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A Data-Centric Compiler for Machine Learning

Home Page: https://daceml.readthedocs.io

License: BSD 3-Clause "New" or "Revised" License

Makefile 0.24% Python 99.56% C 0.04% C++ 0.17%

compiler cuda deep-learning fpga high-performance-computing machine-learning pytorch

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shigangli tizianodematteis and-ivanov manuelburger thobauma sandy4321 lsdace30095 lamyiowce machinelearningsystem slaclab akankshabaranwal heydavid633 sakhtardk

daceml's Issues

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Also stop running duplicate tests on pauli

How to fix the ERROR: "subprocess.CalledProcessError"

Here is my problem while run the example/plot_cuda_mish.py
why this problem occur ?
Could you please help me to fix this?

 File "/home/daceml/daceml/venv/lib/python3.8/site-packages/dace/codegen/compiler.py", line 227, in configure_and_compile
    _run_liveoutput("cmake --build . --config %s" % (Config.get('compiler', 'build_type')),
  File "/home/daceml/daceml/venv/lib/python3.8/site-packages/dace/codegen/compiler.py", line 410, in _run_liveoutput
    raise subprocess.CalledProcessError(process.returncode, command, output.getvalue())
subprocess.CalledProcessError: Command 'cmake --build . --config RelWithDebInfo' returned non-zero exit status 2.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "plot_cuda_mish.py", line 192, in <module>
    dace_output = dace_mish(dace_input)
  File "/home/daceml/daceml/venv/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/daceml/daceml/daceml/torch/module.py", line 386, in forward
    self.function = self._initialize_sdfg(actual_inputs)
  File "/home/daceml/daceml/daceml/torch/module.py", line 354, in _initialize_sdfg
    self.compiled_function = function_generator(self, dummy_inputs)
  File "/home/daceml/daceml/daceml/torch/dispatchers/cpp_torch_extension.py", line 481, in register_and_compile_torch_extension
    compiled, handle_ptr, compiled_bwd, bwd_handle_ptr = compile_and_init_sdfgs(
  File "/home/daceml/daceml/daceml/torch/dispatchers/common.py", line 80, in compile_and_init_sdfgs
    compiled_bwd: CompiledSDFG = module.backward_sdfg.compile()
  File "/home/daceml/daceml/venv/lib/python3.8/site-packages/dace/sdfg/sdfg.py", line 2141, in compile
    shared_library = compiler.configure_and_compile(program_folder, sdfg.name)
  File "/home/daceml/daceml/venv/lib/python3.8/site-packages/dace/codegen/compiler.py", line 236, in configure_and_compile
    raise cgx.CompilationError('Compiler failure:\n' + ex.output)
dace.codegen.exceptions.CompilationError: Compiler failure:
[ 20%] Building NVCC (Device) object CMakeFiles/cuda_compile_1.dir/__/__/__/__/__/__/examples/.dacecache/DaCeMish_backward/src/cuda/cuda_compile_1_generated_DaCeMish_backward_0_cuda.cu.o
nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
nvcc warning : The 'compute_35', 'compute_37', 'compute_50', 'sm_35', 'sm_37' and 'sm_50' architectures are deprecated, and may be removed in a future release (Use -Wno-deprecated-gpu-targets to suppress warning).
/home/daceml/daceml/venv/lib/python3.8/site-packages/dace/codegen/../runtime/include/dace/math.h(504): error: no operator "*=" matches these operands
            operand types are: dace::vec<float, 4U> *= const dace::vec<float, 4U>
          detected during instantiation of "T dace::math::ipow(const T &, const unsigned int &) [with T=dace::vec<float, 4U>]"
/home/daceml/daceml/examples/.dacecache/DaCeMish_backward/src/cuda/DaCeMish_backward_0_cuda.cu(90): here
1 error detected in the compilation of "/home/daceml/daceml/examples/.dacecache/DaCeMish_backward/src/cuda/DaCeMish_backward_0_cuda.cu".
CMake Error at cuda_compile_1_generated_DaCeMish_backward_0_cuda.cu.o.RelWithDebInfo.cmake:276 (message):
  Error generating file
  /home/daceml/daceml/examples/.dacecache/DaCeMish_backward/build/CMakeFiles/cuda_compile_1.dir/__/__/__/__/__/__/examples/.dacecache/DaCeMish_backward/src/cuda/./cuda_compile_1_generated_DaCeMish_backward_0_cuda.cu.o


gmake[2]: *** [CMakeFiles/DaCeMish_backward_0.dir/build.make:568: CMakeFiles/cuda_compile_1.dir/__/__/__/__/__/__/examples/.dacecache/DaCeMish_backward/src/cuda/cuda_compile_1_generated_DaCeMish_backward_0_cuda.cu.o] Error 1
gmake[1]: *** [CMakeFiles/Makefile2:84: CMakeFiles/DaCeMish_backward_0.dir/all] Error 2
gmake: *** [Makefile:91: all] Error 2

Fix naming in generated ORT code

The ONNX_ prefix is added twice, so arrays have names like ONNX_ONNX_...

