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Results 71 - 79 of 79 for dequantize (0.14 sec)
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tensorflow/compiler/aot/compile.cc
#include "absl/base/call_once.h" #include "llvm-c/Target.h" #include "llvm/Support/ManagedStatic.h" #include "tensorflow/compiler/aot/codegen.h" #include "tensorflow/compiler/aot/flags.h" #include "tensorflow/compiler/aot/quantize.h" #include "tensorflow/compiler/tf2xla/tf2xla.h" #include "tensorflow/compiler/tf2xla/tf2xla_util.h" #include "xla/client/client_library.h" #include "xla/client/compile_only_client.h" #include "xla/client/xla_computation.h"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 15 08:28:57 UTC 2024 - 11.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_xla.mlir
// RUN: tf-quant-opt %s -split-input-file -quant-lift-quantizable-spots-as-functions -quant-quantize='target-opset=XLA' -verify-each=false | FileCheck %s func.func private @conv(%input: tensor<1x3x4x3xf32> {tf._user_specified_name = "input_tensor"}) -> tensor<*xf32> attributes {tf._construction_context = "kEagerRuntime", tf._input_shapes = [#tf_type.shape<1x3x4x3>]} { %weight = arith.constant dense_resource<__elided__> : tensor<2x3x3x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:32:28 UTC 2024 - 11.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/BUILD
"passes/prepare_quantize.inc", "passes/prepare_quantize_drq.cc", "passes/preprocess_op.cc", "passes/preprocess_op.inc", "passes/propagate_quantize_type.cc", "passes/quantize.cc", "passes/quantize_composite_functions.cc", "passes/quantize_composite_functions.inc", "passes/quantize_weights.cc", "passes/quantized_function_library.h",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 22:58:42 UTC 2024 - 21.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/BUILD
"passes/merge_fusion_with_dequantize.cc", "passes/nchw_convolution_to_nhwc.cc", "passes/optimize_graph.cc", "passes/post_quantize.cc", "passes/prepare_quantize.cc", "passes/quantize.cc", "passes/quantize_composite_functions.cc", "passes/quantize_weight.cc", "passes/remove_sharding_custom_call.cc", "passes/remove_sharding_custom_call.inc",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 03 02:59:01 UTC 2024 - 28.3K bytes - Viewed (0) -
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) -
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/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) -
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)