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Results 1 - 10 of 123 for func_10 (0.13 sec)
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tensorflow/compiler/mlir/lite/experimental/tac/tests/get-alternative-subgraph.mlir
%0 = func.call @func_0_GPU_FLOAT(%arg0, %arg1, %arg2) {tac.interface_name = "func_0"} : (tensor<1xf32>, tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> %1 = func.call @func_1_GPU_FLOAT(%arg0, %arg3) {tac.interface_name = "func_1"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> %2 = func.call @func_2_CPU_FLOAT(%0, %1) {tac.interface_name = "func_2"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32> func.return %2 : tensor<2x1xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.1K bytes - Viewed (0) -
test/closure3.dir/main.go
return func(x int) int { // ERROR "can inline main.func12" return x + 1 }, 42 }() // ERROR "func literal does not escape" "inlining call to main.func12" if y(40) != 41 { ppanic("y(40) != 41") } } { func() { // ERROR "func literal does not escape" y := func(x int) int { // ERROR "func literal does not escape" "can inline main.func13.1" return x + 2 }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Aug 17 19:36:29 UTC 2023 - 8.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/pick-subgraphs.mlir
%0 = func.call @func_0_GPU_FLOAT(%arg0, %arg1, %arg2) {tac.device = "GPU", tac.inference_type = "FLOAT", tac.interface_name = "func_0"} : (tensor<100xf32>, tensor<100xf32>, tensor<100xf32>) -> tensor<100xf32> %1 = func.call @func_1_GPU_FLOAT(%arg0, %arg3) {tac.device = "GPU", tac.inference_type = "FLOAT", tac.interface_name = "func_1"} : (tensor<100xf32>, tensor<100xf32>) -> tensor<100xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 24.3K bytes - Viewed (0) -
tensorflow/c/c_api_function_test.cc
if (GetName(funcs[0]) == GetName(func0)) { AssertEqual(func0, funcs[0]); AssertEqual(func1, funcs[1]); } else { AssertEqual(func0, funcs[1]); AssertEqual(func1, funcs[0]); } TF_DeleteFunction(funcs[0]); TF_DeleteFunction(funcs[1]); TF_DeleteFunction(func0); TF_DeleteFunction(func1); } } // namespace
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jul 20 22:08:54 UTC 2023 - 63.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/raise-target-subgraphs.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 74.9K bytes - Viewed (0) -
src/internal/trace/testdata/testprog/stacks.go
} go func() { // func10 c, err := ln.Accept() if err != nil { log.Printf("failed to accept: %v", err) return } c.Close() }() rp, wp, err := os.Pipe() if err != nil { log.Fatalf("failed to create a pipe: %v", err) } defer rp.Close() defer wp.Close() pipeReadDone := make(chan bool) go func() { // func11 var data [1]byte rp.Read(data[:])
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 17 18:48:18 UTC 2024 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/transforms/fold_constants_to_subgraph.cc
// See the example below: // // In main: // %0 = tfl.const... // %1 = tfl.const... // %2 = call func_1(..., %0,...) // %3 = call func_2(..., %0, ..., %1...) // ... // // Then those consts will be copied into each function and replace their usage. // func_1: // %0 = tfl.const... // func_2: // %0 = tfl.const... // %1 = tfl.const... class FoldConstantsToSubgraphPass
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/common/subgraph.h
// Take the following example: // // call @func_1_CPU {tac.interface_name = "func_1"} // // "func_1" is the interface name where "func_1_cpu" is the real implementation // we can have multiple FuncOps like "func_1_cpu" and "func_1_gpu" and they // both implement "func_1". // // The attribute on the FuncOp means what it actually implements while the
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 28 05:18:47 UTC 2023 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/uniform_quantized_types_test.cc
ASSERT_TRUE(module_op); auto func_op = module_op->lookupSymbol<func::FuncOp>("fully_quantized_add"); ASSERT_THAT(func_op, NotNull()); auto add_op_itr = func_op.getBody().op_begin<mlir::stablehlo::AddOp>(); ASSERT_THAT(add_op_itr, Ne(func_op.getBody().op_end<mlir::stablehlo::AddOp>())); EXPECT_TRUE(IsOpFullyQuantized(*add_op_itr)); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 28.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/merge_duplicate_resource_ops.cc
// exist. // TODO(b/284222084): Move executor dialect utilities to a new library. GraphOp GetGraphOpFromFuncOp(func::FuncOp func_op) { if (func_op->getNumRegions() == 0 || func_op.getBody().empty()) return {}; auto graph_op_range = func_op.front().without_terminator(); if (llvm::hasSingleElement(graph_op_range)) { // The pass runs on a valid tf_executor dialect, so the op should be the // GraphOp.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 26 04:26:16 UTC 2023 - 4.7K bytes - Viewed (0)