- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 364 for input0 (0.27 sec)
-
tensorflow/compiler/mlir/lite/tests/end2end/quant_stats.pbtxt
# RUN: tf_tfl_translate -tf-input-arrays=input0,input1 \ # RUN: -tf-input-shapes=4:4 \ # RUN: -tf-input-data-types=DT_FLOAT,DT_FLOAT \ # RUN: -tf-output-arrays=Add \ # RUN: -tf-inference-type=DT_QUINT8 \ # RUN: -tf-input-min-values='-2,-3' \ # RUN: -tf-input-max-values='2,3' \ # RUN: --quant-stats=%s.stats \
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/e2e/simple-graph.mlir
// RUN: tac-translate -input-mlir -output-mlir -device-specs=GPU %s -o - 2>&1 | FileCheck %s module { func.func @main(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>, %arg2: tensor<1xf32>, %arg3: tensor<1xf32>) -> tensor<2x1xf32> attributes {tf.entry_function = {inputs = "input0,input1,input2,input3", outputs = "output"}} { %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU6"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/lstm.json
"is_variable": true, "quantization": { "min": [-0.5], "max": [0.5] } } ], "inputs": [0], "outputs": [24], "operators": [ { "inputs": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23 ], "outputs": [24], "intermediates": [
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 06:25:50 UTC 2024 - 9.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/fallback.mlir
// RUN: tf-tfrt-opt -tf-to-tfrt %s | FileCheck %s --dump-input=fail --dump-input-filter=all // RUN: tf-tfrt-opt -pass-pipeline='builtin.module(tf-to-tfrt{target-tpurt=true tpu-use-core-selector=false})' %s | FileCheck %s --dump-input=fail --dump-input-filter=all // CHECK-LABEL: func @_tfrt_fallback_init // CHECK-SAME: {{.*}} !tfrt.chain // CHECK: tfrt_fallback_async.createop(%arg0) key(0) device("/device:CPU:0") "tf.ParseExampleV2"()
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 9.1K bytes - Viewed (0) -
platforms/core-runtime/serialization/src/test/groovy/org/gradle/internal/serialize/kryo/KryoBackedDecoderTest.groovy
def "can read from stream and then restart to use another stream"() { def input1 = encoded("string 1") def input2 = encoded("string 2") given: def decoder = new KryoBackedDecoder(input1) decoder.readString() decoder.restart(input2) expect: decoder.readPosition == 0 decoder.readString() == "string 2"
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Apr 15 16:06:56 UTC 2024 - 1.4K bytes - Viewed (0) -
docs/debugging/inspect/main.go
} } var inputs []string // Parse parameters switch { case *stdin: // Parse 'mc support inspect --json' output input := struct { File string `json:"file"` Key string `json:"key"` }{} got, err := io.ReadAll(os.Stdin) if err != nil { fatalErr(err) } fatalErr(json.Unmarshal(got, &input)) inputs = []string{input.File} *keyHex = input.Key
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Fri May 31 14:49:23 UTC 2024 - 5.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/python/flatbuffer_to_mlir.cc
const llvm::MemoryBuffer* input = source_mgr->getMemoryBuffer(source_mgr->getMainFileID()); std::string error; auto loc = mlir::FileLineColLoc::get(context, input->getBufferIdentifier(), 0, 0); std::vector<std::string> inputs; std::vector<std::string> outputs; return tflite::FlatBufferToMlir( absl::string_view(input->getBufferStart(), input->getBufferSize()),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun May 12 12:39:37 UTC 2024 - 3.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/insert_call_once_op.mlir
} func.func @serving_default(%arg0: tensor<i64> {tf_saved_model.index_path = ["x"]}) -> (tensor<*x!tf_type.string> {tf_saved_model.index_path = ["r"]}) attributes {tf.entry_function = {control_outputs = "", inputs = "input:0", outputs = "hash_table_Lookup/LookupTableFindV2:0"}, tf_saved_model.exported_names = ["serving_default"]} { %cst = arith.constant dense<"f"> : tensor<!tf_type.string>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 2.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/unroll_batch_matmul_disabled.pbtxt
# RUN: tf_tfl_translate -unfold_batchmatmul=false -tf-input-arrays=Placeholder,Placeholder_1 -tf-input-shapes=2,5,3:3,7 -tf-input-data-types=DT_FLOAT,DT_FLOAT -tf-output-arrays=MatMul -output-mlir %s -o - 2>&1 | FileCheck %s node { name: "Placeholder" op: "Placeholder" attr { key: "dtype" value { type: DT_FLOAT } } attr { key: "shape" value { shape { dim { size: 2
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/tf_mlir_translate.h
ABSL_DEPRECATED( "Please use the other overload of this function which accepts structured " "inputs instead of strings") // Converts a TensorFlow GraphDef contained in `input` param into a MLIR module. // Creates MLIR entities into the given MLIR `context`. absl::StatusOr<mlir::OwningOpRef<mlir::ModuleOp>> GraphdefToMlirTranslateFunction( llvm::StringRef input, absl::string_view input_arrays,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 5.9K bytes - Viewed (0)