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Results 1 - 3 of 3 for Dias (0.17 sec)
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tensorflow/c/experimental/gradients/nn_grad.cc
TF_RETURN_IF_ERROR(forward_attrs_.Get("data_format", &data_format)); // Grad for A grad_inputs[0] = upstream_grad; grad_inputs[0]->Ref(); // Grad for bias std::string name = "bias_add_grad"; TF_RETURN_IF_ERROR(BiasAddGrad(ctx, upstream_grad, &grad_inputs[1], data_format.c_str(), name.c_str())); return absl::OkStatus(); }
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/nn_grad_test.cc
A.reset(A_raw); } // Bias float Bias_vals[] = {2.0f, 3.0f}; int64_t Bias_dims[] = {2}; AbstractTensorHandlePtr Bias; { AbstractTensorHandle* Bias_raw; status_ = TestTensorHandleWithDims<float, TF_FLOAT>( immediate_execution_ctx_.get(), Bias_vals, Bias_dims, 1, &Bias_raw); ASSERT_EQ(errors::OK, status_.code()) << status_.message(); Bias.reset(Bias_raw); }
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) -
RELEASE.md
* XLA reduction emitter is deterministic when the environment variable `TF_DETERMINISTIC_OPS` is set to "true" or "1". This extends deterministic `tf.nn.bias_add` back-prop functionality (and therefore also deterministic back-prop of bias-addition in Keras layers) to include when XLA JIT compilation is enabled. * Fix problem, when running on a CUDA GPU and when either environment
Plain Text - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Wed Apr 03 20:27:38 GMT 2024 - 727.4K bytes - Viewed (8)