49ce79a5b5
* MI300 Stochastic PC sampling SDK API implementation * ROCProfV3: Stochastic PC sampling Support (#94) * ROCProfV3: MI300 Stochastic PC sampling initial draft * ROCProfV3: Initial Stochastic PC sampling Tests (#95) ROCProfV3: Initial Stochastic PC sampling tests * Update rocprofiler_pc_sampling_record_stochastic_v0_t - update doxygen docs for members - replace rocprofiler_correlation_id_t with rocprofiler_async_correlation_id_t * Relax the check in JSON tests * drain PC sampling buffer during finalize_rocprofv3 * Increase timeout for "Test Install Build" step - 10 minutes -> 20 minutes - "Test Installed Packages" has 20 minutes so "Test Install Build" should also --------- Co-authored-by: Jonathan R. Madsen <jonathanrmadsen@gmail.com>
245 líneas
11 KiB
Python
245 líneas
11 KiB
Python
# MIT License
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#
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# Copyright (c) 2023-2025 Advanced Micro Devices, Inc. All rights reserved.
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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from __future__ import absolute_import
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import numpy as np
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import pandas as pd
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def validate_json_exec_mask_manipulation(
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data_json, pc_sampling_method="host_trap", all_sampled=False
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):
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# Although functional programming might look more elegant,
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# I was trying to avoid multiple iteration over the list of samples.
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# Thus, I decided to use procedural programming instead.
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# Although, it would be more elegant to wrap some of the checks in dedicated functions,
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# I noticed that it can introduce significant overhead, so I decided to inline those checks.
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# the function assume homogenous system
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agents = data_json["agents"]
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gpu_agents = list(filter(lambda agent: agent["type"] == 2, agents))
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# There should be at least one GPU agent
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assert len(gpu_agents) > 0
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first_gpu_agent = gpu_agents[0]
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num_xcc = first_gpu_agent["num_xcc"]
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max_waves_per_simd = first_gpu_agent["max_waves_per_simd"]
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simd_per_cu = first_gpu_agent["simd_per_cu"]
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instructions = data_json["strings"]["pc_sample_instructions"]
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comments = data_json["strings"]["pc_sample_comments"]
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# execution mask where even SIMD lanes are active
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# correspond to the v_rcp_f64 instructions of the last kernel
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even_simds_active_exec_mask = np.uint64(int("5555555555555555", 16))
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# start and end source code lines of the v_rcp_f64 instructions of the last kernel
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v_rcp_f64_start_line_num, v_rcp_f64_end_line_num = 288, 387
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# execution mask where even SIMD lanes are active
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# correspond to the v_rcp_f64 instructions of the last kernel
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odd_simds_active_exec_mask = np.uint64(int("AAAAAAAAAAAAAAAA", 16))
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# start and end source code lines of the v_rcp_f32 0 instructions of the last kernel
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v_rcp_f32_start_line_num, v_rcp_f32_end_line_num = 391, 490
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# sampled wave_ids of the last kernel
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kernel65_sampled_wave_in_grp = set()
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# sampled source lines of the last kernel matching v_rcp_f64 instructions
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kernel65_v_rcp_64_sampled_source_line_set = set()
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# sampled source lines of the last kernel matching v_rcp_f64 instructions
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kernel65_v_rcp_f32_sampled_source_line_set = set()
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# sampled correlation IDs
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sampled_cids_set = set()
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# pairs of sampled SIMD ids and waveslot IDs
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sampled_simd_waveslots_pairs = set()
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# sampled chiplets
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sampled_chiplets = set()
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# sample VMIDs
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sampled_vmids = set()
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# TODO: Similar reason for introducing stochastic_assert inside the csv.py.
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# When asserting certain conditions related to exec_masks for all samples,
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# we observe some failures.
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# This usually happens because some small number of samples (e.g., 1-10 out of 100k)
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# do not satisfy the condition. This is either a regression in the ROCr 2nd level trap
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# handler (as sometimes execution mask or correlation ID mismatches), or
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# just stochastic nature of the sampling (meaning our checks are too strict).
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# To relax checks, we introduce an assertion that will allow some small number
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# of samples to disobey the condition.
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# This is a temporary solution until we find the root cause of the issue.
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failing_exec_mask_checks_samples_num = 0
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# We noticed failing samples in:
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# 1. kernels 1-64
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# 2. kernel 65 even SIMD lanes
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# 3. kernel 64 odd SIMD lanes
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# The number of failing samples is less than 10 per category.
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max_number_of_failing_records = 30
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for sample in data_json["buffer_records"][f"pc_sample_{pc_sampling_method}"]:
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record = sample["record"]
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cid = record["corr_id"]["internal"]
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# pull information from hw_id
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hw_id = record["hw_id"]
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sampled_chiplets.add(hw_id["chiplet"])
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sampled_simd_waveslots_pairs.add((hw_id["simd_id"], hw_id["wave_id"]))
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sampled_vmids.add(hw_id["vm_id"])
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# Checks specific for all samples
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# cids must be non-negative numbers
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assert cid >= 0
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inst_index = sample["inst_index"]
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# Since we're not enabling any kind of API tracing, the internal correlation id should
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# be equal to the dispatch_id
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assert cid == record["dispatch_id"]
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if cid == 0:
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# Samples originates either from a blit kernel or self-modifying code.
