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tensorflow/c/experimental/gradients/nn_grad.cc
Status Compute(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { // Grad for Softmax Input TF_RETURN_IF_ERROR(BroadcastMul( ctx, grad_outputs[0], forward_outputs_[1], grad_inputs.subspan(0, 1))); // upstream_grad * local softmax grad // Grad for labels is null
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.cc
for (int i = 0; i < grad_outputs.size(); i++) { auto grad_input = grad_outputs[i]; // TODO(srbs): Should we add a copy contructor to AbstractTensorHandle // that takes care of this similar to `Tensor`? if (grad_input) { grad_input->Ref(); } grad_inputs[i] = grad_input; } return absl::OkStatus(); } ~IdentityNGradientFunction() override {} };
C++ - Registered: Tue Apr 09 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 1.6K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/custom_gradient_test.cc
if (grad_inputs[0]) { grad_inputs[0]->Ref(); } return absl::OkStatus(); } }; // Computes: // // @tf.custom_gradient // def f(input): // def grad(grads): // return grads[0] // return tf.exp(input), grad // outputs = [f(inputs[0])] Status ExpWithPassThroughGrad(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs,
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/eager/c_api_remote_function_test.cc
bool has_packed_input = false) { return TestRemoteExecuteSilentCopies(async, remote, /*func=*/true, heavy_load_on_streaming_rpc, remote_func_outputs, has_packed_input); } TEST(CAPI, RemoteExecuteSilentCopiesAsyncFunc) {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 3.6K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
if (!outputs[i]) continue; AbstractTensorHandlePtr numerical_grad; { AbstractTensorHandle* numerical_grad_raw; s = CalcNumericalGrad(ctx, model, inputs, /*input_index=*/i, use_function, &numerical_grad_raw); ASSERT_EQ(errors::OK, s.code()) << s.message(); numerical_grad.reset(numerical_grad_raw); } TF_Tensor* numerical_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/eager/custom_device_testutil.cc
TFE_TensorHandle* input = TFE_OpGetFlatInput(original_op, j, s); if (TF_GetCode(s) != TF_OK) return; const char* input_device = TFE_TensorHandleDeviceName(input, s); if (TF_GetCode(s) != TF_OK) return; if (dev->device_name == input_device) { LoggedTensor* t = reinterpret_cast<LoggedTensor*>( TFE_TensorHandleDevicePointer(input, s)); if (TF_GetCode(s) != TF_OK) return;
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Mar 03 20:47:31 GMT 2021 - 8.3K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
int input_index, bool use_function, AbstractTensorHandle** numerical_grad) { vector<AbstractTensorHandle*> theta_inputs(inputs.size()); for (int i{}; i < inputs.size(); ++i) { theta_inputs[i] = inputs[i]; } AbstractTensorHandle* theta = theta_inputs[input_index]; // parameter we are grad checking
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_remote_test_util.cc
absl::StrCat(" signature {" " name: 'MatMulFunction'" " input_arg {" " name: 'a'" " type: DT_FLOAT" " }" " input_arg {" " name: 'b'" " type: DT_FLOAT" " }"
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Dec 11 22:56:03 GMT 2020 - 9.1K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.cc
std::vector<AbstractTensorHandle*>* params) { tracing::TracingTensorHandle* handle = nullptr; for (auto input : inputs) { PartialTensorShape shape; TF_RETURN_IF_ERROR(input->Shape(&shape)); TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingContext>(ctx)->AddParameter( input->DataType(), shape, &handle)); params->emplace_back(handle); } return absl::OkStatus(); }
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/eager/gradient_checker_test.cc
Model model, AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, int input_index, float* expected_grad, int num_grad, bool use_function, double abs_error = 1e-2) { Status s; AbstractTensorHandlePtr numerical_grad; { AbstractTensorHandle* numerical_grad_raw; s = CalcNumericalGrad(ctx, model, inputs, input_index, use_function, &numerical_grad_raw);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Fri Apr 14 10:03:59 GMT 2023 - 6.5K bytes - Viewed (0)