Spell corrections

Ironwood/Ironwood_Microbenchmarks_readme.md

@@ -71,7 +71,7 @@ kubectl get nodes
 
 ### Deploying a single host job
 
-Create a job manifest to run `2x2x1` microbenchmarks (`tpu7x-2x2x1-micobenchmarks.yaml`):
+Create a job manifest to run `2x2x1` microbenchmarks (`tpu7x-2x2x1-microbenchmarks.yaml`):
 
 ```yaml
 apiVersion: v1
@@ -112,7 +112,7 @@ spec:
 Deploy the 2x2x1 microbenchmarks:
 
 ```bash
-kubectl apply -f tpu7x-2x2x1-micobenchmarks.yaml
+kubectl apply -f tpu7x-2x2x1-microbenchmarks.yaml
 ```
 
 Monitor the results:
@@ -129,7 +129,7 @@ kubectl delete pod tpu7x-single-host-microbenchmark
 
 ### Deploying a multi host job
 
-Create a job manifest to run `4x4x4` microbenchmarks (`tpu7x-4x4x4-micobenchmarks.yaml`):
+Create a job manifest to run `4x4x4` microbenchmarks (`tpu7x-4x4x4-microbenchmarks.yaml`):
 
 ```yaml
 apiVersion: v1
@@ -193,7 +193,7 @@ spec:
 Deploy the 4x4x4 microbenchmarks:
 
 ```bash
-kubectl apply -f tpu7x-4x4x4-micobenchmarks.yaml
+kubectl apply -f tpu7x-4x4x4-microbenchmarks.yaml
 ```
 
 List all the jobs in the pod to get the name of a job:
@@ -210,7 +210,7 @@ kubectl logs tpu7x-multi-host-microbenchmark-0-XXXXX
 Cleanup the job:
 
 ```bash
-kubectl delete -f tpu7x-4x4x4-micobenchmarks.yaml
+kubectl delete -f tpu7x-4x4x4-microbenchmarks.yaml
 ```
 
 ## Microbenchmark scripts
@@ -267,4 +267,4 @@ Examples can be found in the YAML files under config/ directory.
 
 If you wish to generate the xprof profile, set this parameter in the YAML file:
 * `trace_dir`: Dumps the xprof profile to either a local location or GCS bucket.
-Examples can be found in the YAML files under config/ directory.
+Examples can be found in the YAML files under config/ directory.

Ironwood/src/benchmark_compute.py

@@ -127,7 +127,7 @@ def quantization(
     OUT<M, N>:FP8, SF<M>:FP32 = Quantize(N<M, N>:BF16)
     SF[i] = FP8_MAX / amax(IN[i])
     OUT[i] = cast_fp8(IN[i] / SF[i])
-    Dymaic scaling with absmax calibration method
+    Dynamic scaling with absmax calibration method
     """
 
     def f(x):

Ironwood/src/benchmark_utils.py

@@ -588,7 +588,7 @@ def find_sparsecore_usage_from_xplane(log_dir: str) -> xplane_pb2.XSpace:
 
 
 def get_metrics_from_trace(trace: dict[str, Any], task: str) -> list[float]:
-    # Check if the given task name is a collective with corresponding TPU opertion.
+    # Check if the given task name is a collective with corresponding TPU operation.
     # This is a workaround and should be reverted or refactored in future.
     if task in TARGET_TASK_NAME_COLLECTIVES_MAP:
         try:

src/benchmark_collectives.py

@@ -199,7 +199,7 @@ def psum_benchmark_calculate_metrics(
     matrix_size_gbyte = matrix_dim * matrix_dim * dtype.dtype.itemsize / 1e9
     # Calculate metrics for DCN benchmark
     if dcn_size > 1 and dcn_time_ms_list is not None:
-        # bandwidth is claculated as psum can be done via reduce_scatter +
+        # bandwidth is calculated as psum can be done via reduce_scatter +
         # all_gather so bandwidth is the sum of the two (formulas below)
         dcn_bandwidth_gbyte_s_list = [
                 matrix_size_gbyte