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tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/defer_activation_transpose.mlir
// deferred. // CHECK-LABEL: add_with_activation_transpose_rank_two func.func @add_with_activation_transpose_rank_two(%arg0: tensor<1x2xf32>) -> tensor<2x1xf32> { %0 = stablehlo.constant dense<2.000000e+00> : tensor<2x1xf32> %1 = stablehlo.transpose %arg0, dims = [1, 0] : (tensor<1x2xf32>) -> tensor<2x1xf32> %2 = stablehlo.add %1, %0 : tensor<2x1xf32> return %2 : tensor<2x1xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 14.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/merge_duplicate_resource_ops.mlir
// RUN: tf-quant-opt %s -split-input-file -quant-merge-duplicate-resource-ops | FileCheck %s func.func @merge_duplicate_variable(%arg0: tensor<1x20xf32>, %arg1: tensor<!tf_type.string>) -> (tensor<20x4096xf32>) { %0 = tf_executor.graph { %outputs_5, %control_6 = tf_executor.island wraps "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 26 04:26:16 UTC 2023 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-quantize-dynamic-range.mlir
%recurrent_stats = "quantfork.stats"(%recurrent_input) {layerStats = dense<[-2.0, 1.0]> : tensor<2xf32>} : (tensor<1x20xf32>) -> tensor<1x20xf32> %cell_input = arith.constant dense<1.0> : tensor<1x20xf32> %cell_stats = "quantfork.stats"(%cell_input) {layerStats = dense<[-2.73090601, 7.94872093]> : tensor<2xf32>} : (tensor<1x20xf32>) -> tensor<1x20xf32>
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/tensorflow/tests/tpu_sharding_identification.mlir
%0 = "tf_device.cluster_func"(%arg0, %arg1) {func = @_func, use_spmd_for_xla_partitioning = true, use_tpu = true, num_cores_per_replica = 2 : i64} : (tensor<2x4xf32>, tensor<4x2xf32>) -> tensor<2x2xf32> %1:2 = "tf.TPUPartitionedOutputV2"(%0) {device = "", partition_dims = [2, 1]} : (tensor<2x2xf32>) -> (tensor<1x2xf32>, tensor<1x2xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 20 19:07:52 UTC 2024 - 47.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
} func.func @QDQsFollowedByTranspose(tensor<1x2xf32>) -> (tensor<2x1xf32>) { ^bb0(%arg0: tensor<1x2xf32>): %cst_0 = arith.constant dense<[1, 0]> : tensor<2xi32> %0 = "tfl.quantize"(%arg0){qtype = tensor<1x2x!quant.uniform<u8:f32, 1.0>>}: (tensor<1x2xf32>) -> (tensor<1x2x!quant.uniform<u8:f32, 1.0>>) %1 = "tfl.dequantize"(%0): (tensor<1x2x!quant.uniform<u8:f32, 1.0>>) -> (tensor<1x2xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 59.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
precision_config = #vhlo.array_v1<[#vhlo<precision_v1 DEFAULT>, #vhlo<precision_v1 DEFAULT>]>}> : (tensor<1x1x167xf32>, tensor<167x64xf32>) -> tensor<1x1x64xf32> return %0 : tensor<1x1x64xf32> } //CHECK:func.func private @dot_general(%arg0: tensor<1x1x167xf32>, %arg1: tensor<167x64xf32>) -> tensor<1x1x64xf32> { //CHECK-NEXT: %0 = "vhlo.dot_general_v1"(%arg0, %arg1) <{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (1) -
tensorflow/compiler/mlir/tfr/tests/ops.mlir
func.return %0, %1 : !shape.shape, !shape.shape } // ----- // CHECK-LABEL: get_real_shape func.func @get_real_shape(%arg0: tensor<1x2xf32>) -> tensor<2xindex> { %0 = "tfr.cast"(%arg0) : (tensor<1x2xf32>) -> !tfr.tensor %1 = tfr.get_shape %0 -> !shape.shape %2 = shape.to_extent_tensor %1 : !shape.shape -> tensor<2xindex> func.return %2 : tensor<2xindex> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jan 14 22:15:06 UTC 2023 - 13.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/canonicalize.mlir
// Tests for ops with canonicalization patterns. // CHECK-LABEL: get_real_shape func.func @get_real_shape(%arg0: tensor<1x2xf32>) -> tensor<2xindex> { %0 = "tfr.cast"(%arg0) : (tensor<1x2xf32>) -> !tfr.tensor %1 = tfr.get_shape %0 -> !shape.shape %2 = shape.to_extent_tensor %1 : !shape.shape -> tensor<2xindex> func.return %2 : tensor<2xindex>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 11.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/attrs_and_constraints_test.cc
)mlir"; constexpr absl::string_view kModuleHybridQuantized = R"mlir( module { func.func @main(%arg0: tensor<1x2xf32>, %arg1: tensor<2x3x!quant.uniform<i8:f32, 6.000000e-03:0>> {tf_saved_model.index_path = ["input_tensor"]}) -> (tensor<1x3xf32>) { %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0] : (tensor<1x2xf32>, tensor<2x3x!quant.uniform<i8:f32, 6.000000e-03:0>>) -> tensor<1x3xf32> return %0 : tensor<1x3xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 22.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/constant-fold.mlir
func.return %0 : tensor<2x2xbf16> // CHECK-LABEL: DivBf16LHS // CHECK: tf.Div } func.func @DontRemoveTrivialAdd(%arg0: tensor<1x2xf32>) -> tensor<2x2xf32> { %cst = arith.constant dense<0.0> : tensor<2x2xf32> %0 = "tf.AddV2"(%arg0, %cst) : (tensor<1x2xf32>, tensor<2x2xf32>) -> tensor<2x2xf32> func.return %0 : tensor<2x2xf32> // CHECK-LABEL: DontRemoveTrivialAdd
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 23:22:24 UTC 2024 - 36.7K bytes - Viewed (0)