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39 changes: 19 additions & 20 deletions src/maxdiffusion/train_utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -100,27 +100,26 @@ def write_metrics(writer, local_metrics_file, running_gcs_metrics, metrics, step

def write_metrics_to_tensorboard(writer, metrics, step, config):
"""Writes metrics to tensorboard"""
with jax.spmd_mode("allow_all"):
if jax.process_index() == 0:
for metric_name in metrics.get("scalar", []):
writer.add_scalar(metric_name, np.array(metrics["scalar"][metric_name]), step)
for metric_name in metrics.get("scalars", []):
writer.add_scalars(metric_name, metrics["scalars"][metric_name], step)

full_log = step % config.log_period == 0
if jax.process_index() == 0:
max_logging.log(
"completed step: {}, seconds: {:.3f}, TFLOP/s/device: {:.3f}, loss: {:.3f}".format(
step,
metrics["scalar"]["perf/step_time_seconds"],
metrics["scalar"]["perf/per_device_tflops_per_sec"],
float(metrics["scalar"]["learning/loss"]),
)
)
if jax.process_index() == 0:
for metric_name in metrics.get("scalar", []):
writer.add_scalar(metric_name, np.array(metrics["scalar"][metric_name]), step)
for metric_name in metrics.get("scalars", []):
writer.add_scalars(metric_name, metrics["scalars"][metric_name], step)

full_log = step % config.log_period == 0
if jax.process_index() == 0:
max_logging.log(
"completed step: {}, seconds: {:.3f}, TFLOP/s/device: {:.3f}, loss: {:.3f}".format(
step,
metrics["scalar"]["perf/step_time_seconds"],
metrics["scalar"]["perf/per_device_tflops_per_sec"],
float(metrics["scalar"]["learning/loss"]),
)
)

if full_log and jax.process_index() == 0:
max_logging.log(f"To see full metrics 'tensorboard --logdir={config.tensorboard_dir}'")
writer.flush()
if full_log and jax.process_index() == 0:
max_logging.log(f"To see full metrics 'tensorboard --logdir={config.tensorboard_dir}'")
writer.flush()


def get_params_to_save(params):
Expand Down
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