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# Thus, code object is uknown, as well as the instruction.
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assert record["pc"]["code_object_id"] == 0
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assert inst_index == -1
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else:
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# Update set of sampled cids
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sampled_cids_set.add(cid)
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# All samples with non-zero correlation ID should pass the following checks
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# code object is know, so as the instruction
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assert record["pc"]["code_object_id"] != 0
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assert inst_index != -1
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wgid = record["wrkgrp_id"]
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# check corrdinates of the workgroup
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assert wgid["x"] >= 0 and wgid["x"] <= 1023
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assert wgid["y"] == 0
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assert wgid["z"] == 0
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wave_in_grp = record["wave_in_grp"]
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exec_mask = record["exec_mask"]
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if cid < 65:
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# checks specific for samples from first 64 kernels
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assert wave_in_grp == 0
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# inline if possible
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# validate_json_exec_mask_based_on_cid(sample.record)
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# The function assumes that each kernel launches 1024 blocks.
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# Each block contains number of threads that matches correlation ID of the kernel.
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# The exec mask of a sample should contain number of ones equal to
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# the correlation ID of the kernel during which execution the sample was generated.
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# assert bin(exec_mask).count("1") == cid
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if bin(exec_mask).count("1") != cid:
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failing_exec_mask_checks_samples_num += 1
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# TODO: Comment out the following code if it causes spurious fails.
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# The more conservative constraint based on the experience follows.
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# The exec mask of sampled instructions of the kernels respect the following pattern:
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# cid -> exec
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# 1 -> 0b1
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# 2 -> 0b11
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# 3 -> 0b111
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# ...
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# 64 -> 0xffffffffffffffff
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exec_mask_str = "0b" + "1" * cid
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# assert np.uint64(exec_mask) == np.uint64(int(exec_mask_str, 2))
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if np.uint64(exec_mask) != np.uint64(int(exec_mask_str, 2)):
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failing_exec_mask_checks_samples_num += 1
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else:
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# No more that 65 cids
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assert cid == 65
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# Monitor wave_in_group being sampled
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kernel65_sampled_wave_in_grp.add(wave_in_grp)
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# chekcs specific for samples from the last kernel
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assert wave_in_grp >= 0 and wave_in_grp <= 3
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# validate instruction decoding
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inst = instructions[inst_index]
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comm = comments[inst_index]
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# The instruction comment is isually in the following format:
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# /path/to/source/file.cpp:line_num
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line_num = int(comm.split(":")[-1])
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if inst.startswith("v_rcp_f64"):
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# even SIMD lanes active
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# assert np.uint64(exec_mask) == even_simds_active_exec_mask
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if np.uint64(exec_mask) != even_simds_active_exec_mask:
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failing_exec_mask_checks_samples_num += 1
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assert (
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line_num >= v_rcp_f64_start_line_num
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and line_num <= v_rcp_f64_end_line_num
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)
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kernel65_v_rcp_64_sampled_source_line_set.add(line_num)
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elif inst.startswith("v_rcp_f32"):
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# odd SIMD lanes active
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# assert np.uint64(exec_mask) == odd_simds_active_exec_mask
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if np.uint64(exec_mask) != odd_simds_active_exec_mask:
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failing_exec_mask_checks_samples_num += 1
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assert (
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line_num >= v_rcp_f32_start_line_num
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and line_num <= v_rcp_f32_end_line_num
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)
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kernel65_v_rcp_f32_sampled_source_line_set.add(line_num)
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if all_sampled:
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# All cids that belongs to the range [1, 65] should be samples
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assert len(sampled_cids_set) == 65
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# all wave_ids that belongs to the range [0, 3] should be sampled for the last kernel
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assert len(kernel65_sampled_wave_in_grp) == 4
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# all source lines matches v_rcp_f64 instructions of the last kernel should be sampled
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assert len(kernel65_v_rcp_64_sampled_source_line_set) == (
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v_rcp_f64_end_line_num - v_rcp_f64_start_line_num + 1
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)
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# all source lines matches v_rcp_f32 instructions of the last kernel should be sampled
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assert len(kernel65_v_rcp_f32_sampled_source_line_set) == (
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v_rcp_f32_end_line_num - v_rcp_f32_start_line_num + 1
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)
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# all chiplets must be sampled
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assert len(sampled_chiplets) == num_xcc
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# all (simd ID, waveslot ID) pairs must be samples
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assert len(sampled_simd_waveslots_pairs) == simd_per_cu * max_waves_per_simd
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# assert chiplet index
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assert all(map(lambda chiplet: 0 <= chiplet < num_xcc, sampled_chiplets))
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# assert (SIMD ID, waveslot ID) combinations
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assert all(
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map(
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lambda simd_waveslot: (0 <= simd_waveslot[0] < simd_per_cu)
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and (0 <= simd_waveslot[1] < max_waves_per_simd),
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sampled_simd_waveslots_pairs,
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)
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)
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# Apparently, not all dispatches must belong to the same VMID,
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# so I'm temporarily disabling the following check.
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# # all samples should belong to the same VMID
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# assert len(sampled_vmids) == 1
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# assert that the number of failing samples is acceptable
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assert (
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failing_exec_mask_checks_samples_num <= max_number_of_failing_records
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), "Number of failing samples failing exec_mask check is too high"
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