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Results 1 - 10 of 18 for makeChan (0.18 sec)
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test/makechan.go
cui fliter <******@****.***> 1704176745 +0800
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Apr 04 14:29:45 UTC 2024 - 1K bytes - Viewed (0) -
src/cmd/internal/goobj/builtinlist.go
{"runtime.mapdelete_fast32", 1}, {"runtime.mapdelete_fast64", 1}, {"runtime.mapdelete_faststr", 1}, {"runtime.mapiternext", 1}, {"runtime.mapclear", 1}, {"runtime.makechan64", 1}, {"runtime.makechan", 1}, {"runtime.chanrecv1", 1}, {"runtime.chanrecv2", 1}, {"runtime.chansend1", 1}, {"runtime.closechan", 1}, {"runtime.chanlen", 1}, {"runtime.chancap", 1}, {"runtime.writeBarrier", 0},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue May 21 21:08:03 UTC 2024 - 7.4K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/cpp/golden/testing_ops.cc.golden
TF_RETURN_IF_ERROR(op_ptr->Reset("Neg", raw_device_name)); TF_RETURN_IF_ERROR(MaybeSetOpName(op_ptr.get(), name)); TF_RETURN_IF_ERROR(op_ptr->AddInput(x)); int num_retvals = 1; return op_ptr->Execute(absl::MakeSpan(y, 1), &num_retvals); } // Op: MatMul() // Summary: // // Description:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 16 19:04:03 UTC 2023 - 6.5K bytes - Viewed (0) -
tensorflow/c/experimental/ops/gen/cpp/renderers/op_implementation_renderer.cc
} void OpImplementationRenderer::RenderExecutionSingleOutput() { ArgView output_arg = op_.OnlyOutput(); Statement("int num_retvals = 1"); Statement("return $0->Execute(absl::MakeSpan($1, 1), &num_retvals)", op_.VariableName(), output_arg.VariableName()); } void OpImplementationRenderer::RenderExecutionMultipleOutputs() { Statement("int num_retvals = $0", op_.NumOutputs());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 05:51:40 UTC 2024 - 3.7K bytes - Viewed (0) -
tensorflow/c/experimental/saved_model/core/ops/variable_ops.cc
strlen(ResourceHandle::ANONYMOUS_NAME))); AbstractTensorHandle* var_handle = nullptr; int num_retvals = 1; TF_RETURN_IF_ERROR(varhandle_op->Execute( absl::MakeSpan(&var_handle, num_retvals), &num_retvals)); AbstractTensorHandlePtr owned_var_handle(var_handle); if (!tensorflow::isa<ImmediateExecutionTensorHandle>( owned_var_handle.get())) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 23 11:28:19 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/saved_model_import.cc
// Copy to eliminate the `const` qualifier so that `absl::MakeSpan` can be // called on it. std::vector<std::string> exported_names = signature_keys; absl::StatusOr<OwningOpRef<ModuleOp>> module_op = SavedModelSignatureDefsToMlirImport(saved_model_path, tags, absl::MakeSpan(exported_names), &ctx, import_options, &bundle);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 6.4K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/array_grad_test.cc
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. outputs[0] = temp_outputs[1]; temp_outputs[0]->Unref();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 28 13:53:47 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/gradients_test.cc
s = RegisterGradients(®istry); ASSERT_EQ(errors::OK, s.code()) << s.message(); auto tape = std::make_unique<Tape>(/*persistent=*/false); s = Execute(check_numerics_op.get(), ctx.get(), absl::MakeSpan(outputs), &num_retvals, &forward_op, tape.get(), registry); ASSERT_EQ(errors::OK, s.code()) << s.message(); string read_message; s = forward_op.attrs.Get("message", &read_message);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 15 09:49:45 UTC 2024 - 7K bytes - Viewed (0) -
tensorflow/c/experimental/gradients/grad_test_helper.cc
double abs_error) { auto num_inputs = inputs.size(); std::vector<AbstractTensorHandle*> outputs(num_inputs); auto s = RunModel(grad_model, ctx, inputs, absl::MakeSpan(outputs), /*use_function=*/use_function); ASSERT_EQ(errors::OK, s.code()) << s.message(); for (int i = 0; i < num_inputs; ++i) { if (!outputs[i]) continue;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 28 13:53:47 UTC 2024 - 5K bytes - Viewed (0) -
tensorflow/c/eager/unified_api_testutil.cc
std::vector<AbstractTensorHandle*> model_outputs; model_outputs.resize(outputs.size()); TF_RETURN_IF_ERROR(model(func_ctx.get(), absl::MakeSpan(func_inputs), absl::MakeSpan(model_outputs))); for (auto func_input : func_inputs) { func_input->Unref(); } AbstractFunction* func = nullptr; OutputList output_list;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 27 13:57:45 UTC 2024 - 5.7K bytes - Viewed (0)