whisper : fix "bench-all outputs an invalid result on larger models"

The benchmark script 'scripts/bench-all.sh' assumes that the 11th
field of the output line is a timestamp. This assumption does not
hold when the target model takes a bit longer to process.

Fix this issue by introducing an explicit whitespace to the output
lines of `whisper_print_timings()`.

Signed-off-by: Fujimoto Seiji <[email protected]>

Author: fujimotos

src/whisper.cpp

@@ -4276,11 +4276,11 @@ void whisper_print_timings(struct whisper_context * ctx) {
 
         WHISPER_LOG_INFO("%s:     fallbacks = %3d p / %3d h\n", __func__, ctx->state->n_fail_p, ctx->state->n_fail_h);
         WHISPER_LOG_INFO("%s:      mel time = %8.2f ms\n", __func__, ctx->state->t_mel_us / 1000.0f);
-        WHISPER_LOG_INFO("%s:   sample time = %8.2f ms / %5d runs (%8.2f ms per run)\n", __func__, 1e-3f * ctx->state->t_sample_us, n_sample, 1e-3f * ctx->state->t_sample_us / n_sample);
-        WHISPER_LOG_INFO("%s:   encode time = %8.2f ms / %5d runs (%8.2f ms per run)\n", __func__, 1e-3f * ctx->state->t_encode_us, n_encode, 1e-3f * ctx->state->t_encode_us / n_encode);
-        WHISPER_LOG_INFO("%s:   decode time = %8.2f ms / %5d runs (%8.2f ms per run)\n", __func__, 1e-3f * ctx->state->t_decode_us, n_decode, 1e-3f * ctx->state->t_decode_us / n_decode);
-        WHISPER_LOG_INFO("%s:   batchd time = %8.2f ms / %5d runs (%8.2f ms per run)\n", __func__, 1e-3f * ctx->state->t_batchd_us, n_batchd, 1e-3f * ctx->state->t_batchd_us / n_batchd);
-        WHISPER_LOG_INFO("%s:   prompt time = %8.2f ms / %5d runs (%8.2f ms per run)\n", __func__, 1e-3f * ctx->state->t_prompt_us, n_prompt, 1e-3f * ctx->state->t_prompt_us / n_prompt);
+        WHISPER_LOG_INFO("%s:   sample time = %8.2f ms / %5d runs ( %8.2f ms per run)\n", __func__, 1e-3f * ctx->state->t_sample_us, n_sample, 1e-3f * ctx->state->t_sample_us / n_sample);
+        WHISPER_LOG_INFO("%s:   encode time = %8.2f ms / %5d runs ( %8.2f ms per run)\n", __func__, 1e-3f * ctx->state->t_encode_us, n_encode, 1e-3f * ctx->state->t_encode_us / n_encode);
+        WHISPER_LOG_INFO("%s:   decode time = %8.2f ms / %5d runs ( %8.2f ms per run)\n", __func__, 1e-3f * ctx->state->t_decode_us, n_decode, 1e-3f * ctx->state->t_decode_us / n_decode);
+        WHISPER_LOG_INFO("%s:   batchd time = %8.2f ms / %5d runs ( %8.2f ms per run)\n", __func__, 1e-3f * ctx->state->t_batchd_us, n_batchd, 1e-3f * ctx->state->t_batchd_us / n_batchd);
+        WHISPER_LOG_INFO("%s:   prompt time = %8.2f ms / %5d runs ( %8.2f ms per run)\n", __func__, 1e-3f * ctx->state->t_prompt_us, n_prompt, 1e-3f * ctx->state->t_prompt_us / n_prompt);
     }
     WHISPER_LOG_INFO("%s:    total time = %8.2f ms\n", __func__, (t_end_us - ctx->t_start_us)/1000.0f);
 }