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docs/fr/docs/features.md
### Court Des **valeurs par défaut** sont définies pour tout, des configurations optionnelles sont présentent partout. Tous ces paramètres peuvent être ajustés afin de faire ce que vous voulez et définir l'API dont vous avez besoin. Mais, **tout fonctionne** par défaut. ### Validation * Validation pour la plupart (ou tous?) les **types de données** Python incluant:
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 11.1K bytes - Viewed (0) -
platforms/native/language-native/src/integTest/groovy/org/gradle/language/cpp/tasks/CppUnexportMainSymbolIntegrationTest.groovy
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Nov 16 20:20:03 UTC 2023 - 4.9K bytes - Viewed (0) -
platforms/native/platform-native/src/testFixtures/groovy/org/gradle/nativeplatform/fixtures/app/CppGreeterWithOptionalFeature.groovy
#include <iostream> #include "greeter.h" void Greeter::sayHello() { #ifdef WITH_FEATURE #pragma message("compiling with feature enabled") std::cout << "${HelloWorldApp.HELLO_WORLD_FRENCH}" << std::endl; #else std::cout << "${HelloWorldApp.HELLO_WORLD}" << std::endl; #endif } """)) final SourceElement publicHeaders = header final SourceElement sources = source @Override
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Thu Nov 16 20:20:03 UTC 2023 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/end2end.mlir
tfr.func @tf__my_identity(%value: !tfr.tensor) -> !tfr.tensor { tfr.return %value : !tfr.tensor } tfr.func @tf__my_cast(%value: !tfr.tensor, %tout: !tfr.attr{tfr.name="Tout"}) -> !tfr.tensor { %0 = tfr.call @tf__risc_cast(%value, %tout) : (!tfr.tensor, !tfr.attr) -> !tfr.tensor tfr.return %0 : !tfr.tensor } tfr.func @tf__my_rsqrt(%value: !tfr.tensor) -> !tfr.tensor {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 13.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/function-order.mlir
// CHECK-NEXT: op: "PartitionedCall" // CHECK: func { // CHECK: name: "foo" // CHECK: } // CHECK: } %0 = tf_executor.island wraps "tf.PartitionedCall"() {Tin = [], Tout = [], config = "", config_proto = "", device = "", executor_type = "", f = @foo, name = "Call_foo"} : () -> () tf_executor.fetch } func.return } // CHECK: library { // CHECK: function {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 17 18:52:47 UTC 2023 - 2.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/end2end/disallow_stateful_partitioned_call.pbtxt
input: "input0" input: "args_0" attr { key: "Tin" value { list { type: DT_FLOAT type: DT_RESOURCE } } } attr { key: "Tout" value { list { type: DT_FLOAT type: DT_RESOURCE } } } attr { key: "config" value { s: "" } } attr { key: "config_proto"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 24 20:05:09 UTC 2023 - 2.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/ops/stablehlo_op_quant_spec_test.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 04 07:19:09 UTC 2024 - 14.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantized_function_library_uniform_quantized_drq.mlir
attributes {tf_quant.quantized_ops = ["Conv2D"]} { %out = "tf.UniformQuantizedConvolutionHybrid"(%input, %weight, %weight_scale, %weight_zp) { Tlhs = "tfdtype$DT_FLOAT", Trhs = "tfdtype$DT_QINT8", Tout = "tfdtype$DT_FLOAT", window_strides = [1, 1], padding = "", explicit_padding = [],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Dec 01 12:06:54 UTC 2022 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/unwrap_xla_call_module_op.mlir
%2 = "tf.XlaCallModule"(%1) <{Sout = [#tf_type.shape<3x10>], dim_args_spec = [], disabled_checks = [], has_token_input_output = false, module = "", platforms = ["CPU"], version = 9 : i64}> {_entry_function = @main_0, _stablehlo_module_attrs = {}, device = ""} : (tensor<10x1x3xf32>) -> tensor<3x10xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 22:40:14 UTC 2024 - 3.7K bytes - Viewed (0) -
src/cmd/pprof/pprof_test.go
out, err = cmd.CombinedOutput() if err != nil { t.Errorf("pprof -disasm failed: %v\n%s", err, out) // Try to print out profile content for debugging. cmd = testenv.Command(t, pprofPath(t), "-raw", cpuExe, profile) out, err = cmd.CombinedOutput() if err != nil { t.Logf("pprof -raw failed: %v\n%s", err, out) } else { t.Logf("profile content:\n%s", out) } return }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Aug 03 16:07:59 UTC 2023 - 3.4K bytes - Viewed (0)