/external/pytorch/benchmarks/operator_benchmark/pt/ |
D | qpool_test.py | 67 def setup(self, N, C, H, W, dtype, contig): argument 97 def init(self, N, C, H, W, k, s, p, contig, dtype): argument 110 def init(self, N, C, H, W, k, s, p, contig, dtype): argument 118 def init(self, N, C, input_size, output_size, contig, dtype): argument
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D | qarithmetic_test.py | 34 def setup(self, N, dtype, contig): argument 51 def init(self, N, dtype, contig, op_func): argument 71 def init(self, N, dtype, contig, op_func): argument
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D | qactivation_test.py | 61 def _setup(self, dims, contig, dtype): argument 78 def init(self, dims, contig, inplace, dtype, op_func): argument
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D | qtensor_method_test.py | 29 def init(self, M, N, dtype, contig): argument
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D | qcat_test.py | 38 def init(self, M, N, K, L, dim, contig, dtype): argument
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D | qcomparators_test.py | 29 def init(self, N, dtype, contig, other_scalar, out_variant, op_func): argument
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D | qinterpolate_test.py | 41 def init(self, M, N, K, dtype, mode, scale, contig): argument
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/external/pytorch/aten/src/ATen/native/cpu/ |
D | DistributionKernels.cpp | 58 bool contig = self.is_contiguous(); in bernoulli_scalar_kernel() local 128 bool contig = self.is_contiguous(); in exponential_kernel() local
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/external/pytorch/aten/src/ATen/native/ |
D | LinearAlgebraUtils.h | 78 … borrow_else_clone(const bool cond, const Tensor& borrow, const Tensor& clone, const bool contig) { in borrow_else_clone() 156 inline TransposeType to_transpose_type(const bool contig, const bool conj) { in to_transpose_type()
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/external/pytorch/test/nn/ |
D | test_pooling.py | 1332 def helper(input_size, output_plane_size, contig): argument 1383 def helper(n, c, h, w, kernel_size, stride, padding, dilation, contig, device): argument
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/external/pdfium/third_party/libtiff/ |
D | tiffio.h | 226 tileContigRoutine contig; member
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/external/pytorch/test/ |
D | test_torch.py | 3399 def make_arg(batch_sizes, n, dim, contig): argument 3561 def make_arg(batch_sizes, n, dim, contig): argument
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/external/pytorch/test/functorch/ |
D | test_vmap.py | 3573 def construct_v(output, batch_size, contig=False): argument
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