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Results 1 - 5 of 5 for Fix (0.27 sec)
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tensorflow/c/experimental/gradients/nn_grad.cc
AbstractTensorHandle* mat, absl::Span<AbstractTensorHandle*> outputs) { if (!isa<ImmediateExecutionContext>(ctx)) { // TODO(b/168850692): Fix this. return errors::Unimplemented( "BroadcastMul is not supported in tracing mode yet."); } auto imm_ctx = dyn_cast<ImmediateExecutionContext>(ctx); AbstractTensorPtr minus_1(imm_ctx->CreateInt32Scalar(-1));
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/c_api.cc
body_fn, params->name, &loop_outputs); // Update name_map with newly-created ops. // TODO(skyewm): right now BuildWhileLoop() may alter the graph if it returns // a bad status. Once we fix this, we may want to return early instead of // executing the following code. for (int i = first_new_node_id; i < parent->graph.num_node_ids(); ++i) { Node* new_node = parent->graph.FindNodeId(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/c_api_test.cc
ASSERT_TRUE(o == nullptr); // It is unsafe to move memory TF might not own. TF_DeleteTensor(t); EXPECT_TRUE(deallocator_called); } TEST(CAPI, LibraryLoadFunctions) { // TODO(b/73318067): Fix linking for the GPU test generated by the // tf_cuda_cc_test() bazel rule and remove the next line. if (!GPUDeviceName().empty()) return; #if !defined(TENSORFLOW_NO_SHARED_OBJECTS) { // Load the library.
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/eager/c_api_test.cc
} void ExecuteAdd(bool async, bool forward_input, bool tfrt) { #ifdef PLATFORM_WINDOWS // On windows, we flakily get a failure due to pointer instability. // Disable the 4 tests using this helper until we fix the issue. return; #else TF_Status* status = TF_NewStatus(); TFE_ContextOptions* opts = TFE_NewContextOptions(); TFE_ContextOptionsSetTfrt(opts, tfrt);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Aug 03 20:50:20 GMT 2023 - 94.6K bytes - Viewed (1) -
tensorflow/c/eager/gradients.cc
// and not for correctness. The only downside of keeping this 1 seems to be // that the gradient accumulation is unbounded and we will never // aggressively aggregate accumulated gradients to recover memory. // Revisit and fix. return 1; } // Consumes references to the tensors in the gradient_tensors list and returns // a tensor with the result. AbstractTensorHandle* TapeVSpace::AggregateGradients(
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 19.3K bytes - Viewed (0)