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Results 1 - 10 of 26 for error (0.15 sec)
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tensorflow/c/experimental/gradients/nn_grad.cc
// Recover data format from forward pass for gradient. std::string data_format; 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],
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/eager/c_api_unified_experimental.cc
"' (available: "); // Ensure deterministic (sorted) order in the error message std::set<string> factories_sorted; for (const auto& factory : GetFactories()) factories_sorted.insert(factory.first); const char* comma = ""; for (const string& factory : factories_sorted) { msg += comma + factory; comma = ", "; } msg += ")"; return errors::InvalidArgument(msg.c_str()); }
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 9K bytes - Viewed (0) -
tensorflow/c/c_api.cc
using tensorflow::string; using tensorflow::Tensor; using tensorflow::TensorId; using tensorflow::TensorShapeProto; using tensorflow::VersionDef; using tensorflow::errors::FailedPrecondition; using tensorflow::errors::InvalidArgument; using tensorflow::errors::OutOfRange; using tensorflow::gtl::ArraySlice; using tensorflow::strings::StrCat; extern "C" {
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 102.3K 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/custom_gradient_test.cc
tape.Watch(inputs[0]); // Watch x. AbstractTensorHandle* exp_output; TF_RETURN_IF_ERROR(ops::Exp(ctx, inputs[0], &exp_output, "Exp")); std::unique_ptr<GradientFunction> gradient_function( new PassThroughGradientFunction); tape.RecordOperation(inputs, {exp_output}, gradient_function.release()); TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx, /*targets*/ {exp_output},
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/filesystem/plugins/posix/posix_filesystem.cc
static void RenameFile(const TF_Filesystem* filesystem, const char* src, const char* dst, TF_Status* status) { // If target is a directory return TF_FAILED_PRECONDITION. // Target might be missing, so don't error in that case. struct stat st; if (stat(dst, &st) != 0) { if (errno != ENOENT) { TF_SetStatusFromIOError(status, errno, dst); return; } } else if (S_ISDIR(st.st_mode)) {
C++ - Registered: Tue Apr 23 12:39:09 GMT 2024 - Last Modified: Sun Mar 24 20:08:23 GMT 2024 - 15.8K bytes - Viewed (0) -
tensorflow/c/c_api_experimental.cc
if (!tensorflow::protobuf::TextFormat::ParseFromString(text_proto, &gdef)) { status->status = tensorflow::errors::Internal( "Invalid text proto for GraphDef: ", text_proto); return {}; } const auto& fdef_lib = gdef.library(); if (fdef_lib.gradient_size() > 0) { status->status = tensorflow::errors::Internal( "GradientDef is not supported in reading Dataset related functions: ", text_proto);
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 29.4K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
} class FunctionErrorInjectionPass : public tensorflow::FunctionOptimizationPass { public: FunctionErrorInjectionPass(string error_node, string error_device) : error_node_(error_node), error_device_(error_device) {} tensorflow::Status Run(const std::string& function_name, const tensorflow::DeviceSet& device_set, const tensorflow::ConfigProto& config_proto,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 23.5K bytes - Viewed (0) -
tensorflow/c/eager/gradient_checker.cc
bool use_function) { AbstractTensorHandle* model_outputs[1]; // Run the model. TF_RETURN_IF_ERROR( RunModel(forward, ctx, inputs, model_outputs, use_function)); AbstractTensorHandlePtr model_out(model_outputs[0]); TF_Tensor* model_out_tensor; TF_RETURN_IF_ERROR(GetValue(model_out.get(), &model_out_tensor)); int num_dims_out = TF_NumDims(model_out_tensor); TF_DeleteTensor(model_out_tensor);
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/gradients_test.cc
ASSERT_EQ(errors::OK, s.code()) << s.message(); if (isa<TracingOperation>(check_numerics_op.get())) { s = dyn_cast<TracingOperation>(check_numerics_op.get()) ->SetOpName("check_numerics"); ASSERT_EQ(errors::OK, s.code()) << s.message(); } s = AddInput(check_numerics_op.get(), t.get(), &forward_op); ASSERT_EQ(errors::OK, s.code()) << s.message();
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Feb 15 09:49:45 GMT 2024 - 7K bytes - Viewed (0)