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Caffe2 - Python API
A deep learning, cross platform ML framework
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Caffe2 - Python API
A deep learning, cross platform ML framework
|
This is the complete list of members for test_nn.TestNN, including all inherited members.
| __init__(self, method_name='runTest') (defined in common_utils.TestCase) | common_utils.TestCase | |
| assertAlmostEqual(self, x, y, places=None, msg=None, delta=None, allow_inf=None) (defined in common_utils.TestCase) | common_utils.TestCase | |
| assertEqual(self, x, y, prec=None, message='', allow_inf=False) (defined in common_utils.TestCase) | common_utils.TestCase | |
| assertExpected(self, s, subname=None) (defined in common_utils.TestCase) | common_utils.TestCase | |
| assertExpectedInline(self, actual, expect, skip=0) (defined in expecttest.TestCase) | expecttest.TestCase | |
| assertExpectedRaises(self, exc_type, callable, args, kwargs) (defined in common_utils.TestCase) | common_utils.TestCase | |
| assertLeaksNoCudaTensors(self, name=None) (defined in common_utils.TestCase) | common_utils.TestCase | |
| assertNotEqual(self, x, y, prec=None, message='') (defined in common_utils.TestCase) | common_utils.TestCase | |
| assertObjectIn(self, obj, iterable) (defined in common_utils.TestCase) | common_utils.TestCase | |
| assertRaisesRegex (defined in common_utils.TestCase) | common_utils.TestCase | static |
| assertRegex (defined in common_utils.TestCase) | common_utils.TestCase | static |
| assertTensorsSlowEqual(self, x, y, prec=None, message='') (defined in common_utils.TestCase) | common_utils.TestCase | |
| assertWarns(self, callable, msg='') (defined in common_utils.TestCase) | common_utils.TestCase | |
| assertWarnsRegex(self, callable, regex, msg='') (defined in common_utils.TestCase) | common_utils.TestCase | |
| block (defined in test_nn.TestNN) | test_nn.TestNN | |
| check_backward_hook_flag (defined in test_nn.TestNN) | test_nn.TestNN | |
| check_criterion_jacobian(self, criterion, input, target) (defined in common_nn.NNTestCase) | common_nn.NNTestCase | |
| check_jacobian(self, module, input, jacobian_input=True) (defined in common_nn.NNTestCase) | common_nn.NNTestCase | |
| dummy_param (defined in test_nn.TestNN) | test_nn.TestNN | |
| genSparseTensor(self, size, sparse_dim, nnz, is_uncoalesced, device='cpu') (defined in common_utils.TestCase) | common_utils.TestCase | |
| l (defined in test_nn.TestNN) | test_nn.TestNN | |
| l1 (defined in test_nn.TestNN) | test_nn.TestNN | |
| l2 (defined in test_nn.TestNN) | test_nn.TestNN | |
| layer_dummy_param (defined in test_nn.TestNN) | test_nn.TestNN | |
| linear (defined in test_nn.TestNN) | test_nn.TestNN | |
| longMessage (defined in expecttest.TestCase) | expecttest.TestCase | static |
| maxDiff (defined in common_utils.TestCase) | common_utils.TestCase | static |
| p (defined in test_nn.TestNN) | test_nn.TestNN | |
| par (defined in test_nn.TestNN) | test_nn.TestNN | |
| param (defined in test_nn.TestNN) | test_nn.TestNN | |
| precision (defined in common_utils.TestCase) | common_utils.TestCase | static |
| run_conv_double_back_test(self, kern, stride, padding, chan_in, chan_out, batch_size, inp_size, dilation, no_weight, groups=1, use_cuda=False, use_bias=True, dtype=torch.double) (defined in test_nn.TestNN) | test_nn.TestNN | |
| run_grad_conv_test(self, func_forward, func_backward, dim=1, gradient='input') (defined in test_nn.TestNN) | test_nn.TestNN | |
| safeCoalesce(self, t) (defined in common_utils.TestCase) | common_utils.TestCase | |
| safeToDense(self, t) (defined in common_utils.TestCase) | common_utils.TestCase | |
| setUp(self) (defined in common_utils.TestCase) | common_utils.TestCase | |
| test_adaptive_log_softmax(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_adaptive_pooling_input_size(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_adaptive_pooling_size_none(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_AdaptiveMaxPool1d_indices(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_AdaptiveMaxPool1d_indices_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_AdaptiveMaxPool2d_indices(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_AdaptiveMaxPool2d_indices_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_AdaptiveMaxPool3d_indices(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_AdaptiveMaxPool3d_indices_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_add_module(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_add_module_raises_error_if_attr_exists(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_affine_2d_rotate0(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_affine_2d_rotate45(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_affine_2d_rotate90(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_affine_2d_rotateRandom(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_affine_3d_rotateRandom(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_affine_grid(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_AlphaDropout(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_assignment(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_AvgPool3d_backward_after_cat_dim1_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_cudnn_half(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_eval(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_eval_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_grad(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_grad_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_large_batch(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_raises_error_if_bias_is_not_same_size_as_input(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_raises_error_if_weight_is_not_same_size_as_input(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_simple_average(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_simple_average_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_update_stats(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_batchnorm_update_stats_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bce_loss_always_nonnegative(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bce_loss_broadcasts_weights(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bce_with_logits_broadcasts_pos_weights(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bce_with_logits_broadcasts_weights(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bce_with_logits_has_correct_grad_at_zero(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bce_with_logits_raises_if_target_and_input_are_different_size(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bce_with_logits_stability(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bilinear(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bilinear_broadcasting(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_bilinear_no_bias(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_broadcast_double_backwards_gpu(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_broadcast_no_grad(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_broadcast_not_requiring_grad(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_buffers_and_named_buffers(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_call_supports_python_dict_output(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_children(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_clip_grad_norm(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_clip_grad_value(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_container_copy(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_contig_wrong_stride_cudnn(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Conv2d_backward_twice(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Conv2d_depthwise_naive_groups_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Conv2d_deterministic_cudnn(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Conv2d_groups_nobias(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Conv2d_inconsistent_types(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Conv2d_inconsistent_types_on_GPU_with_cudnn(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Conv2d_inconsistent_types_on_GPU_without_cudnn(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Conv2d_large_workspace(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Conv2d_missing_argument(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Conv2d_naive_groups(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Conv2d_naive_groups_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