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Results 21 - 30 of 118 for opset (0.05 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/quantization_options.proto
QuantizationMethod quantization_method = 6; reserved 1 to 4; } // List of supported opsets to deploy the quantized model. // The quantized model contains different set of ops depending on the opset. // NEXT ID: 5 enum OpSet { OP_SET_UNSPECIFIED = 0; // go/do-include-enum-unspecified // Uses TF ops that mimic quantization behavior. Used when the corresponding
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 19 06:31:19 UTC 2024 - 9.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/preprocess_op_weight_only.mlir
// RUN: tf-quant-opt %s -split-input-file -quant-preprocess-op='target-opset=XLA quantization-method=weight_only enable-per-channel-quantization=false' | FileCheck --check-prefix PerTensor %s // RUN: tf-quant-opt %s -split-input-file -quant-preprocess-op='target-opset=XLA quantization-method=weight_only enable-per-channel-quantization=true' | FileCheck --check-prefix PerChannel %s module { // For XLA weight-only per-channel depthwise convolution, tensor shape should have
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_quantized_functions_drq.mlir
// RUN: tf-quant-opt %s -quant-insert-quantized-functions='quantization-method=drq' | FileCheck %s // RUN: tf-quant-opt %s -quant-insert-quantized-functions='quantization-method=drq target-opset=UNIFORM_QUANTIZED' | FileCheck --check-prefix=UQ-CHECK %s // Empty module module { func.func @simple_fn(%arg0: tensor<*xf32>) -> tensor<*xf32> { func.return %arg0 : tensor<*xf32> } } // CHECK-NOT: func private @internal_calculate_quant_params
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Dec 01 12:06:54 UTC 2022 - 1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_xla.mlir
// RUN: tf-quant-opt %s -split-input-file -quant-convert-fake-quant-to-qdq -quant-lift-quantizable-spots-as-functions='target-opset=XLA' -quant-insert-quantized-functions -quant-quantize-composite-functions='target-opset=XLA' -symbol-dce -inline -tf-shape-inference -canonicalize -quant-replace-cast-hacks-with-tf-xla-ops -cse -quant-optimize | FileCheck %s module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 1219 : i32}, tf_saved_model.semantics} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_quantized_functions_weight_only.mlir
// RUN: tf-quant-opt %s -quant-insert-quantized-functions='quantization-method=weight_only target-opset=XLA' | FileCheck %s // Empty module module { func.func @simple_fn(%arg0: tensor<*xf32>) -> tensor<*xf32> { func.return %arg0 : tensor<*xf32> } } // CHECK-NOT: func private @internal_dequantize_f32 // CHECK-NOT: func private @internal_conv3d_fn // CHECK-NOT: func private @internal_batch_matmul_fn
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 16 03:34:36 UTC 2023 - 843 bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_quantized_functions.mlir
// RUN: tf-quant-opt %s -quant-insert-quantized-functions | FileCheck %s // RUN: tf-quant-opt %s -quant-insert-quantized-functions='quantization-method=ptq target-opset=UNIFORM_QUANTIZED' --mlir-print-ir-after-all | FileCheck --check-prefix=UQ-CHECK %s // Empty module module { func.func @simple_fn(%arg0: tensor<*xf32>) -> tensor<*xf32> { func.return %arg0 : tensor<*xf32> } } // CHECK-NOT: func private @internal_rescale_fn
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Aug 29 01:13:58 UTC 2023 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/ops/tf_quantize_op.cc
QuantizedType CalculateUniformQuantParams( PatternRewriter& rewriter, TF::ConstOp op, tensorflow::quantization::QuantizationComponentSpec& weight_spec) { // TODO - b/278949920: Enable Per-Channel Quantization for XLA Opset // Currently, support symmetric, per-tensor, signed int8 const bool kIsNarrowRange = true; const bool kIsSigned = true; const int kBitWidth = 8; DenseFPElementsAttr attr;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions_drq.mlir
// RUN: tf-quant-opt %s -split-input-file -quant-insert-quantized-functions='quantization-method=drq target-opset=UNIFORM_QUANTIZED' -quant-quantize-composite-functions='quantization-method=drq target-opset=UNIFORM_QUANTIZED' -symbol-dce | FileCheck %s module { // TODO(b/260020937): Support transpose_a, transpose_b for matmul. func.func @matmul(%arg0: tensor<2x12xf32>) -> (tensor<*xf32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 9.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla_selective_quantization.mlir
// RUN: tf-quant-opt %s -split-input-file -mlir-print-debuginfo -mlir-print-local-scope -quant-add-quantization-unit-loc -inline -quant-prepare-lifting -quant-lift-quantizable-spots-as-functions='target-opset=XLA' | FileCheck %s // This file test the selective quantiation feature in TF Quantizer. In the test // config, the op named "test_opt_out" will not be quantized. module attributes {tf.versions = {bad_consumers = [], min_consumer = 12 : i32, producer = 1269 : i32}} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.8K bytes - Viewed (0) -
src/cmd/internal/obj/util.go
spcs := &spcSpace[i] if spcs.lo <= spc && spc < spcs.hi { return spcs.SPCconv(spc) } } return fmt.Sprintf("SPC???%d", spc) } type opSet struct { lo As names []string } // Not even worth sorting var aSpace []opSet // RegisterOpcode binds a list of instruction names // to a given instruction number range. func RegisterOpcode(lo As, Anames []string) {
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 15 15:44:14 UTC 2024 - 17.5K bytes - Viewed (0)