pierre-wilmot / neuraltexturesynthesis Goto Github PK

subprocess.CalledProcessError: Command '['ninja', '-v']' returned non-zero exit status 1.

RuntimeError: n cannot be greater than 2^24+1 for Float type. (check_supported_max_int_with_precision at /pytorch/aten/src/ATen/native/TensorFactories.h:78)
frame #0: c10::Error::Error(c10::SourceLocation, std::string const&) + 0x33 (0x7fc56a16b813 in /usr/local/lib/python3.5/dist-packages/torch/lib/libc10.so)
frame #1: <unknown function> + 0x1bb1638 (0x7fc56c377638 in /usr/local/lib/python3.5/dist-packages/torch/lib/libtorch.so)
frame #2: at::native::randperm_out_cpu(at::Tensor&, long, at::Generator*) + 0x3c (0x7fc56c36fd0c in /usr/local/lib/python3.5/dist-packages/torch/lib/libtorch.so)
frame #3: <unknown function> + 0x1d9e3e4 (0x7fc56c5643e4 in /usr/local/lib/python3.5/dist-packages/torch/lib/libtorch.so)
frame #4: at::native::randperm(long, at::Generator*, c10::TensorOptions const&) + 0xab (0x7fc56c36c5eb in /usr/local/lib/python3.5/dist-packages/torch/lib/libtorch.so)
frame #5: at::native::randperm(long, c10::TensorOptions const&) + 0xe (0x7fc56c36c6ee in /usr/local/lib/python3.5/dist-packages/torch/lib/libtorch.so)
frame #6: <unknown function> + 0x1ecce9b (0x7fc56c692e9b in /usr/local/lib/python3.5/dist-packages/torch/lib/libtorch.so)
frame #7: at::Tensor at::ATenOpTable::callUnboxed<at::Tensor, long, c10::TensorOptions const&>(long, c10::TensorOptions const&) const + 0xb6 (0x7fc565ecd1d4 in /tmp/torch_extensions/histogram_cpp/histogram_cpp.so)
frame #8: <unknown function> + 0x82f69 (0x7fc565ebff69 in /tmp/torch_extensions/histogram_cpp/histogram_cpp.so)
frame #9: torch::randperm(long, c10::TensorOptions const&)::{lambda()#1}::operator()() const + 0x97 (0x7fc565ec8b81 in /tmp/torch_extensions/histogram_cpp/histogram_cpp.so)
frame #10: torch::randperm(long, c10::TensorOptions const&) + 0x192 (0x7fc565ec8d5c in /tmp/torch_extensions/histogram_cpp/histogram_cpp.so)
frame #11: matchHistogram(at::Tensor&, at::Tensor&) + 0x10a (0x7fc565ec0696 in /tmp/torch_extensions/histogram_cpp/histogram_cpp.so)
frame #12: <unknown function> + 0x7e653 (0x7fc565ebb653 in /tmp/torch_extensions/histogram_cpp/histogram_cpp.so)
frame #13: <unknown function> + 0x7b692 (0x7fc565eb8692 in /tmp/torch_extensions/histogram_cpp/histogram_cpp.so)
frame #14: <unknown function> + 0x77343 (0x7fc565eb4343 in /tmp/torch_extensions/histogram_cpp/histogram_cpp.so)
frame #15: <unknown function> + 0x77533 (0x7fc565eb4533 in /tmp/torch_extensions/histogram_cpp/histogram_cpp.so)
frame #16: <unknown function> + 0x6a4a1 (0x7fc565ea74a1 in /tmp/torch_extensions/histogram_cpp/histogram_cpp.so)
<omitting python frames>
frame #21: python3() [0x4ebe37]
frame #25: python3() [0x4ebd23]
frame #27: python3() [0x4fb9ce]
frame #29: python3() [0x574b36]
frame #33: python3() [0x4ebe37]
frame #37: python3() [0x4ebd23]
frame #39: python3() [0x4fb9ce]
frame #41: python3() [0x574b36]
frame #44: python3() [0x5406df]
frame #46: python3() [0x5406df]
frame #48: python3() [0x5406df]
frame #50: python3() [0x540199]
frame #52: python3() [0x60c272]
frame #57: __libc_start_main + 0xf0 (0x7fc5c1e76830 in /lib/x86_64-linux-gnu/libc.so.6)

import torch
from torch.utils.cpp_extension import load
cpp = torch.utils.cpp_extension.load(name="histogram_cpp", sources=["histogram.cpp", "histogram.cu"])

dtype=torch.cuda.FloatTensor

a = torch.randn(128, 512, 720).type(dtype)
b = torch.randn(128, 256).type(dtype)

cpp.matchHistogram(a, b) # Causes error message