Searched refs:min_dim (Results 1 – 7 of 7) sorted by relevance
| /external/tensorflow/tensorflow/core/kernels/ |
| D | eigen_mkldnn_contraction_kernel_test.cc | 31 Eigen::array<Index, NumDims> RandomDims(int min_dim = 1, int max_dim = 20) { in RandomDims() argument
34 dims[i] = internal::random<int>(min_dim, max_dim); in RandomDims()
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| /external/OpenCL-CTS/test_conformance/thread_dimensions/ |
| D | test_thread_dimensions.cpp | 416 … cl_context context, cl_command_queue queue, cl_uint dimensions, cl_uint min_dim, cl_uint max_dim,… in test_thread_dimensions() argument
549 min_x_size = min_dim; in test_thread_dimensions()
552 min_y_size = min_dim; in test_thread_dimensions()
556 min_z_size = min_dim; in test_thread_dimensions()
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| /external/tensorflow/tensorflow/core/ops/ |
| D | array_ops.cc | 925 DimensionHandle min_dim; in __anon42d741191202() local
927 c->Min(c->Dim(in, rank - 2), c->Dim(in, rank - 1), &min_dim)); in __anon42d741191202()
928 dims.push_back(min_dim); in __anon42d741191202()
2102 const int32 min_dim = -1 * rank - 1; in __anon42d741192f02() local
2103 if (dim < min_dim || dim > rank) { in __anon42d741192f02()
2105 min_dim, ", ", rank, "]."); in __anon42d741192f02()
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| /external/igt-gpu-tools/tests/ |
| D | kms_chamelium.c | 2023 int min_dim; in randomize_plane_setup() local
2051 min_dim = igt_format_is_yuv(*format) ? 16 : 8; in randomize_plane_setup()
2053 *width = max((rand() % mode->hdisplay) + 1, 2 * min_dim); in randomize_plane_setup()
2054 *height = max((rand() % mode->vdisplay) + 1, 2 * min_dim); in randomize_plane_setup()
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| /external/tensorflow/tensorflow/python/ops/ |
| D | array_grad.py | 443 min_dim = math_ops.reduce_min(matrix_shape)
444 diag_shape = array_ops.concat([batch_shape, [min_dim]], 0)
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| /external/libaom/libaom/av1/common/ |
| D | resize.c | 1326 const int min_dim = AOMMIN(16, *dim); in calculate_scaled_size_helper() local
1331 *dim = AOMMAX(*dim, min_dim); in calculate_scaled_size_helper()
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| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| D | pfor.py | 2540 min_dim = math_ops.minimum(b_shape[0], b_shape[1])
2542 math_ops.equal(min_dim, 1), lambda: [0, 1, 2], lambda: [1, 0, 2])
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