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Results 191 - 200 of 203 for dequantize (0.21 sec)
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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/quantization/tensorflow/tests/quantize_composit_functions_debugging.mlir
// RUN: tf-quant-opt %s -split-input-file -quant-insert-quantized-functions -quant-quantize-composite-functions | FileCheck --check-prefix=TF %s // RUN: tf-quant-opt %s -split-input-file -quant-insert-quantized-functions -quant-quantize-composite-functions='target-opset=XLA' | FileCheck --check-prefix=XLA %s
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 80.5K 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/lite/flatbuffer_import.cc
return emitError(loc, type_or_err.status().ToString()), type_or_err.status(); } auto type = std::move(type_or_err).value(); if (op_name == "tfl.quantize") { // Special case for quantize: return type must also be in qtype attribute op_state.addAttribute("qtype", mlir::TypeAttr::get(type)); } else if (op_name == "tfl.reshape" && op_state.operands.size() == 1) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 66.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/BUILD
"transforms/post_quantize.cc", "transforms/prepare_quantize.cc", "transforms/prepare_quantize_dynamic_range.cc", "transforms/prepare_quantize_helper.cc", "transforms/quantize.cc", "transforms/quantize_variables.cc", "utils/generated_op_quant_spec_getters.inc", ], hdrs = [ "transforms/passes.h", "transforms/prepare_quantize_helper.h", ],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 49.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_generated.h
static const char * const names[208] = { "ADD", "AVERAGE_POOL_2D", "CONCATENATION", "CONV_2D", "DEPTHWISE_CONV_2D", "DEPTH_TO_SPACE", "DEQUANTIZE", "EMBEDDING_LOOKUP", "FLOOR", "FULLY_CONNECTED", "HASHTABLE_LOOKUP", "L2_NORMALIZATION", "L2_POOL_2D", "LOCAL_RESPONSE_NORMALIZATION", "LOGISTIC",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 1M 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/cmd/vendor/golang.org/x/arch/ppc64/ppc64asm/tables.go
[6]*argField{ap_ImmSigned_11_15, ap_FPReg_6_10, ap_FPReg_16_20, ap_ImmUnsigned_21_22}}, {DQUAICC, 0xfc0001ff00000000, 0xec00008700000000, 0x0, // DFP Quantize Immediate Z23-form (dquai. TE,FRT,FRB,RMC) [6]*argField{ap_ImmSigned_11_15, ap_FPReg_6_10, ap_FPReg_16_20, ap_ImmUnsigned_21_22}},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Nov 22 17:16:14 UTC 2022 - 334.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -verify-diagnostics \ // RUN: -stablehlo-quantize-composite-functions | FileCheck %s // RUN: stablehlo-quant-opt %s -split-input-file -verify-diagnostics \ // RUN: -stablehlo-quantize-composite-functions=enable-per-channel-quantized-weight=false | FileCheck --check-prefix=CHECK-PER-TENSOR %s // Tests that basic dot_general is properly quantized. module attributes {tf_saved_model.semantics} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 91.6K 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)