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tensorflow/c/c_api_test.cc
TF_DeleteStatus(s_); } void TestGradientsSuccess(bool grad_inputs_provided) { TF_Output inputs[2]; TF_Output outputs[1]; TF_Output grad_outputs[2]; TF_Output expected_grad_outputs[2]; BuildSuccessGraph(inputs, outputs); BuildExpectedGraph(grad_inputs_provided, expected_grad_outputs); AddGradients(grad_inputs_provided, nullptr, inputs, 2, outputs, 1,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 96.9K bytes - Viewed (3) -
tensorflow/c/c_api.cc
n->name(), "). This is a bug. Please file an issue at " "https://github.com/tensorflow/tensorflow/issues."); } } } // Unpack the results from grad_outputs_arg. TFOutputsFromOutputs(dy_arg, dy); #endif // defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD) } // TF_Session functions ----------------------------------------------
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K bytes - Viewed (0) -
tensorflow/c/BUILD
":env", ":logging", ":tf_status", ":tf_tensor", "//tensorflow/c/experimental/filesystem:modular_filesystem", "//tensorflow/cc:grad_ops", "//tensorflow/cc:gradients", "//tensorflow/cc:ops", "//tensorflow/cc:scope_internal", "//tensorflow/cc:while_loop",
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 27 18:00:18 GMT 2024 - 30.3K bytes - Viewed (0) -
RELEASE.md
* Infer `tf.contrib.distributions.RelaxedOneHotCategorical` `dtype` from arguments. * Make `tf.contrib.distributions` quadrature family parameterized by `quadrature_grid_and_prob` vs `quadrature_degree`. * `auto_correlation` added to `tf.contrib.distributions` * Add `tf.contrib.bayesflow.layers`, a collection of probabilistic (neural) layers.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/c/eager/BUILD
"//tensorflow/c:c_api", "//tensorflow/c:c_test_util", "//tensorflow/c:tf_status_helper", "//tensorflow/c/experimental/gradients:array_grad", "//tensorflow/c/experimental/gradients:math_grad", "//tensorflow/c/experimental/gradients:not_differentiable", "//tensorflow/c/experimental/gradients/tape:tape_context", "//tensorflow/c/experimental/ops",
Plain Text - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Apr 11 23:52:39 GMT 2024 - 33.3K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/BUILD
], ) cc_library( name = "gradients", hdrs = [ "array_grad.h", "math_grad.h", "nn_grad.h", "not_differentiable.h", ], visibility = [ "//tensorflow:internal", ], deps = [ ":array_grad", ":math_grad", ":nn_grad", ":not_differentiable", "//tensorflow/c/eager:abstract_context",
Plain Text - Registered: Tue Apr 09 12:39:09 GMT 2024 - Last Modified: Mon Apr 01 20:39:44 GMT 2024 - 6.7K bytes - Viewed (0) -
tensorflow/c/eager/tape.h
int64_t tensor_id = source_tensor_ids[i]; auto grad_it = gradients.find(tensor_id); if (grad_it == gradients.end()) { result[i] = nullptr; } else { if (grad_it->second.size() > 1) { Gradient* grad = vspace.AggregateGradients(grad_it->second); grad_it->second.clear(); grad_it->second.push_back(grad); } result[i] = grad_it->second[0]; used_gradient_ids.insert(tensor_id);
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
configure.py
# Due to a known MSVC compiler issue # https://github.com/tensorflow/tensorflow/issues/10521 # Overriding eigen strong inline speeds up the compiling of # conv_grad_ops_3d.cc and conv_ops_3d.cc by 20 minutes, # but this also hurts the performance. Let users decide what they want. write_to_bazelrc('build --define=override_eigen_strong_inline=true')
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 18:25:36 GMT 2024 - 53.8K bytes - Viewed (1) -
tensorflow/c/c_api_function.cc
if (TF_GetCode(status) != TF_OK) return; if (!grad) return; status->status = g->graph.AddFunctionDef(grad->record->fdef(), grad->record->stack_traces()); if (TF_GetCode(status) != TF_OK) return; tensorflow::GradientDef gdef; gdef.set_function_name(func->record->fdef().signature().name()); gdef.set_gradient_func(grad->record->fdef().signature().name());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2)