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tensorflow/c/experimental/gradients/array_grad_test.cc
std::vector<AbstractTensorHandle*> temp_outputs(2); TF_RETURN_IF_ERROR( ops::IdentityN(ctx, inputs, absl::MakeSpan(temp_outputs), "IdentityN")); // 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
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/math_grad.cc
AbstractTensorHandle* temp_output; // Calculate conjugate of X std::string name = "Conj_Log1p_Grad_X"; TF_RETURN_IF_ERROR(SafeConj(ctx, X, &temp_output, name.c_str())); AbstractTensorHandlePtr Conj_X(temp_output); // Creates Ones name = "OnesLike_Log1p_Grad_X"; TF_RETURN_IF_ERROR(OnesLike(ctx, Conj_X.get(), &temp_output, name.c_str()));
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 15.2K bytes - Viewed (0) -
RELEASE.md
large_constant]`) into 32-bit arithmetic in SASS. As a result, these versions of `ptxas` miscompile most XLA programs which use more than 4GB of temp memory. This results in garbage results and/or `CUDA_ERROR_ILLEGAL_ADDRESS` failures. A fix in CUDA 9.1.121 is expected in late February 2018. We do not expect a
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
tape.Watch(inputs[i]); } std::vector<AbstractTensorHandle*> temp_outputs(1); AbstractContextPtr tape_ctx(new TapeContext(ctx, &tape, grad_registry)); TF_RETURN_IF_ERROR( forward_model(tape_ctx.get(), inputs, absl::MakeSpan(temp_outputs))); TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx, /*targets=*/temp_outputs, /*sources=*/inputs,
C++ - Registered: Tue Mar 26 12:39:09 GMT 2024 - Last Modified: Wed Feb 28 13:53:47 GMT 2024 - 5K bytes - Viewed (0)