_double_backward(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_double_backward_cuda(self, dtype=torch.double) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_double_backward_groups(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_double_backward_no_bias(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_double_backward_stride(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_modules_raise_error_on_incorrect_input_size(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_noncontig_weights(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_noncontig_weights_and_bias(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_noncontig_weights_and_bias_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_noncontig_weights_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_shapecheck(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_conv_tbc(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_ConvTranspose2d_output_size(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_ConvTranspose3d_correct_output_size(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_cosine_embedding_loss_margin_no_reduce(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_cosine_embedding_loss_no_reduce(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_cosine_similarity(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_CTCLoss_cudnn(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_CTCLoss_lengthchecks_cpu(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_CTCLoss_lengthchecks_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_CTCLoss_typechecks(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_CTCLoss_zero_infinity(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_cuda_rnn_fused(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_cudnn_multiple_threads_same_device(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_cudnn_noncontiguous_weight(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_cudnn_rnn_dropout_states_device(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_cudnn_weight_format(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_cudnn_weight_tying(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_buffers_requiring_grad(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_device_args(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_model_device(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_model_no_refcycles(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_module(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_module_kwargs_only(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_module_kwargs_only_empty_dict(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_module_kwargs_only_empty_list(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_module_kwargs_only_empty_tuple(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_multiple_input(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_nested_input(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_nested_output(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_no_grad(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_small_back(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_data_parallel_sparse(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_dir(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_dir_digit(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Dropout(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Dropout2d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Dropout2d_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Dropout3d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Dropout3d_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Dropout_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_elu_inplace_gradgrad(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_elu_inplace_view(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embedding_bag(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embedding_bag_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embedding_from_pretrained(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embedding_from_pretrained_options(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embedding_functional(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embedding_max_norm(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embedding_max_norm_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embedding_padding_idx(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embedding_sparse_basic(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embedding_sparse_empty_tensor(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embeddingbag_from_pretrained(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_embeddingbag_from_pretrained_options(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_FeatureAlphaDropout(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_fold_invalid_arg(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_fractional_max_pool2d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_gather_cpu(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_gather_different_len_dicts(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_gather_gpu(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_grad_conv1d_input(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_grad_conv1d_weight(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_grad_conv2d_input(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_grad_conv2d_weight(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_grad_conv3d_input(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_grad_conv3d_weight(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_grid_sample(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_grid_sample_3d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_grid_sample_error_checking(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_GroupNorm_general(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_GroupNorm_general_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_gumbel_softmax(self, dtype=torch.float) | test_nn.TestNN | |
| test_gumbel_softmax_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_hardtanh_inplace_gradgrad(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_hook_cpp(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_hook_fail(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_hook_writeable(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_hooks(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_inplace_thnn(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_InstanceNorm1d_general(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_InstanceNorm1d_general_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_InstanceNorm2d_general(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_InstanceNorm2d_general_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_InstanceNorm3d_general(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_InstanceNorm3d_general_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_interpolate(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_invalid_conv1d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_invalid_conv2d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_invalid_conv3d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_invalid_dropout_p(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_KLDivLoss_batch_mean(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_LayerNorm_general(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_LayerNorm_general_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_linear_broadcasting(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_load_state_dict(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_load_state_dict_BC(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_loss_equal_input_target_shape(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_LSTM_cell(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_margin_ranking_loss_margin_no_reduce(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_margin_ranking_loss_no_reduce(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_max_pool_nan(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_max_pool_nan_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_MaxPool1d_indices(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_MaxPool1d_indices_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_MaxPool2d_indices(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_MaxPool2d_indices_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_MaxPool3d_indices(