Decorator option to compile only child modules

in order to save parameters for individual modules and avoid issues with PyTorch and 64 allowed parameters per module call.

Alternatively: mode that runs with ctypes/pybind11 when too many parameters are present.

Issues with plot_fpga_lenet.py

I am getting the following errors when I run the example/plot_fpga_lenet.py using the current master branch:

$ python examples/plot_fpga_lenet.py
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "onnxCOLONCOLONRelu_11" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "onnxCOLONCOLONMaxPool_12" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "input" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "onnxCOLONCOLONRelu_14" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "onnxCOLONCOLONMaxPool_15" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "onnxCOLONCOLONReshape_16" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "onnxCOLONCOLONGemm_18" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "onnxCOLONCOLONRelu_19" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "onnxCOLONCOLONGemm_20" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "onnxCOLONCOLONRelu_21" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "onnxCOLONCOLONGemm_22" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/validation.py:321: UserWarning: WARNING: Use of uninitialized transient "x" in state TestLeNet
  warnings.warn('WARNING: Use of uninitialized transient "%s" in state %s' %
Traceback (most recent call last):
  File "/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/codegen/compiler.py", line 222, in configure_and_compile
    _run_liveoutput("cmake --build . --config %s" % (Config.get('compiler', 'build_type')),
  File "/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/codegen/compiler.py", line 405, in _run_liveoutput
    raise subprocess.CalledProcessError(process.returncode, command, output.getvalue())
subprocess.CalledProcessError: Command 'cmake --build . --config RelWithDebInfo' returned non-zero exit status 2.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/scripts/plot_fpga_lenet.py", line 76, in <module>
    daceml_result = daceml_module(x)
  File "/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/daceml/torch/module.py", line 385, in forward
    self.function = self._initialize_sdfg(actual_inputs)
  File "/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/daceml/torch/module.py", line 355, in _initialize_sdfg
    self.compiled_function = function_generator(self, dummy_inputs)
  File "/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/daceml/torch/dispatchers/cpp_torch_extension.py", line 498, in register_and_compile_torch_extension
    compiled, handle_ptr = compile_and_init_sdfgs(module, dummy_inputs)
  File "/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/daceml/torch/dispatchers/common.py", line 47, in compile_and_init_sdfgs
    compiled: CompiledSDFG = module.dace_model.compile_and_init()
  File "/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/daceml/onnx/onnx_importer.py", line 452, in compile_and_init
    compiled_sdfg = self.sdfg.compile()
  File "/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/sdfg/sdfg.py", line 2140, in compile
    shared_library = compiler.configure_and_compile(program_folder, sdfg.name)
  File "/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/codegen/compiler.py", line 231, in configure_and_compile
    raise cgx.CompilationError('Compiler failure:\n' + ex.output)
dace.codegen.exceptions.CompilationError: Compiler failure:
Consolidate compiler generated dependencies of target TestLeNet_1
[ 16%] Building CXX object CMakeFiles/TestLeNet_1.dir/afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/.dacecache/TestLeNet_1/src/cpu/TestLeNet_1.cpp.o
In file included from /u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/codegen/../runtime/include/dace/dace.h:14,
                 from /afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/.dacecache/TestLeNet_1/src/cpu/TestLeNet_1.cpp:2:
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/codegen/../runtime/include/dace/types.h: In constructor ‘dace::half::half(float)’:
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/codegen/../runtime/include/dace/types.h:94:28: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]
   94 |             uint32_t x = *((uint32_t*)&f);
      |                           ~^~~~~~~~~~~~~~
[ 33%] Building CXX object CMakeFiles/TestLeNet_1.dir/afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/.dacecache/TestLeNet_1/src/xilinx/device/TestLeNet_0_0.cpp.o
In file included from /u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/codegen/../runtime/include/dace/copy.h:5,
                 from /u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/codegen/../runtime/include/dace/xilinx/device.h:8,
                 from /u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/codegen/../runtime/include/dace/fpga_device.h:5,
                 from /afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/.dacecache/TestLeNet_1/src/xilinx/device/TestLeNet_0_0.cpp:1:
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/codegen/../runtime/include/dace/types.h: In constructor ‘dace::half::half(float)’:
/u1/ruckman/anaconda3/envs/dace-ml-dev/lib/python3.9/site-packages/dace/codegen/../runtime/include/dace/types.h:94:28: warning: dereferencing type-punned pointer will break strict-aliasing rules [-Wstrict-aliasing]
   94 |             uint32_t x = *((uint32_t*)&f);
      |                           ~^~~~~~~~~~~~~~
/afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/.dacecache/TestLeNet_1/src/xilinx/device/TestLeNet_0_0.cpp: In function ‘void TestLeNet_0_0_0(const float*, const float*, const float*, const float*, const float*, const float*, const float*, const float*, const float*, const float*, const float*, const float*, const long long int*, float*, float*, float*, float*, float*, float*, float*, float*, float*, float*, float*, float*, float*)’:
/afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/.dacecache/TestLeNet_1/src/xilinx/device/TestLeNet_0_0.cpp:575:243: error: ‘y_out’ was not declared in this scope
  575 |                             if (((((b > 0) || (n0 > 0)) && (k_drain < p) && (m_drain < 576)) || ((k == (25 - 1)) && (m >= 0)) || (__bn0km_drain && (k_drain < p)))) {Y_pipe[p].push((((p == 0) || ((k_drain == (25 - 1)) && (! __bn0km_drain))) ? y_out[0] : forward_in.pop()));
      |                                                                                                                                                                                                                                                   ^~~~~
/afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/.dacecache/TestLeNet_1/src/xilinx/device/TestLeNet_0_0.cpp:843:263: error: ‘y_out’ was not declared in this scope
  843 |                             if (((((b > 0) || (n0 > 0)) && (k_drain < p) && (m_drain < 64)) || ((k == (150 - 1)) && (m >= 0)) || (__bn0km_drain && (k_drain < p)))) {fpga_im2col_conv_1_Y_pipe[p].push((((p == 0) || ((k_drain == (150 - 1)) && (! __bn0km_drain))) ? y_out[0] : forward_in.pop()));
      |                                                                                                                                                                                                                                                                       ^~~~~
/afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/.dacecache/TestLeNet_1/src/xilinx/device/TestLeNet_0_0.cpp:1086:248: error: ‘c_out’ was not declared in this scope; did you mean ‘b_out’?
 1086 |                             if (((((n0 > 0) || (tm > 0)) && (k_drain < p) && (m_drain < 120)) || ((k == (256 - 1)) && (m >= 0)) || (__n0tmkm_drain && (k_drain < p)))) {C_pipe[p].push((((p == 0) || ((k_drain == (256 - 1)) && (! __n0tmkm_drain))) ? c_out[0] : forward_in.pop()));
      |                                                                                                                                                                                                                                                        ^~~~~
      |                                                                                                                                                                                                                                                        b_out
/afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/.dacecache/TestLeNet_1/src/xilinx/device/TestLeNet_0_0.cpp:1199:259: error: ‘c_out’ was not declared in this scope; did you mean ‘b_out’?
 1199 |                             if (((((n0 > 0) || (tm > 0)) && (k_drain < p) && (m_drain < 84)) || ((k == (120 - 1)) && (m >= 0)) || (__n0tmkm_drain && (k_drain < p)))) {fpga_gemm_1_C_pipe[p].push((((p == 0) || ((k_drain == (120 - 1)) && (! __n0tmkm_drain))) ? c_out[0] : forward_in.pop()));
      |                                                                                                                                                                                                                                                                   ^~~~~
      |                                                                                                                                                                                                                                                                   b_out
/afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/.dacecache/TestLeNet_1/src/xilinx/device/TestLeNet_0_0.cpp:1312:257: error: ‘c_out’ was not declared in this scope; did you mean ‘b_out’?
 1312 |                             if (((((n0 > 0) || (tm > 0)) && (k_drain < p) && (m_drain < 10)) || ((k == (84 - 1)) && (m >= 0)) || (__n0tmkm_drain && (k_drain < p)))) {fpga_gemm_2_C_pipe[p].push((((p == 0) || ((k_drain == (84 - 1)) && (! __n0tmkm_drain))) ? c_out[0] : forward_in.pop()));
      |                                                                                                                                                                                                                                                                 ^~~~~
      |                                                                                                                                                                                                                                                                 b_out
gmake[2]: *** [CMakeFiles/TestLeNet_1.dir/build.make:90: CMakeFiles/TestLeNet_1.dir/afs/slac.stanford.edu/u/re/ruckman/projects/daceml-dev/software/.dacecache/TestLeNet_1/src/xilinx/device/TestLeNet_0_0.cpp.o] Error 1
gmake[1]: *** [CMakeFiles/Makefile2:630: CMakeFiles/TestLeNet_1.dir/all] Error 2
gmake: *** [Makefile:91: all] Error 2

Fix GPU Cast

Broken in full_bert because of a GPU scalar cast spcl/dace#360

Bump shape inference script

Try to remove Onehot from bert full model test

Fix PyTorch Module running with eval onnx export

Im2col is broken

Since Im2col has a ONNX node within a map, the schedule of the onnx node is inferred to be Sequential (since the schedule of the outer map is Sequential).

