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Results 1 - 6 of 6 for Unref (2.97 sec)
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tensorflow/c/experimental/gradients/custom_gradient_test.cc
/*sources=*/inputs, /*output_gradients=*/{}, /*result=*/outputs)); exp_output->Unref(); return absl::OkStatus(); } TEST_P(CustomGradientTest, ExpWithPassThroughGrad) { std::unique_ptr<TF_Status, decltype(&TF_DeleteStatus)> status( TF_NewStatus(), TF_DeleteStatus); AbstractContextPtr ctx;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 4.8K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
ASSERT_NEAR(dnumerical[j], danalytical[j], abs_error); } TF_DeleteTensor(analytical_tensor); TF_DeleteTensor(numerical_tensor); delete[] danalytical; delete[] dnumerical; outputs[i]->Unref(); } } void CheckTensorValue(AbstractTensorHandle* t, absl::Span<const float> manuals, absl::Span<const int64_t> dims, double abs_error) { TF_Tensor* analytical_tensor;
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
&grad_inputs[0], name.c_str())); return absl::OkStatus(); } ~ReluGradientFunction() override { for (auto output : forward_outputs_) { if (output) { output->Unref(); } } } private: // TODO(b/174778737): Only hold needed outputs. vector<AbstractTensorHandle*> forward_outputs_; }; Status BroadcastMul(AbstractContext* ctx, AbstractTensorHandle* vec,
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/experimental/gradients/array_grad_test.cc
// Although, `ops::IdentityN` returns 2 tensors, the first tensor isn't needed // for computing gradient so we could safely drop it. outputs[0] = temp_outputs[1]; temp_outputs[0]->Unref(); return absl::OkStatus(); } class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override { TF_StatusPtr status(TF_NewStatus());
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.cc
TF_RETURN_IF_ERROR(model(func_ctx.get(), absl::MakeSpan(func_inputs), absl::MakeSpan(model_outputs))); for (auto func_input : func_inputs) { func_input->Unref(); } AbstractFunction* func = nullptr; OutputList output_list; output_list.expected_num_outputs = 0; output_list.outputs.reserve(outputs.size());
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Feb 27 13:57:45 GMT 2024 - 5.7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad_test.cc
// Although, `ops::SparseSoftmaxCrossEntropyWithLogits` returns 2 tensors, the // second tensor isn't needed for computing gradient so we could safely drop // it. outputs[0] = loss; backprop->Unref(); return absl::OkStatus(); } Status BiasAddModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) {
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)