s %16s %16s\e[0m\n", s1, s2, s3, s4, s5); | ||
}; | ||
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printhead("", "lag1-cor", "lag2-cor", "", ""); | ||
printf(" %-10s %16lf %16lf\n", "auto", *lag1_cor, *lag2_cor); | ||
printf("\n"); | ||
}; | ||
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template <typename T> | ||
static void echo_metric_gpu(T* reconstructed, T* origin, size_t len, size_t compressed_bytes = 0) | ||
{ | ||
// cross | ||
auto stat_x = new cusz_stats; | ||
psz::thrustgpu_assess_quality<T>(stat_x, reconstructed, origin, len); | ||
print_metrics_cross<T>(stat_x, compressed_bytes, true); | ||
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auto stat_auto_lag1 = new cusz_stats; | ||
psz::thrustgpu_assess_quality<T>(stat_auto_lag1, origin, origin + 1, len - 1); | ||
auto stat_auto_lag2 = new cusz_stats; | ||
psz::thrustgpu_assess_quality<T>(stat_auto_lag2, origin, origin + 2, len - 2); | ||
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print_metrics_auto(&stat_auto_lag1->reduced.coeff, &stat_auto_lag2->reduced.coeff); | ||
} | ||
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template <typename T> | ||
static void echo_metric_cpu(T* _d1, T* _d2, size_t len, size_t compressed_bytes = 0, bool from_device = true) | ||
{ | ||
auto stat = new cusz_stats; | ||
T* reconstructed; | ||
T* origin; | ||
if (not from_device) { | ||
reconstructed = _d1; | ||
origin = _d2; | ||
} | ||
else { | ||
printf("allocating tmp space for CPU verification\n"); | ||
auto bytes = sizeof(T) * len; | ||
cudaMallocHost(&reconstructed, bytes); | ||
cudaMallocHost(&origin, bytes); | ||
cudaMemcpy(reconstructed, _d1, bytes, cudaMemcpyDeviceToHost); | ||
cudaMemcpy(origin, _d2, bytes, cudaMemcpyDeviceToHost); | ||
} | ||
cusz::verify_data<T>(stat, reconstructed, origin, len); | ||
print_metrics_cross<T>(stat, compressed_bytes, false); | ||
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auto stat_auto_lag1 = new cusz_stats; | ||
verify_data<T>(stat_auto_lag1, origin, origin + 1, len - 1); | ||
auto stat_auto_lag2 = new cusz_stats; | ||
verify_data<T>(stat_auto_lag2, origin, origin + 2, len - 2); | ||
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print_metrics_auto(&stat_auto_lag1->reduced.coeff, &stat_auto_lag2->reduced.coeff); | ||
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if (from_device) { | ||
if (reconstructed) cudaFreeHost(reconstructed); | ||
if (origin) cudaFreeHost(origin); | ||
} | ||
} | ||
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template <typename T> | ||
static void load_origin(string const& fname, Capsule<T>& origin) | ||
{ | ||
origin.mallochost().malloc().fromfile(fname); | ||
} | ||
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template <typename T> | ||
static void view(header_t header, Capsule<T>& xdata, Capsule<T>& cmp, string const& compare) | ||
{ | ||
auto len = ConfigHelper::get_uncompressed_len(header); | ||
auto compressd_bytes = ConfigHelper::get_filesize(header); | ||
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auto compare_on_gpu = [&]() { | ||
cmp.mallochost().malloc().fromfile(compare).host2device(); | ||
echo_metric_gpu(xdata.dptr(), cmp.dptr(), len, compressd_bytes); | ||
cmp.freehost().free(); | ||
}; | ||
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auto compare_on_cpu = [&]() { | ||
cmp.mallochost().fromfile(compare); | ||
xdata.device2host(); | ||
echo_metric_cpu(xdata.hptr(), cmp.hptr(), len, compressd_bytes); | ||
cmp.freehost(); | ||
}; | ||
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if (compare != "") { | ||
auto gb = 1.0 * sizeof(T) * len / 1e9; | ||
if (gb < 0.8) | ||
compare_on_gpu(); | ||
else | ||
compare_on_cpu(); | ||
} | ||
} | ||
}; | ||
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} // namespace cusz | ||
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#endif |
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