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Results 11 - 18 of 18 for nilcheck (0.14 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize/quantize_weight_only.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -stablehlo-quantize | FileCheck %s // Test that hybrid quantized dot_general is produced when q/dq pair only exists // for weight. module attributes {tf_saved_model.semantics} { func.func private @quantize_dot_general_fn(%arg0: tensor<1x2xf32>) -> tensor<1x3xf32> attributes {tf._original_func_name = "main_0"} { %cst = stablehlo.constant dense<3.000000e-01> : tensor<2x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/insert_calibration_statistics_saver_with_skipping.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -stablehlo-insert-calibration-statistics-saver='aggregator-ops-to-ignore=skipping_id' | FileCheck %s func.func @serving_default(%arg0: tensor<1x3x4x3xf32>) -> (tensor<1x2x2x2xf32>) attributes {tf.entry_function = {control_outputs = "", inputs = "serving_default_input_tensor:0", outputs = "PartitionedCall:0"}} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 06:31:57 UTC 2024 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/reconfig_batch_op.mlir
// RUN: tf-tfrt-opt -split-input-file -tfrt-reconfig-batch-op="tfrt-min-num-batch-threads=2 tfrt-min-max-enqueued-batches=3" %s | FileCheck %s --dump-input=always // ----- // The num_batch_threads is lowered bound to 2 from the original attribute of 1 // CHECK-LABEL: func private @batched_function func.func private @batched_function(%arg0: tensor<1x3xf32>) -> tensor<1x3xf32> { %2 = "tf.Identity"(%arg0) : (tensor<1x3xf32>) -> tensor<1x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 17:38:34 UTC 2024 - 5.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/components/pre_calibration_component.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -verify-diagnostics \ // RUN: -stablehlo-test-pre-calibration-component | FileCheck %s func.func @main(%arg0: tensor<1x4xf32>) -> tensor<1x3xf32> { %0 = stablehlo.constant dense<1.0> : tensor<4x3xf32> %1 = stablehlo.dot_general %arg0, %0, contracting_dims = [1] x [0], precision = [DEFAULT, DEFAULT] : (tensor<1x4xf32>, tensor<4x3xf32>) -> tensor<1x3xf32> return %1 : tensor<1x3xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 5.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/ifrt/sink_variable_as_named_array.mlir
// RUN: tf-tfrt-opt -split-input-file -tf-device-decompose-resource-ops -sink-variable-as-named-array %s | FileCheck %s // ----- // Basic test: all variables tensors are for devices and sinked as named ifrt arrays // // // CHECK-LABEL: func.func @serving_default(%arg0: tensor<1x3xf32>) -> tensor<1x1xf32> { // CHECK-NEXT: [[HANDLE2:%.*]] = "tf.VarHandleOp" // CHECK-NEXT: [[KEY:%.*]], [[FUTURE:%.*]] = "tf.IfrtLoadVariable"([[HANDLE2]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 15:33:17 UTC 2024 - 5.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/ifrt/lower_to_ifrt_restore_variable.mlir
// RUN: tf-tfrt-opt -split-input-file -verify-diagnostics -lower-to-ifrt-restore-variable %s | FileCheck %s // ----- // single variable // CHECK-LABEL: func.func @restore_single() { // CHECK-NEXT: [[PREFIX:%.*]] = "tf.Const"() <{value = dense<"restore_ariables"> : tensor<!tf_type.string>}> : () -> tensor<!tf_type.string> // CHECK-NEXT: [[SLICE:%.*]] = "tf.Const"() <{value = dense<""> : tensor<1x!tf_type.string>}> : () -> tensor<1x!tf_type.string>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 20:44:15 UTC 2024 - 8.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/lift_quantizable_spots_as_functions.cc
} } // Lifts quantizable units as separate functions, thereby identifying the // boundaries of quantizable subgraphs. `QuantizationSpecs` influences how // quantizable units are lifted. // // FileCheck test cases using various `QuantizationSpecs` can be seen at // `TestLiftQuantizableSpotsAsFunctionsWithQuantizationSpecsPass`. class LiftQuantizableSpotsAsFunctionsPass : public impl::LiftQuantizableSpotsAsFunctionsPassBase<
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 9.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir
// RUN: stablehlo-quant-opt %s -split-input-file -verify-diagnostics \ // RUN: -stablehlo-quantize-composite-functions | FileCheck --check-prefix=CHECK %s // Test that per-tensor weight-only quantized dot_general op is produced when // empty `weight_only_ptq` is provided. module attributes {tf_saved_model.semantics} { func.func private @quantize_dot_general_per_tensor(%arg0: tensor<1x2xf32>) -> tensor<1x3xf32> attributes {tf._original_func_name = "main_0"} {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 9.4K bytes - Viewed (0)