mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-02-16 01:26:29 -05:00
183 lines
5.8 KiB
Python
183 lines
5.8 KiB
Python
import unittest
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from onnx.backend.base import Backend, BackendRep
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import onnx.backend.test
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import numpy as np
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from tinygrad.tensor import Tensor
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from typing import Any, Tuple
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from tinygrad.helpers import getenv
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# pip3 install tabulate
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pytest_plugins = 'onnx.backend.test.report',
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from extra.onnx import get_run_onnx
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class TinygradModel(BackendRep):
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def __init__(self, run_onnx, input_names):
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super().__init__()
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self.fxn = run_onnx
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self.input_names = input_names
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def run(self, inputs: Any, **kwargs: Any) -> Tuple[Any, ...]:
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real_inputs = {k:v for k,v in zip(self.input_names, inputs)}
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ret = self.fxn(real_inputs, debug=True)
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return tuple(x.numpy() if isinstance(x, Tensor) else np.array(x) for x in ret.values())
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class TinygradBackend(Backend):
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@classmethod
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def prepare(cls, model, device):
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input_all = [x.name for x in model.graph.input]
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input_initializer = [x.name for x in model.graph.initializer]
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net_feed_input = [x for x in input_all if x not in input_initializer]
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print("prepare", cls, device, net_feed_input)
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run_onnx = get_run_onnx(model)
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return TinygradModel(run_onnx, net_feed_input)
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@classmethod
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def supports_device(cls, device: str) -> bool:
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return device == "CPU"
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backend_test = onnx.backend.test.BackendTest(TinygradBackend, __name__)
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# add support for SoftmaxCrossEntropyLoss and NegativeLogLikelihoodLoss
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backend_test.exclude('test_sce_*')
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# no support for reduce with multiply (needs llop)
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backend_test.exclude('test_reduce_prod_*')
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# no optimizers (add them?)
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backend_test.exclude('test_adagrad_*')
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backend_test.exclude('test_adam_*')
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backend_test.exclude('test_nesterov_momentum_*')
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backend_test.exclude('test_momentum_*')
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# disable some creation ops
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backend_test.exclude('test_eyelike_*')
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# we only support float32
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backend_test.exclude('uint8')
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backend_test.exclude('uint16')
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backend_test.exclude('uint32')
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backend_test.exclude('uint64')
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backend_test.exclude('int8')
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backend_test.exclude('int16')
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backend_test.exclude('float64')
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backend_test.exclude('string')
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backend_test.exclude('test_pow_types_int*')
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backend_test.exclude('test_cast_*')
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backend_test.exclude('test_castlike_*')
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backend_test.exclude('test_convinteger_*')
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backend_test.exclude('test_matmulinteger_*')
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# we don't support rounding
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backend_test.exclude('test_round_*')
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# we don't support indexes
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backend_test.exclude('test_argmax_*')
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backend_test.exclude('test_argmin_*')
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backend_test.exclude('test_nonzero_*')
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# no support for nan or inf
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backend_test.exclude('test_isinf_*')
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backend_test.exclude('test_isnan_*')
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# no support for mod
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backend_test.exclude('test_mod_*')
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# no trig ops
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backend_test.exclude('test_acos_*')
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backend_test.exclude('test_acosh_*')
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backend_test.exclude('test_asin_*')
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backend_test.exclude('test_asinh_*')
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backend_test.exclude('test_atan_*')
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backend_test.exclude('test_atanh_*')
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# no boolean ops (2d, 3d, 4d)
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backend_test.exclude('test_bitshift_*')
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# no scatter gather
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backend_test.exclude('test_gather_*')
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backend_test.exclude('test_gathernd_*')
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backend_test.exclude('test_scatter_*')
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backend_test.exclude('test_scatternd_*')
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# no quantize
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backend_test.exclude('test_dequantizelinear_*')
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backend_test.exclude('test_dynamicquantizelinear_*')
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backend_test.exclude('test_qlinearmatmul_*')
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backend_test.exclude('test_qlinearconv_*')
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backend_test.exclude('test_quantizelinear_*')
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# no rnn
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backend_test.exclude('test_gru_*')
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backend_test.exclude('test_rnn_*')
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backend_test.exclude('test_lstm_*')
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backend_test.exclude('test_simple_rnn_*')
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# no control flow
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backend_test.exclude('test_if_*')
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backend_test.exclude('test_loop*')
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# unsupported (strange) ops
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backend_test.exclude('test_bitwise_*')
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backend_test.exclude('test_blackmanwindow_*')
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backend_test.exclude('test_bernoulli_*')
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backend_test.exclude('test_cumsum_*')
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backend_test.exclude('test_tril_zero_cpu') # TODO: zero array support
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backend_test.exclude('test_triu_zero_cpu') # TODO: zero array support
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backend_test.exclude('test_col2im_*')
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backend_test.exclude('test_hammingwindow_*')
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backend_test.exclude('test_hannwindow_*')
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backend_test.exclude('test_hardmax_*')
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backend_test.exclude('test_gridsample_*')
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backend_test.exclude('test_compress_*')
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backend_test.exclude('test_det_*')
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backend_test.exclude('test_dft_*')
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backend_test.exclude('test_einsum_*')
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backend_test.exclude('test_erf_*')
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backend_test.exclude('test_strnorm_*')
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backend_test.exclude('test_unique_*')
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backend_test.exclude('test_sequence_*')
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backend_test.exclude('test_nonmaxsuppression_*')
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backend_test.exclude('test_reversesequence_*')
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backend_test.exclude('test_roialign_*')
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backend_test.exclude('test_top_k_*')
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backend_test.exclude('test_tfidfvectorizer_*')
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backend_test.exclude('test_stft_*')
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backend_test.exclude('test_melweightmatrix_*')
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# more strange ops
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backend_test.exclude('test_center_crop_pad_crop_*')
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backend_test.exclude('test_basic_deform_conv_*')
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backend_test.exclude('test_deform_conv_*')
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backend_test.exclude('test_lppool_*')
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backend_test.exclude('test_depthtospace_*')
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backend_test.exclude('test_spacetodepth_*')
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backend_test.exclude('test_scan*')
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backend_test.exclude('test_ai_onnx_ml_array_feature_extractor_*')
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backend_test.exclude('test_split_to_sequence_*')
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# disable model tests for now since they are slow
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if not getenv("MODELTESTS"):
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for x in backend_test.test_suite:
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if 'OnnxBackendRealModelTest' in str(type(x)):
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backend_test.exclude(str(x).split(" ")[0])
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else:
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# model tests all pass!
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backend_test.include('test_resnet50')
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backend_test.include('test_inception_v1')
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backend_test.include('test_inception_v2')
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backend_test.include('test_densenet121')
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backend_test.include('test_shufflenet')
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backend_test.include('test_squeezenet')
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backend_test.include('test_bvlc_alexnet')
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backend_test.include('test_zfnet512')
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backend_test.include('test_vgg19')
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globals().update(backend_test.enable_report().test_cases)
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if __name__ == '__main__':
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unittest.main()
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