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https://github.com/ggerganov/llama.cpp.git
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debug: make common_debug_print_tensor readable (#19331)
* debug: make common_debug_print_tensor readable * editorconfig
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@@ -45,6 +45,8 @@ static float common_ggml_get_float_value(const uint8_t * data,
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return v;
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}
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#define INDENT " "
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template <bool abort>
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void common_debug_print_tensor(uint8_t * data, ggml_type type, const int64_t * ne, const size_t * nb, int64_t n) {
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GGML_ASSERT(n > 0);
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@@ -60,41 +62,41 @@ void common_debug_print_tensor(uint8_t * data, ggml_type type, const int64_t * n
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}
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}
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for (int64_t i3 = 0; i3 < ne[3]; i3++) {
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LOG_ERR(" [\n");
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LOG(INDENT "[\n");
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for (int64_t i2 = 0; i2 < ne[2]; i2++) {
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if (i2 == n && ne[2] > 2 * n) {
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LOG_ERR(" ..., \n");
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LOG(INDENT INDENT "..., \n");
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i2 = ne[2] - n;
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}
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LOG_ERR(" [\n");
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LOG(INDENT INDENT "[\n");
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for (int64_t i1 = 0; i1 < ne[1]; i1++) {
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if (i1 == n && ne[1] > 2 * n) {
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LOG_ERR(" ..., \n");
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LOG(INDENT INDENT INDENT "..., \n");
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i1 = ne[1] - n;
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}
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LOG_ERR(" [");
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LOG(INDENT INDENT INDENT "[");
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for (int64_t i0 = 0; i0 < ne[0]; i0++) {
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if (i0 == n && ne[0] > 2 * n) {
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LOG_ERR("..., ");
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LOG(" ..., ");
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i0 = ne[0] - n;
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}
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const float v = common_ggml_get_float_value(data, type, nb, i0, i1, i2, i3);
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LOG_ERR("%12.4f", v);
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LOG("%12.4f", v);
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if (i0 < ne[0] - 1) {
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LOG_ERR(", ");
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LOG(", ");
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}
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}
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LOG_ERR("],\n");
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LOG(" ],\n");
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}
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LOG_ERR(" ],\n");
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LOG(INDENT INDENT "],\n");
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}
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LOG_ERR(" ]\n");
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LOG_ERR(" sum = %f\n", sum);
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LOG(INDENT "]\n");
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LOG(INDENT "sum = %f\n", sum);
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}
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if constexpr (abort) {
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if (std::isnan(sum)) {
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LOG_ERR("encountered NaN - aborting\n");
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LOG("encountered NaN - aborting\n");
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exit(0);
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}
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}
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@@ -137,7 +139,7 @@ template <bool abort_on_nan> bool common_debug_cb_eval(struct ggml_tensor * t, b
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}
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if (matches_filter) {
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LOG_ERR("%s: %24s = (%s) %10s(%s{%s}, %s}) = {%s}\n", __func__, t->name, ggml_type_name(t->type),
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LOG("%s: %24s = (%s) %10s(%s{%s}, %s}) = {%s}\n", __func__, t->name, ggml_type_name(t->type),
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ggml_op_desc(t), src0->name, common_ggml_ne_string(src0).c_str(), src1 ? src1_str : "",
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common_ggml_ne_string(t).c_str());
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}
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