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Results 1 - 10 of 831 for Prepare (0.21 sec)
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tensorflow/compiler/mlir/lite/tests/prepare-quantize.mlir
// RUN: tf-opt %s -tfl-prepare-quantize="quantize-allowlist=quantize_float_placeholder_only,not_reset_input" | FileCheck %s // RUN: tf-opt %s -tfl-prepare-quantize="disable-set-input-nodes-quantization-params=true" | FileCheck --check-prefix=MixedPrecision %s // RUN: tf-opt %s -tfl-prepare-quantize="is-qdq-conversion=true" | FileCheck --check-prefix=QDQ %s // CHECK-LABEL: main // Uses `main` function to match the default target function of QuantSpecs and
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 67.5K bytes - Viewed (0) -
cmd/prepare-storage.go
if len(endpoints) == 0 || setCount == 0 || setDriveCount == 0 { return nil, nil, errInvalidArgument } // prepare getElapsedTime() to calculate elapsed time since we started trying formatting disks. // All times are rounded to avoid showing milli, micro and nano seconds formatStartTime := time.Now().Round(time.Second)
Registered: Sun Jun 16 00:44:34 UTC 2024 - Last Modified: Sun May 19 08:06:49 UTC 2024 - 11.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
// RUN: tf-opt -tfl-prepare-tf %s | FileCheck %s // RUN: tf-opt %s -tf-layout-optimization=force-data-format=NHWC -tfl-prepare-tf | FileCheck --check-prefix=LAYOUT --dump-input=always %s module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
prepare-svg.sh
Hervé Boutemy <******@****.***> 1711297148 +0100
Registered: Wed Jun 12 09:55:16 UTC 2024 - Last Modified: Sun Mar 24 18:29:19 UTC 2024 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-signed.mlir
// RUN: tf-opt %s -tfl-prepare-quantize="quantize-signed=true" | FileCheck %s // RUN: tf-opt %s -tfl-prepare-quantize="quantize-signed=true disable-per-channel=true" | FileCheck --check-prefix=PerTensor %s // CHECK-LABEL: uint8_to_int8 func.func @uint8_to_int8(%arg0: tensor<2x2xf32>) -> tensor<2x2xf32> { %1 = "tfl.quantize"(%arg0) {qtype = tensor<2x2x!quant.uniform<u8:f32, 1.0:128>>} : (tensor<2x2xf32>) -> tensor<2x2x!quant.uniform<u8:f32, 1.0:128>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 18.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
// RUN: tf-opt %s -tfl-prepare-quantize-dynamic-range | FileCheck %s // RUN: tf-opt %s -tfl-prepare-quantize-dynamic-range="enable-dynamic-range-per-channel-quantization=false" | FileCheck --check-prefix=PerTensor %s // RUN: tf-opt %s -tfl-prepare-quantize-dynamic-range="enable-float16-quantization" | FileCheck --check-prefix=Float16 %s
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 38.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir
// RUN: tf-opt %s -tfl-raise-custom-ops="test-raise-tf-targets=tf.FakeQuantWithMinMaxVarsPerChannel,tf.FakeQuantWithMinMaxVars" -tfl-prepare-tf | FileCheck --dump-input=always %s // RUN: tf-opt %s -tfl-raise-custom-ops="test-raise-tf-targets=tf.FakeQuantWithMinMaxVarsPerChannel,tf.FakeQuantWithMinMaxVars" -tfl-prepare-tf=use-fake-quant-num-bits=true | FileCheck --check-prefix LOBIT --dump-input=always %s
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-post-training.mlir
// RUN: tf-opt %s -tfl-prepare-quantize="quantize-signed=true post-training-quantize=true" -cse | FileCheck %s // RUN: tf-opt %s -tfl-prepare-quantize="quantize-signed=true post-training-quantize=true legacy-float-scale=true" -cse| FileCheck --check-prefix=Legacy %s // CHECK-LABEL: QuantizeLstmCellInput func.func @QuantizeLstmCellInput(%arg0: tensor<1x28x28xf32>) -> tensor<1x28x20xf32> { %cst_2 = "tfl.no_value"() {value = unit} : () -> none
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 52.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
// RUN: tf-opt -tfl-prepare-composite-funcs-tf %s -split-input-file -verify-diagnostics | FILECHECK_OPTS="" FileCheck %s module{ func.func @embedding(%arg0: tensor<*xf32>, %arg1: tensor<*xi32>) -> tensor<*xf32> attributes {tf._implements = "embedding_matmul", tf._reference = "mlir"} { %0 = "tf.Const"() {value = dense<1> : tensor<i32>} : () -> tensor<i32> %1 = "tf.ExpandDims"(%arg1, %0) : (tensor<*xi32>, tensor<i32>) -> tensor<*xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant-4bit.mlir
// RUN: tf-opt %s -tfl-raise-custom-ops="test-raise-tf-targets=tf.FakeQuantWithMinMaxVarsPerChannel,tf.FakeQuantWithMinMaxVars" -tfl-prepare-tf | FileCheck --dump-input=always %s // RUN: tf-opt %s -tfl-raise-custom-ops="test-raise-tf-targets=tf.FakeQuantWithMinMaxVarsPerChannel,tf.FakeQuantWithMinMaxVars" -tfl-prepare-tf=use-fake-quant-num-bits=true | FileCheck --check-prefix LOBIT --dump-input=always %s
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 22K bytes - Viewed (0)