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Results 11 - 20 of 227 for hilite (0.26 sec)
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tensorflow/compiler/mlir/lite/metrics/error_collector_inst_test.cc
#include "tensorflow/compiler/mlir/lite/metrics/error_collector.h" #include "tensorflow/compiler/mlir/lite/metrics/types_util.h" #include "tensorflow/compiler/mlir/tensorflow/ir/tf_dialect.h" #include "tensorflow/core/platform/errors.h" #include "tensorflow/core/platform/resource_loader.h" #include "tensorflow/core/platform/test.h" #include "tensorflow/lite/python/metrics/converter_error_data.pb.h"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 25 01:48:36 UTC 2024 - 8.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/py_wrapper/tac_wrapper_pybind11.cc
#include "tensorflow/compiler/mlir/lite/experimental/tac/py_wrapper/tac_wrapper.h" // Warning: The API is experimental and subject to change. PYBIND11_MODULE(_pywrap_tac_wrapper, m) { m.def( "run_tac", [](const std::string& model_file_path, const std::vector<std::string>& device_specs, const std::string& model_output_path) { return ::tflite::run_tac(model_file_path, device_specs,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 06 03:08:33 UTC 2023 - 1.3K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-op-request.md
--- name: TensorFlow Lite Op Request about: Use this template for reporting Lite ops you are using or missing labels: 'comp:lite' --- **System information** - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): - TensorFlow installed from (source or binary): - TensorFlow version (or github SHA if from source): **Provide the text output from tflite_convert** ``` # Copy and paste here ```
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 15 03:35:58 UTC 2022 - 879 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_tf_while.cc
#include "mlir/Pass/Pass.h" // from @llvm-project #include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h" #include "tensorflow/compiler/mlir/lite/transforms/passes.h" #include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h" namespace mlir { namespace TFL { namespace { #define GEN_PASS_DEF_LEGALIZEWHILEPASS #include "tensorflow/compiler/mlir/lite/transforms/passes.h.inc"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 03 12:35:38 UTC 2022 - 3.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/hardwares/cpu_hardware.cc
#include <memory> #include "tensorflow/compiler/mlir/lite/experimental/tac/common/targets.h" #include "tensorflow/compiler/mlir/lite/experimental/tac/common/utils.h" #include "tensorflow/compiler/mlir/lite/experimental/tac/hardwares/target_hardware.h" #include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h" #include "tensorflow/compiler/mlir/lite/utils/arithmetic_count_util.h" namespace mlir { namespace TFL {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 06 03:08:33 UTC 2023 - 5.9K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/tflite-in-play-services.md
--- name: TensorFlow Lite in Play Services issue about: Use this template for issues with TensorFlow Lite in Google Play Services labels: 'comp:lite-in-play-services' --- **System information** - Android Device information (use `adb shell getprop ro.build.fingerprint` if possible): - TensorFlow Lite in Play Services SDK version (found in `build.gradle`): - Google Play Services version
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 15 03:35:58 UTC 2022 - 880 bytes - Viewed (0) -
src/math/big/floatmarsh.go
z.mode = RoundingMode((b >> 5) & 7) z.acc = Accuracy((b>>3)&3) - 1 z.form = form((b >> 1) & 3) z.neg = b&1 != 0 z.prec = byteorder.BeUint32(buf[2:]) if z.form == finite { if len(buf) < 10 { return errors.New("Float.GobDecode: buffer too small for finite form float") } z.exp = int32(byteorder.BeUint32(buf[6:])) z.mant = z.mant.setBytes(buf[10:]) } if oldPrec != 0 { z.mode = oldMode
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 13 21:31:58 UTC 2024 - 3.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/convert_type.cc
case tflite::TensorType_FLOAT16: return builder.getF16Type(); case tflite::TensorType_BFLOAT16: return builder.getBF16Type(); case tflite::TensorType_FLOAT32: return builder.getF32Type(); case tflite::TensorType_FLOAT64: return builder.getF64Type(); case tflite::TensorType_INT32: return builder.getIntegerType(32); case tflite::TensorType_UINT16:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 07 23:04:40 UTC 2024 - 8.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/legalize_jax_random.cc
#include "stablehlo/dialect/StablehloOps.h" // from @stablehlo #include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h" #include "tensorflow/compiler/mlir/tensorflow/ir/tf_dialect.h" #include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h" namespace mlir { namespace TFL { namespace { #define GEN_PASS_DEF_LEGALIZEJAXRANDOMPASS #include "tensorflow/compiler/mlir/lite/transforms/passes.h.inc" struct LegalizeJaxRandomPass
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.1K bytes - Viewed (0) -
src/math/pow.go
// Pow(NaN, y) = NaN // Pow(x, NaN) = NaN // Pow(±0, y) = ±Inf for y an odd integer < 0 // Pow(±0, -Inf) = +Inf // Pow(±0, +Inf) = +0 // Pow(±0, y) = +Inf for finite y < 0 and not an odd integer // Pow(±0, y) = ±0 for y an odd integer > 0 // Pow(±0, y) = +0 for finite y > 0 and not an odd integer // Pow(-1, ±Inf) = 1 // Pow(x, +Inf) = +Inf for |x| > 1 // Pow(x, -Inf) = +0 for |x| > 1 // Pow(x, +Inf) = +0 for |x| < 1
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Jan 24 19:10:58 UTC 2023 - 3.6K bytes - Viewed (0)