FP8 roofline support (#592)

Adding FP8 datatype to roofline feature in rocprof-compute on MI300-based systems.
FP8 now shows in terminal output and roofline csv, and outputs a standalone PDF.

---------

Signed-off-by: Carrie Fallows <Carrie.Fallows@amd.com>
This commit is contained in:
cfallows-amd
2025-03-07 02:54:50 -05:00
committed by Vignesh Edithal
szülő f64c83fc5e
commit 848fa1dc18
8 fájl változott, egészen pontosan 42 új sor hozzáadva és 18 régi sor törölve
+3 -3
Fájl megtekintése
@@ -441,9 +441,9 @@ successfully.
.. note::
ROCm Compute Profiler generates two roofline outputs to organize results and reduce
clutter. One chart plots FP32/FP64 performance while the other plots I8/FP16
performance.
ROCm Compute Profiler generates three roofline outputs to organize results and reduce
clutter. One chart plots FP32/FP64 performance, one plots I8/FP16
performance, and the other plots FP8 performance.
The following image is a sample ``empirRoof_gpu-0_int8_fp16.pdf`` roofline
plot.
@@ -4,6 +4,9 @@ pmc: SQ_INSTS_VALU_ADD_F64 SQ_INSTS_VALU_MUL_F64 SQ_INSTS_VALU_FMA_F64 SQ_
pmc: SQ_LDS_IDX_ACTIVE SQ_LDS_BANK_CONFLICT TCP_TOTAL_CACHE_ACCESSES_sum TCP_TCC_WRITE_REQ_sum TCP_TCC_ATOMIC_WITH_RET_REQ_sum TCP_TCC_ATOMIC_WITHOUT_RET_REQ_sum
#ROOF:MI300
pmc: SQ_INSTS_VALU_MFMA_MOPS_F8
range:
gpu:
kernels:
+13
Fájl megtekintése
@@ -130,6 +130,9 @@ class Roofline:
dtype="I8",
fig=fp16_fig,
)
if self.__mspec.gpu_series != "MI200":
fig_fp8 = self.generate_plot(dtype="FP8")
# Create a legend and distinct kernel markers. This can be saved, optionally
self.__figure = go.Figure(
go.Scatter(
@@ -163,6 +166,11 @@ class Roofline:
self.__run_parameters["workload_dir"]
+ "/empirRoof_gpu-{}_int8_fp16.pdf".format(dev_id)
)
if self.__mspec.gpu_series != "MI200":
fig_fp8.write_image(
self.__run_parameters["workload_dir"]
+ "/empirRoof_gpu-{}_fp8.pdf".format(dev_id)
)
# only save a legend if kernel_names option is toggled
if self.__run_parameters["include_kernel_names"]:
self.__figure.write_image(
@@ -178,6 +186,11 @@ class Roofline:
self.__run_parameters["workload_dir"]
+ "/empirRoof_gpu-{}_int8_fp16.pdf".format(dev_id)
)
if self.__mspec.gpu_series != "MI200":
fig_fp8.write_image(
self.__run_parameters["workload_dir"]
+ "/empirRoof_gpu-{}_fp8.pdf".format(dev_id)
)
if self.__run_parameters["include_kernel_names"]:
self.__figure.write_image(
self.__run_parameters["workload_dir"] + "/kernelName_legend.pdf"
+22 -15
Fájl megtekintése
@@ -56,6 +56,7 @@ class AI_Data:
total_flops: float
valu_flops: float
mfma_flops_f8: float
mfma_flops_f16: float
mfma_flops_bf16: float
mfma_flops_f32: float
@@ -193,11 +194,11 @@ def calc_ai(mspec, sort_type, ret_df):
df = df.sort_values(by=["Kernel_Name"])
df = df.reset_index(drop=True)
total_flops = valu_flops = mfma_flops_bf16 = mfma_flops_f16 = mfma_iops_i8 = (
