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Results 21 - 30 of 354 for hilite (0.21 sec)
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android/guava/src/com/google/common/math/Stats.java
* is not guaranteed to return zero when the dataset consists of the same value multiple times, * due to numerical errors. However, it is guaranteed never to return a negative result. * * <h3>Non-finite values</h3> * * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Thu Feb 15 16:12:13 UTC 2024 - 22K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
return op.getFeatureGroupCount() > 1; } // Returns kernel output feature dimension of TFLite convolutions. int64_t GetConvolutionKernelOutputFeatureDimension(bool is_depthwise) { return is_depthwise ? 3 : 0; } // Returns kernel input feature dimension of TFLite convolutions. int64_t GetConvolutionKernelInputFeatureDimension(bool is_depthwise) { return is_depthwise ? 0 : 3; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K 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) -
android/guava/src/com/google/common/math/PairedStatsAccumulator.java
* * <p>This is guaranteed to return zero if the dataset contains a single pair of finite values. It * is not guaranteed to return zero when the dataset consists of the same pair of values multiple * times, due to numerical errors. * * <h3>Non-finite values</h3> * * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 10.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_composite_functions_tf.cc
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h" #include "tensorflow/compiler/mlir/lite/transforms/passes.h" #include "tensorflow/compiler/mlir/lite/utils/lstm_utils.h" #include "tensorflow/compiler/mlir/lite/utils/nms_utils.h" #include "tensorflow/compiler/mlir/lite/utils/perception_ops_utils.h" #include "tensorflow/compiler/mlir/lite/utils/tftext_utils.h"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.6K bytes - Viewed (0) -
src/math/big/float.go
func (x *Float) validate0() string { if x.form != finite { return "" } m := len(x.mant) if m == 0 { return "nonzero finite number with empty mantissa" } const msb = 1 << (_W - 1) if x.mant[m-1]&msb == 0 { return fmt.Sprintf("msb not set in last word %#x of %s", x.mant[m-1], x.Text('p', 0)) } if x.prec == 0 { return "zero precision finite number" } return "" }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Jun 06 15:46:54 UTC 2024 - 44.5K 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/schema/schema_generated.h
tflite::Int32VectorT *AsInt32Vector() { return type == SparseIndexVector_Int32Vector ? reinterpret_cast<tflite::Int32VectorT *>(value) : nullptr; } const tflite::Int32VectorT *AsInt32Vector() const { return type == SparseIndexVector_Int32Vector ? reinterpret_cast<const tflite::Int32VectorT *>(value) : nullptr; } tflite::Uint16VectorT *AsUint16Vector() {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M bytes - Viewed (0) -
android/guava/src/com/google/common/math/PairedStats.java
* * <p>This is guaranteed to return zero if the dataset contains a single pair of finite values. It * is not guaranteed to return zero when the dataset consists of the same pair of values multiple * times, due to numerical errors. * * <h3>Non-finite values</h3> * * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 12.6K bytes - Viewed (0)