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Searched defs:contig (Results 1 – 13 of 13) sorted by relevance

/external/pytorch/benchmarks/operator_benchmark/pt/
Dqpool_test.py67 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
Dqarithmetic_test.py34 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
Dqactivation_test.py61 def _setup(self, dims, contig, dtype): argument
78 def init(self, dims, contig, inplace, dtype, op_func): argument
Dqtensor_method_test.py29 def init(self, M, N, dtype, contig): argument
Dqcat_test.py38 def init(self, M, N, K, L, dim, contig, dtype): argument
Dqcomparators_test.py29 def init(self, N, dtype, contig, other_scalar, out_variant, op_func): argument
Dqinterpolate_test.py41 def init(self, M, N, K, dtype, mode, scale, contig): argument
/external/pytorch/aten/src/ATen/native/cpu/
DDistributionKernels.cpp58 bool contig = self.is_contiguous(); in bernoulli_scalar_kernel() local
128 bool contig = self.is_contiguous(); in exponential_kernel() local
/external/pytorch/aten/src/ATen/native/
DLinearAlgebraUtils.h78 … 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()
/external/pytorch/test/nn/
Dtest_pooling.py1332 def helper(input_size, output_plane_size, contig): argument
1383 def helper(n, c, h, w, kernel_size, stride, padding, dilation, contig, device): argument
/external/pdfium/third_party/libtiff/
Dtiffio.h226 tileContigRoutine contig; member
/external/pytorch/test/
Dtest_torch.py3399 def make_arg(batch_sizes, n, dim, contig): argument
3561 def make_arg(batch_sizes, n, dim, contig): argument
/external/pytorch/test/functorch/
Dtest_vmap.py3573 def construct_v(output, batch_size, contig=False): argument