mfma_flops_f32
) = mfma_flops_f64 = lds_data = L1cache_data = L2cache_data = hbm_data = calls = (
totalDuration
) = avgDuration = 0.0
total_flops = valu_flops = mfma_flops_f8 = mfma_flops_bf16 = mfma_flops_f16 = (
mfma_iops_i8
) = mfma_flops_f32 = mfma_flops_f64 = lds_data = L1cache_data = L2cache_data = (
hbm_data
) = calls = totalDuration = avgDuration = 0.0
kernelName = ""
@@ -250,6 +251,8 @@ def calc_ai(mspec, sort_type, ret_df):
+ (df["SQ_INSTS_VALU_MFMA_MOPS_F32"][idx] * 512)
+ (df["SQ_INSTS_VALU_MFMA_MOPS_F64"][idx] * 512)
)
if mspec.gpu_series != "MI200":
total_flops += df["SQ_INSTS_VALU_MFMA_MOPS_F8"][idx] * 512
except KeyError:
console_debug(
"roofline",
@@ -288,6 +291,8 @@ def calc_ai(mspec, sort_type, ret_df):
pass
try:
if mspec.gpu_series != "MI200":
mfma_flops_f8 += df["SQ_INSTS_VALU_MFMA_MOPS_F8"][idx] * 512
mfma_flops_f16 += df["SQ_INSTS_VALU_MFMA_MOPS_F16"][idx] * 512
mfma_flops_bf16 += df["SQ_INSTS_VALU_MFMA_MOPS_BF16"][idx] * 512
mfma_flops_f32 += df["SQ_INSTS_VALU_MFMA_MOPS_F32"][idx] * 512
@@ -388,6 +393,7 @@ def calc_ai(mspec, sort_type, ret_df):
calls,
total_flops / calls,
valu_flops / calls,
mfma_flops_f8 / calls,
mfma_flops_f16 / calls,
mfma_flops_bf16 / calls,
mfma_flops_f32 / calls,
@@ -406,11 +412,11 @@ def calc_ai(mspec, sort_type, ret_df):
kernelName, idx, calls
)
)
total_flops = valu_flops = mfma_flops_bf16 = mfma_flops_f16 = mfma_iops_i8 = (
mfma_flops_f32
) = mfma_flops_f64 = lds_data = L1cache_data = L2cache_data = hbm_data = (
calls
) = totalDuration = avgDuration = 0.0
total_flops = valu_flops = mfma_flops_f8 = mfma_flops_bf16 = (
mfma_flops_f16
) = mfma_iops_i8 = mfma_flops_f32 = mfma_flops_f64 = lds_data = (
L1cache_data
) = L2cache_data = hbm_data = calls = totalDuration = avgDuration = 0.0
if sort_type == "dispatches":
myList.append(
@@ -419,6 +425,7 @@ def calc_ai(mspec, sort_type, ret_df):
calls,
total_flops,
valu_flops,
mfma_flops_f8,
mfma_flops_f16,
mfma_flops_bf16,
mfma_flops_f32,
@@ -432,11 +439,11 @@ def calc_ai(mspec, sort_type, ret_df):
avgDuration,
)
)
total_flops = valu_flops = mfma_flops_bf16 = mfma_flops_f16 = mfma_iops_i8 = (
mfma_flops_f32
) = mfma_flops_f64 = lds_data = L1cache_data = L2cache_data = hbm_data = (
calls
) = totalDuration = avgDuration = 0.0
total_flops = valu_flops = mfma_flops_f8 = mfma_flops_bf16 = (
mfma_flops_f16
) = mfma_iops_i8 = mfma_flops_f32 = mfma_flops_f64 = lds_data = (
L1cache_data
) = L2cache_data = hbm_data = calls = totalDuration = avgDuration = 0.0
myList.sort(key=lambda x: x.totalDuration, reverse=True)
Binary file not shown.
+1
Fájl megtekintése
@@ -121,6 +121,7 @@ ROOF_ONLY_FILES = sorted(
[
"empirRoof_gpu-0_fp32_fp64.pdf",
"empirRoof_gpu-0_int8_fp16.pdf",
"empirRoof_gpu-0_fp8.pdf",
"pmc_perf.csv",
"pmc_perf_0.csv",
"pmc_perf_1.csv",