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_MaxPool3d_indices_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_MaxUnpool2d_output_size(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_module_backcompat(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_module_to_argparse(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_ModuleDict(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_ModuleList(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_modules(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_named_children(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_named_modules(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_nll_loss_mismatched_batch(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_nll_loss_out_of_bounds_ignore_index(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_nn_scalars(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_nn_scalars_reductions(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_nnpack_conv(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_no_grad(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_non_leaf_parameters(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_noncontig_conv_grad_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_nonlinearity_propagate_nan(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_nonlinearity_propagate_nan_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_normalize(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_one_hot(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_one_hot_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pack_padded_sequence(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pack_sequence(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pad(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pad_scalar_error(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pad_sequence(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pairwise_distance(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_parallel_apply(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_parameter_assignment(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_ParameterDict(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_ParameterList(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_parameters_and_named_parameters(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_parameters_to_vector(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pdist(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pdist_cpu_gradgrad_unimplemented(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pdist_cuda_gradgrad_unimplemented(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pdist_empty_col(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pdist_empty_row(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pdist_zeros(self) | test_nn.TestNN | |
| test_pixel_shuffle(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pointwise_loss_broadcast(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pointwise_loss_target_grad_none_reduction(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_poisson_nll_loss_reduction_modes(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pool3d_size_one_feature_dim(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pool_large_size(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_pool_large_size_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_PReLU_backward_requires_grad_false(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_register_buffer_allows_overwriting_with_same_name(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_register_buffer_raises_error_if_attr_exists(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_register_buffer_raises_error_if_name_is_not_string(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_register_buffer_raises_error_if_not_tensor(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_register_parameter_allows_overwriting_with_same_name(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_register_parameter_raises_error_if_attr_exists(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_register_parameter_raises_error_if_name_is_not_string(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_relu_inplace_view(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_replicate(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_replicate_buffers(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_repr(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_rnn_args_check(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_RNN_cell(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_RNN_cell_no_broadcasting(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_RNN_change_dropout(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_rnn_check_device(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_RNN_cpu_vs_cudnn_no_dropout(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_RNN_cpu_vs_cudnn_with_dropout(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_RNN_cudnn_weight_norm(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_RNN_dropout(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_RNN_dropout_state(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_rnn_initial_hidden_state(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_rnn_retain_variables(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_rnn_retain_variables_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_scatter_cpu(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_scatter_gpu(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Sequential_delitem(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Sequential_getitem(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Sequential_setitem(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_Sequential_setitem_named(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_share_memory(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_softmax_backward(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_softmax_backward_cuda(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_softmax_dtype(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_softmin(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_spectral_norm(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_spectral_norm_dim(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_spectral_norm_forward(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_spectral_norm_load_state_dict(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_spectral_norm_pickle(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_state_dict(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_threshold_int(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_to(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_triplet_margin_loss(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_triplet_margin_loss_no_reduce(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_triplet_margin_loss_swap(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_triplet_margin_loss_swap_no_reduce(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_type(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_unfold_invalid_arg(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_upsamplingBicubic2d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_upsamplingBilinear2d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_upsamplingBilinear2d_spatial_invariance(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_upsamplingLinear1d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_upsamplingLinear1d_spatial_invariance(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_upsamplingNearest1d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_upsamplingNearest2d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_upsamplingNearest3d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_upsamplingTrilinear3d(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_upsamplingTrilinear3d_spatial_invariance(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_variable_sequence(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_variable_sequence_cuda(self, dtype=torch.float) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_vector_to_parameters(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_weight_norm(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_weight_norm_pickle(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| test_zero_grad(self) (defined in test_nn.TestNN) | test_nn.TestNN | |
| wrap_with_cuda_memory_check(self, method) (defined in common_utils.TestCase) | common_utils.TestCase |
1.8.11
