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Results 1 - 3 of 3 for BiasAdd (0.17 sec)
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tensorflow/c/experimental/gradients/nn_grad_test.cc
Status BiasAddModel(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { return ops::BiasAdd(ctx, inputs[0], inputs[1], &outputs[0], "NHWC", "BiasAdd"); } class CppGradients : public ::testing::TestWithParam<std::tuple<const char*, bool, bool>> { protected: void SetUp() override {
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/experimental/grappler/grappler_test.cc
ASSERT_EQ(status.message(), "'optimize_func' field in TP_Optimizer must be set."); } TEST(TF_GrapplerItem, NodesToPreserve) { GrapplerItem item; item.fetch = std::vector<string>{"Conv", "BiasAdd"}; std::unordered_set<string> nodes_preserved = item.NodesToPreserve(); TF_GrapplerItem* c_item = reinterpret_cast<TF_GrapplerItem*>(&item); int list_total_size = 0; for (const string& s : nodes_preserved) {
C++ - Registered: Tue Feb 27 12:39:08 GMT 2024 - Last Modified: Thu Apr 13 22:30:58 GMT 2023 - 11.6K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/nn_grad.cc
Status Compute(AbstractContext* ctx, absl::Span<AbstractTensorHandle* const> grad_outputs, absl::Span<AbstractTensorHandle*> grad_inputs) override { /* Given upstream grad U and a BiasAdd: A + bias, the gradients are: * * dA = U * dbias = reduceSum(U, dims = channel_dim) */ AbstractTensorHandle* upstream_grad = grad_outputs[0]; DCHECK(upstream_grad);
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)