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Results 1 - 10 of 17 for Perron (0.17 sec)
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tensorflow/c/experimental/gradients/nn_grad.cc
ImmediateTensorHandlePtr dim(imm_ctx->CreateLocalHandle(minus_1.get())); AbstractTensorHandle* expand_dims_outputs; TF_RETURN_IF_ERROR( ops::ExpandDims(ctx, vec, dim.get(), &expand_dims_outputs, "ExpandDims")); TF_RETURN_IF_ERROR( ops::Mul(ctx, expand_dims_outputs, mat, &outputs[0], "Mul")); expand_dims_outputs->Unref(); 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/c_api.cc
"Operation '", op.node.DebugString(), "' was changed by ", mutation_type, " after it was run by a session. This mutation will have no effect, " "and will trigger an error in the future. Either don't modify " "nodes after running them or create a new session."); } } } namespace { // Helper method that creates a shape handle for a shape described by dims.
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/filesystem/plugins/posix/posix_filesystem.cc
read += r; } else if (r == 0) { TF_SetStatus(status, TF_OUT_OF_RANGE, "Read fewer bytes than requested"); break; } else if (errno == EINTR || errno == EAGAIN) { // Retry } else { TF_SetStatusFromIOError(status, errno, posix_file->filename); break; } } return read; } } // namespace tf_random_access_file
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/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/c_api_experimental.cc
} // Load a Pluggable Device library. // On success, returns the handle to library in result and return OK from the // function. Otherwise return nullptr in result and error Status from the // function. // // If `library_filename` has already been loaded, we return a cached handle. // Device and Kernels/Ops are registered as globals when a library is loaded // for the first time.
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/experimental/gradients/array_grad_test.cc
absl::Span<AbstractTensorHandle* const> inputs, absl::Span<AbstractTensorHandle*> outputs) { 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.
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/c_api_function.cc
Node* node = inputs[i].oper ? &inputs[i].oper->node : nullptr; int idx = inputs[i].index; TF_RETURN_WITH_CONTEXT_IF_ERROR( fn_body->graph.IsValidOutputTensor(node, idx), "Encountered while processing input ", i, " into function '", fn_name, "'"); TF_RETURN_WITH_CONTEXT_IF_ERROR(ValidateNonRefOutput(node, idx), "Encountered while processing input ", i,
C++ - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Apr 15 03:35:10 GMT 2024 - 13.6K bytes - Viewed (2) -
tensorflow/c/experimental/gradients/math_grad.cc
// Get transpose attrs bool t_a; TF_RETURN_IF_ERROR(forward_attrs_.Get("transpose_a", &t_a)); bool t_b; TF_RETURN_IF_ERROR(forward_attrs_.Get("transpose_b", &t_b)); // Conj each input AbstractTensorHandle* conj_output; std::string name = "Conj_A_MatMul_Grad"; TF_RETURN_IF_ERROR( SafeConj(ctx, forward_inputs_[0], &conj_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) -
tensorflow/c/eager/unified_api_testutil.cc
for (auto input : inputs) { TF_RETURN_IF_ERROR(fn_op->AddInput(input)); } int retvals = outputs.size() - null_indices.size(); std::vector<AbstractTensorHandle*> fn_outputs(retvals); TF_RETURN_IF_ERROR(fn_op->Execute( absl::Span<AbstractTensorHandle*>(fn_outputs.data(), fn_outputs.size()), &retvals)); int skipped_indices = 0;
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)