Then the ONNX expansion fails because there is not Sequential implementation of Gemm

Consider flattening maps for elementwise operations

Otherwise, parallelism opportunities are missed as blockDim.x is usually small on its own.

Fix GPU Pow

Pow returns NaN in the PT bert encoder test; check how ORT implements it

Detect `x = y * 1` in autodiff

These expressions could become reduce nodes.

ONNX bridge should be compiled as part of setup.py

Instead of cluttering the .dacecache, it would be better to compile the bridge upon installation or first use.

Ops ignore the input subset, always operate on the full array

Both the ORT expansion and the pure expansions ignore the input/output subsets and always operate on the full array specified by the memlet.

For the pure expansions, fixing this should amount to fixing in_desc_with_name, out_desc_with_name and input_prog_for_node.

For onnxruntime expansions, we will need to copy before passing in the tensor if the tensor is not contiguous

The reshape and CF transformations will also need to be checked

OP Implementattion Documentation

Add documentation about debug level and default_implementation

Clean up ONNX library node implementation

At the moment, creating ONNX library node implementations entails a double nested loop over all expansions, which is hard to read and debug. If we could avoid dynamic class creation and the double for loop, or at least clean it up, it would be more approachable.

Backward file is compiled even when only forward is called

error installing daceML

I am trying to install daceML on my machine with the following specifiactions:
OS: Ubuntu 20.04
Arch: x86
Cuda: 12.2
Python: 3.9
pytorch: 1.8
dace: v0.13.3

The steps I followed:
-> Install relevant versions of cuda, python, dace, pytorch
-> Cloned the patched version of ONNX from: https://github.com/orausch/onnxruntime.git
-> Build using the following command (modified for CUDA 12.2)
"./build.sh --use_cuda --cuda_version=12.2 --cuda_home=/usr/local/cuda-12.2 --cudnn_home=/usr/local/cuda-12.2 --build_shared_lib --parallel --config Release"

The build fails with this. Please let me know if you need any further information.

Please let us know if there is any incompatibility with any of these prerequisite software/libraries.

error link to http://spclstorage.inf.ethz.ch/

Hello, I can't get dataset from http://spclstorage.inf.ethz.ch/, same issue as ncc

Do not force ORT_ROOT to be set unless onnxruntime expansions are requested

Maxpool backprop failing if size is not divisible

A memlet validation error happens, which means that the pure backward implementation needs to be adapted

Custom ONNX node implementation not registering

I'm trying to externally add and register a custom implementation for an ONNX op. For the sake of context, the op in question is ONNXMul. I've tried following the code snippet in the documentation, and I've come up with this:

@op_implementation(op="Mul", name="myimpl")
class FPGAMul(ONNXForward):
    @staticmethod
    def forward_can_be_applied(node: ONNXOp, state: SDFGState, sdfg: SDFG) -> bool:
        ...

    @staticmethod
    def forward(node: ONNXOp, state: SDFGState, sdfg: SDFG) -> typing.Union[Node, SDFG]:
        ...
        
daceml.onnx.default_implementation = 'myimpl'

This piece of code resides in the same Python script that loads an ONNX model and expands the library nodes. Namely, somewhere later in the script I have

    model = onnx.load(model_path)
    dace_model = daceml.onnx.ONNXModel(name, model)
    print ('ONNX model loaded...')
    dace_model.sdfg.expand_library_nodes()

However this results in an error:

Traceback (most recent call last):
  File "load.py", line 114, in predict_daceml
    dace_model.sdfg.expand_library_nodes()
  File ".../dace/sdfg/sdfg.py", line 2559, in expand_library_nodes
    impl_name = node.expand(self, state)
  File ".../dace/sdfg/nodes.py", line 1269, in expand
    raise KeyError("Unknown implementation for node {}: {}".format(type(self).__name__, implementation))
KeyError: 'Unknown implementation for node ONNXMul: myimpl'

Can you tell me why my implementation is not registering, and how to fix this?

C[:] = ONNXAdd(A, B)

instead of

ONNXAdd(A=A, B=B, C=C)

This would require renaming the current ONNX nodes to something else, maybe like ONNXAddNode. (so that we can still have to old behaviour for fallback)

Add GPT-2 to CI

and other transformers

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