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Adding dispatcher architecture (#3300)
* WIP POC of dispatcher * Dispatcher python workflow setup. * Dispatcher cleanup and updates. Further dispatcher cleanup and updates. Build fixes Improvements and python to CK example Improvements to readme * Fixes to python paths * Cleaning up code * Improving dispatcher support for different arch Fixing typos * Fix formatting errors * Cleaning up examples * Improving codegeneration * Improving and fixing C++ examples * Adding conv functionality (fwd,bwd,bwdw) and examples. * Fixes based on feedback. * Further fixes based on feedback. * Adding stress test for autogeneration and autocorrection, and fixing preshuffle bug. * Another round of improvements based on feedback. * Trimming out unnecessary code. * Fixing the multi-D implementation. * Using gpu verification for gemms and fixing convolutions tflops calculation. * Fix counter usage issue and arch filtering per ops. * Adding changelog and other fixes. * Improve examples and resolve critical bugs. * Reduce build time for python examples. * Fixing minor bug. * Fix compilation error. * Improve installation instructions for dispatcher. * Add docker based installation instructions for dispatcher. * Fixing arch-based filtering to match tile engine. * Remove dead code and fix arch filtering. * Minor bugfix. * Updates after rebase. * Trimming code. * Fix copyright headers. * Consolidate examples, cut down code. * Minor fixes. * Improving python examples. * Update readmes. * Remove conv functionality. * Cleanup following conv removable.
This commit is contained in:
Vidyasagar Ananthan
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GitHub
GitHub
parent
44f481a45c
commit
9e049a32a1
156
dispatcher/examples/gemm/python/04_validation.py
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156
dispatcher/examples/gemm/python/04_validation.py
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#!/usr/bin/env python3
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# Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
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# SPDX-License-Identifier: MIT
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"""
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Example 04: Validation
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Validates GPU GEMM against NumPy reference.
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Complexity: ★★★☆☆
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Usage:
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python3 04_validation.py
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python3 04_validation.py --help
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python3 04_validation.py --dtype bf16
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"""
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import sys
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import argparse
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent.parent.parent / "python"))
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import numpy as np
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from ctypes_utils import (
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KernelConfig,
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Validator,
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setup_gemm_dispatcher,
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cleanup_gemm,
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reset_for_example,
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)
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def main():
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parser = argparse.ArgumentParser(
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description="GEMM Validation Example - validates GPU results against NumPy",
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formatter_class=argparse.RawDescriptionHelpFormatter,
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epilog="""
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Examples:
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python3 04_validation.py # Default FP16 validation
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python3 04_validation.py --dtype bf16 # BF16 validation
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python3 04_validation.py --rtol 1e-2 # Relaxed tolerance
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""",
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)
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parser.add_argument(
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"--dtype",
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default="fp16",
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choices=["fp16", "bf16", "fp32"],
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help="Data type (default: fp16)",
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)
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parser.add_argument(
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"--rtol", type=float, default=1e-3, help="Relative tolerance (default: 1e-3)"
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)
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parser.add_argument(
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"--atol", type=float, default=1e-2, help="Absolute tolerance (default: 1e-2)"
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)
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parser.add_argument(
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"--arch", default="gfx942", help="Target architecture (default: gfx942)"
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)
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args = parser.parse_args()
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reset_for_example()
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print("=" * 60)
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print("Example 04: Validation")
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print("=" * 60)
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# =========================================================================
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# Step 1: Setup dispatcher
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# =========================================================================
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print("\nStep 1: Setup Dispatcher")
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config = KernelConfig(
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dtype_a=args.dtype,
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dtype_b=args.dtype,
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dtype_c=args.dtype,
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tile_m=128,
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tile_n=128,
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tile_k=32,
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gfx_arch=args.arch,
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)
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setup = setup_gemm_dispatcher(config, registry_name="validation", verbose=True)
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if not setup.success:
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print(f" ERROR: {setup.error}")
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return 1
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dispatcher = setup.dispatcher
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# =========================================================================
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# Step 2: Run validation tests
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# =========================================================================
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print("\nStep 2: Validation Tests")
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validator = Validator(rtol=args.rtol, atol=args.atol)
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np_dtype = np.float16 if args.dtype in ["fp16", "bf16"] else np.float32
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test_cases = [
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("Identity", 128, 128, 128, "identity"),
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("Small", 256, 256, 256, "random"),
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("Medium", 512, 512, 512, "random"),
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("Large", 1024, 1024, 1024, "random"),
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("Non-square", 512, 1024, 256, "random"),
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]
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passed = 0
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failed = 0
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print(f"\n {'Test':<15} | {'Size':<15} | {'Max Err':>10} | {'Status':>8}")
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print(" " + "-" * 55)
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for name, M, N, K, pattern in test_cases:
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if not dispatcher.is_supported(M, N, K):
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print(f" {name:<15} | {M}x{N}x{K:<5} | {'N/A':>10} | Skipped")
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continue
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np.random.seed(42)
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if pattern == "identity":
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A = np.eye(M, K, dtype=np_dtype)
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B = np.eye(K, N, dtype=np_dtype)
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else:
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A = (np.random.randn(M, K) * 0.1).astype(np_dtype)
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B = (np.random.randn(K, N) * 0.1).astype(np_dtype)
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result = dispatcher.run(A, B, M, N, K)
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if not result.success:
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print(f" {name:<15} | {M}x{N}x{K:<5} | {'GPU Err':>10} | FAILED")
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failed += 1
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continue
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C_ref = np.matmul(A.astype(np.float32), B.astype(np.float32)).astype(np_dtype)
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is_valid, max_err, _ = validator.check(result.output, C_ref)
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if is_valid:
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print(f" {name:<15} | {M}x{N}x{K:<5} | {max_err:>10.2e} | PASSED")
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passed += 1
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else:
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print(f" {name:<15} | {M}x{N}x{K:<5} | {max_err:>10.2e} | FAILED")
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failed += 1
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# Cleanup
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cleanup_gemm()
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# Summary
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print("\n" + "=" * 60)
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total = passed + failed
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print(f"Results: {passed}/{total} passed")
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print(f"Settings: dtype={args.dtype}, rtol={args.rtol}, atol={args.atol}")
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print("=" * 60)
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return 0 if failed == 0 else 1
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if __name__ == "__main__":
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sys.exit(main())
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