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tensorflow/c/experimental/gradients/nn_grad_test.cc
outputs[0]->Unref(); } TEST_P(CppGradients, TestSparseSoftmaxCrossEntropyWithLogitsGrad) { if (UseFunction()) { // TODO(b/168850692): Enable this. GTEST_SKIP() << "Can't take gradient of " "SparseSoftmaxCrossEntropyWithLogits in tracing mode."; } // Score float X_vals[] = {1.0f, 2.0f, 3.0f, -5.0f, -4.0f, -3.0f, 2.0f, 0.0f, -1.0f};
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 8.3K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_test.cc
ASSERT_EQ(errors::OK, s.code()) << s.message(); } TEST_P(UnifiedAPI, TestUnknownShapeTracing) { if (!UseFunction()) { GTEST_SKIP() << "Tracing only test."; } if (UseMlir()) { // TODO(b/173074167): Remove this. GTEST_SKIP() << "MlirTensor::Shape is not implemented yet."; } AbstractContextPtr ctx(BuildFunction("test_fn")); AbstractTensorHandlePtr x; {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 6.7K bytes - Viewed (0) -
tensorflow/c/c_api_test.cc
TEST(CAPI, Session_Min_GPU) { const string gpu_device = GPUDeviceName(); // Skip this test if no GPU is available. if (gpu_device.empty()) return; RunMinTest(gpu_device, /*use_XLA=*/false); } TEST(CAPI, Session_Min_XLA_GPU) { const string gpu_device = GPUDeviceName(); // Skip this test if no GPU is available. if (gpu_device.empty()) return;
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
opts.prefix = prefix; for (int i = 0; i < dst_inputs.size(); ++i) { opts.input_map[ToTensorId(src_inputs[i])] = TensorId(dst_inputs[i].node()->name(), dst_inputs[i].index()); } opts.skip_mapped_nodes = true; for (const tensorflow::Operation& op : control_deps) { opts.control_dependencies.push_back(op.node()->name()); } for (int i = 0; i < nreturn_nodes; ++i) {
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/eager/tape.h
op_stack.pop_back(); auto op_it = state.op_tape.find(op); if (op_it == state.op_tape.end()) { // It is possible for ops to end up on the stack if they are unrelated to // the target; we should just skip them. continue; } auto trace = std::move(op_it->second); state.op_tape.erase(op_it); std::vector<Gradient*> out_gradients; out_gradients.reserve(trace.output_tensor_info.size());
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) -
RELEASE.md
advanced use cases can also write their own custom `tf.train.experimental.ShardingCallback`s. * `tf.train.CheckpointOptions` * Added `experimental_skip_slot_variables` (a boolean option) to skip restoring of optimizer slot variables in a checkpoint. * `tf.saved_model.SaveOptions` * `SaveOptions` now takes a new argument called
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/c_api_experimental.h
// and set the device name. It's effectively `TFE_OpSetDevice`, but it is faster // than separately calling it because if the existing op has the same // `raw_device_name`, it skips parsing and just leave as it is. TF_CAPI_EXPORT extern void TFE_OpReset(TFE_Op* op_to_reset, const char* op_or_function_name, const char* raw_device_name,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 39.5K bytes - Viewed (0) -
.bazelrc
# avx_linux: Build with avx instruction set on linux. # avx_win: Build with avx instruction set on windows # # Other build options: # short_logs: Only log errors during build, skip warnings. # verbose_logs: Show all compiler warnings during build. # monolithic: Build all TF C++ code into a single shared object. # dynamic_kernels: Try to link all kernels dynamically (experimental).
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Thu May 02 19:34:20 GMT 2024 - 52.8K bytes - Viewed (2)