- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 126 for func_20 (0.12 sec)
-
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
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
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
ASSERT_EQ(func_->record->fdef().signature().attr().size(), 2); EXPECT_EQ(func_->record->fdef().signature().attr(0).name(), "v1"); EXPECT_EQ(func_->record->fdef().signature().attr(0).type(), "int"); EXPECT_EQ(func_->record->fdef().signature().attr(1).name(), "v2"); EXPECT_EQ(func_->record->fdef().signature().attr(1).type(), "int"); } void NodeWithAttrHelper(TF_Graph* graph, TF_Status* s, const char* name,
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) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/get-op-cost.mlir
func.func @func_0_CPU(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32> attributes {tac.device = "CPU", tac.interface_name = "func_0"} { // CHECK: tac.cost = 7.864320e+05 %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU", tac.device = "CPU"} : (tensor<256x32x32x3xf32>, tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:29:10 UTC 2022 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/README.md
%1 = call @func_1_GPU_FLOAT(%arg0, %arg3) {tac.device = "GPU", tac.inference_type = "FLOAT", tac.interface_name = "func_1"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32> %2 = call @func_2_CPU_FLOAT(%0, %1) {tac.device = "CPU", tac.inference_type = "FLOAT", tac.interface_name = "func_2"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<2x1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 29 18:32:13 UTC 2022 - 11.6K 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) -
test/func2.go
Rob Pike <******@****.***> 1329622133 +1100
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Sun Feb 19 03:28:53 UTC 2012 - 578 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/compute-cost.mlir
// CHECK: tac.cost = 7.864320e+05 func.func @func_0_CPU(%arg0: tensor<256x32x32x3xf32>, %arg1: tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32> attributes {tac.device = "CPU", tac.interface_name = "func_0"} { %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU", tac.device = "CPU"} : (tensor<256x32x32x3xf32>, tensor<256x32x32x3xf32>) -> tensor<256x32x32x3xf32> func.return %0 : tensor<256x32x32x3xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:29:10 UTC 2022 - 4.1K bytes - Viewed (0)