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Results 61 - 69 of 69 for Quantile (0.14 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_op_with_region.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -stablehlo-quantize -verify-each=false | FileCheck %s // Tests if reduce_window op following quantized function is quantized. module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 1722 : i32}, tf_saved_model.semantics} { // CHECK-LABEL: main_00 // CHECK-SAME: %[[ARG0:.*]]: tensor<2x3x1x1024xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 18.9K bytes - Viewed (0) -
src/image/gif/writer.go
// might not start at (0, 0). // // TODO: Pick a better sub-sample of the Plan 9 palette. pm = image.NewPaletted(b, palette.Plan9[:opts.NumColors]) if opts.Quantizer != nil { pm.Palette = opts.Quantizer.Quantize(make(color.Palette, 0, opts.NumColors), m) } opts.Drawer.Draw(pm, b, m, b.Min) } // When calling Encode instead of EncodeAll, the single-frame image is
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon May 13 21:38:09 UTC 2024 - 11.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tf_tfl_passes.cc
const mlir::TFL::PassConfig& pass_config, mlir::OpPassManager* pass_manager) { // This pass wraps all the tf.FakeQuant ops in a custom op so they are not // folded before being converted to tfl.quantize and tfl.dequantize ops. auto wrapped_ops = mlir::TFL::AllTfFakeQuantOps(); pass_manager->addNestedPass<mlir::func::FuncOp>( mlir::TFL::CreateRaiseCustomOpsPass(wrapped_ops));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 18:45:51 UTC 2024 - 25.5K bytes - Viewed (0) -
src/image/draw/draw.go
Set(x, y int, c color.Color) SetRGBA64(x, y int, c color.RGBA64) } // Quantizer produces a palette for an image. type Quantizer interface { // Quantize appends up to cap(p) - len(p) colors to p and returns the // updated palette suitable for converting m to a paletted image. Quantize(p color.Palette, m image.Image) color.Palette } // Op is a Porter-Duff compositing operator. type Op int const (
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Mar 11 17:08:05 UTC 2024 - 33.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/quantize_model.py
): # Check and populate calibration options. _populate_calibration_options(quantization_options) @tf_export.tf_export('quantization.experimental.quantize_saved_model') def quantize( saved_model_path: str, output_directory: Optional[str] = None, quantization_options: Optional[_QuantizationOptions] = None, representative_dataset: Optional[
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 34.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs
UNIQUE = 103, CEIL = 104, REVERSE_V2 = 105, ADD_N = 106, GATHER_ND = 107, COS = 108, WHERE = 109, RANK = 110, ELU = 111, REVERSE_SEQUENCE = 112, MATRIX_DIAG = 113, QUANTIZE = 114, MATRIX_SET_DIAG = 115, ROUND = 116, HARD_SWISH = 117, IF = 118, WHILE = 119, NON_MAX_SUPPRESSION_V4 = 120, NON_MAX_SUPPRESSION_V5 = 121, SCATTER_ND = 122, SELECT_V2 = 123,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 14:28:27 UTC 2024 - 30K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_same_scale.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -stablehlo-quantize -verify-each=false | FileCheck %s module attributes {tf_saved_model.semantics} { // CHECK-LABEL: same_scale_after_composite // CHECK-SAME: %[[ARG0:.*]]: tensor<1x2xf32> // CHECK-SAME: %[[ARG1:.*]]: tensor<2x3xf32> func.func private @same_scale_after_composite(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3xf32>) -> tensor<3x1xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 35.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema.fbs
UNIQUE = 103, CEIL = 104, REVERSE_V2 = 105, ADD_N = 106, GATHER_ND = 107, COS = 108, WHERE = 109, RANK = 110, ELU = 111, REVERSE_SEQUENCE = 112, MATRIX_DIAG = 113, QUANTIZE = 114, MATRIX_SET_DIAG = 115, ROUND = 116, HARD_SWISH = 117, IF = 118, WHILE = 119, NON_MAX_SUPPRESSION_V4 = 120, NON_MAX_SUPPRESSION_V5 = 121, SCATTER_ND = 122, SELECT_V2 = 123,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 18:01:23 UTC 2024 - 41.7K bytes - Viewed (0) -
src/math/big/float.go
// quotient is the exclusive OR of the operands’ signs; the sign of a sum, // or of a difference x−y regarded as a sum x+(−y), differs from at most // one of the addends’ signs; and the sign of the result of conversions, // the quantize operation, the roundToIntegral operations, and the // roundToIntegralExact (see 5.3.1) is the sign of the first or only operand. // These rules shall apply even when operands or results are zero or infinite. //
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Jun 06 15:46:54 UTC 2024 - 44.5K bytes - Viewed (0)