Comments (1)
Closing, as error clearly indicates, that libtorch requires a C++17 capable compiler
from pytorch.
Related Issues (20)
- torch.nn.functional.normalize producing nan values with a large p value and tensor of complex numbers HOT 3
- Compiler is 2x Faster for Input Size 1 Compared to Sizes 2 and Above, Where Forward Pass Times Remain Consistent HOT 9
- [rocm] Unusable torch.ops.aten._scaled_dot_product_flash_attention_backward at 9.6TFLOPs HOT 3
- torch.compile cannot handle torch.Tensor correctly HOT 1
- bitwise_xor does not work for uint32 HOT 3
- Cannot build libtorch from source with NVHPC compilers - "Could NOT find Threads" HOT 1
- `torch._dynamo.exc.Unsupported: torch.* op returned non-Tensor bool call_method is_inference` HOT 2
- Inconsistent Tensor._version Behaviour with torch.compile() HOT 9
- [MPS] Possible persistent infinite loop in `nn.ReplicationPad1d` HOT 12
- [MPS] Correctness issue in backward pass of `nn.ReplicationPad1d` and `nn.ReplicationPad2d` HOT 2
- DISABLED test_comprehensive_signal_windows_hamming_cpu_float64 (__main__.TestInductorOpInfoCPU) HOT 1
- DISABLED test_comprehensive_tile_cpu_bool (__main__.TestInductorOpInfoCPU) HOT 1
- DISABLED test_comprehensive_special_polygamma_special_polygamma_n_0_cpu_float32 (__main__.TestInductorOpInfoCPU) HOT 1
- DISABLED test_comprehensive_special_zeta_cpu_float32 (__main__.TestInductorOpInfoCPU) HOT 1
- DISABLED test_comprehensive_unfold_copy_cpu_int64 (__main__.TestInductorOpInfoCPU) HOT 1
- DISABLED test_autocast_nn_bf16 (__main__.TestCudaAutocast) HOT 1
- DISABLED test_embedding_dynamic_shapes_cpu (__main__.DynamicShapesCodegenCpuTests) HOT 2
- DISABLED test_embedding_bag_cpu (__main__.CpuTests) HOT 2
- Allow partial fallback when frame recompiles failed or exceed the cache size limit HOT 3
- Partitioner error when functionalizing RNG state for LLAMA2 + LoRA 70b decoder layer graph HOT 1
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from pytorch.