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Byte class and Refactor to/from GPU #4201
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| Codecov Report❌ Patch coverage is  
 Additional details and impacted files@@             Coverage Diff             @@
##           develop    #4201      +/-   ##
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- Coverage    92.23%   92.22%   -0.01%     
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  Files          553      556       +3     
  Lines        25628    25697      +69     
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+ Hits         23636    23697      +61     
- Misses        1992     2000       +8     
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…/AMDMIGraphX into byte_class_hip_data
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lgtm
| * Created to have a custom stream operator so that it prints as an unsigned int. | ||
| * This type is essentially a limited unsigned_char to prevent things like trying to add two bytes. | ||
| */ | ||
| enum class byte : unsigned char | 
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All your casts are of type uint8_t. However, this enum takes (its base) after unsigned char.
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Matching the standard library proposed implementation.
        
          
                src/include/migraphx/byte.hpp
              
                Outdated
          
        
      | MIGRAPHX_REQUIRES(std::is_integral<IntType>{} and std::is_unsigned<IntType>{})> | ||
| constexpr byte operator<<(byte b, IntType shift) noexcept | ||
| { | ||
| return static_cast<byte>(static_cast<uint8_t>(b) << shift); | 
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There perhaps should be no reason to cast if the original base of this enum were uint8_t instead of unsigned char. All these static casts could just go away, I wonder.
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Approving this PR.
As a style issue, I prefer not having two casts, when one cast could do, but that shouldn't be a stopper in any way for your excellent work done already. Thanks.
| 
 This build is not recommended to merge 🔴 | 
| ❌bert-mrpc-tf: ERROR - check error outputerror: unknown warning option '-Wnrvo' [-Werror,-Wunknown-warning-option]error: unknown warning option '-Wnrvo' [-Werror,-Wunknown-warning-option] 2025-08-22 13:49:57.855983: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. WARNING: All log messages before absl::InitializeLog() is called are written to STDERR I0000 00:00:1755888603.279076 173624 gpu_device.cc:2022] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 62951 MB memory: -> device: 0, name: AMD Instinct MI250X/MI250, pci bus id: 0000:b3:00.0 WARNING: All log messages before absl::InitializeLog() is called are written to STDERR I0000 00:00:1755888604.186091 173624 mlir_graph_optimization_pass.cc:401] MLIR V1 optimization pass is not enabled 2025-08-22 13:50:12.894353: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc 2025-08-22 13:50:12.894515: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc 2025-08-22 13:50:12.894563: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc 2025-08-22 13:50:12.894608: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc 2025-08-22 13:50:12.894655: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc 2025-08-22 13:50:12.894702: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc 2025-08-22 13:50:12.894732: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc 2025-08-22 13:50:12.894760: E external/local_xla/xla/service/gpu/llvm_gpu_backend/gpu_backend_lib.cc:250] bitcode module is required by this HLO module but was not found at ./opencl.bc error: Failure when generating HSACO error: Failure when generating HSACO error: Failure when generating HSACO error: Failure when generating HSACO error: Failure when generating HSACO error: Failure when generating HSACO error: Failure when generating HSACO error: Failure when generating HSACO 2025-08-22 13:50:12.895985: E tensorflow/compiler/mlir/tools/kernel_gen/tf_framework_c_interface.cc:228] INTERNAL: Generating device code failed. 2025-08-22 13:50:12.897281: W tensorflow/core/framework/op_kernel.cc:1829] UNKNOWN: JIT compilation failed. 2025-08-22 13:50:12.897301: I tensorflow/core/framework/local_rendezvous.cc:405] Local rendezvous is aborting with status: UNKNOWN: JIT compilation failed. [[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]] 2025-08-22 13:50:12.897313: I tensorflow/core/framework/local_rendezvous.cc:405] Local rendezvous is aborting with status: UNKNOWN: JIT compilation failed. [[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]] [[import/loss/output/_21]] 2025-08-22 13:50:12.897328: I tensorflow/core/framework/local_rendezvous.cc:424] Local rendezvous recv item cancelled. Key hash: 11217777527359497193 Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1407, in _do_call return fn(*args) File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1390, in _run_fn return self._call_tf_sessionrun(options, feed_dict, fetch_list, File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1483, in _call_tf_sessionrun return tf_session.TF_SessionRun_wrapper(self._session, options, feed_dict, tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found. (0) UNKNOWN: JIT compilation failed. [[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]] [[import/loss/output/_21]] (1) UNKNOWN: JIT compilation failed. [[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]] 0 successful operations. 0 derived errors ignored. During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 359, in main() File "/src/AMDMIGraphX/tools/accuracy/accuracy_checker.py", line 335, in main y_out = sess.run(y, feed_dict=tf_dict) File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 977, in run result = self._run(None, fetches, feed_dict, options_ptr, File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1220, in _run results = self._do_run(handle, final_targets, final_fetches, File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1400, in _do_run return self._do_call(_run_fn, feeds, fetches, targets, options, File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/client/session.py", line 1426, in _do_call raise type(e)(node_def, op, message) # pylint: disable=no-value-for-parameter tensorflow.python.framework.errors_impl.UnknownError: Graph execution error: Detected at node 'import/bert/embeddings/LayerNorm/moments/SquaredDifference' defined at (most recent call last): Node: 'import/bert/embeddings/LayerNorm/moments/SquaredDifference' Detected at node 'import/bert/embeddings/LayerNorm/moments/SquaredDifference' defined at (most recent call last): Node: 'import/bert/embeddings/LayerNorm/moments/SquaredDifference' 2 root error(s) found. (0) UNKNOWN: JIT compilation failed. [[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]] [[import/loss/output/_21]] (1) UNKNOWN: JIT compilation failed. [[{{node import/bert/embeddings/LayerNorm/moments/SquaredDifference}}]] 0 successful operations. 0 derived errors ignored. Original stack trace for 'import/bert/embeddings/LayerNorm/moments/SquaredDifference': 🔴bert_large_uncased_fp16: FAILED: MIGraphX is not within tolerance - check verbose output🔴mask-rcnn: FAILED: MIGraphX is not within tolerance - check verbose output | 
migraphx::byteclass for handling a generic byte of datato_gpuandfrom_gputo use raw buffersfp4x2_typeraw_data.fallback_visit()for handling checking of a computable type during visittensor_view<migraphx::byte>