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tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_hashtable_ops_as_args.mlir
%cst_1 = "tf.Const"() {value = dense<1.000000e+00> : tensor<f32>} : () -> tensor<f32> %cst_2 = "tf.Const"() {value = dense<0.00235294132> : tensor<f32>} : () -> tensor<f32> %cst_3 = "tf.Const"() {value = dense<-1> : tensor<i32>} : () -> tensor<i32> %cst_4 = "tf.Const"() {value = dense<0.00117647066> : tensor<f32>} : () -> tensor<f32> %cst_5 = "tf.Const"() {value = dense<-43> : tensor<i32>} : () -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 15 05:41:44 UTC 2024 - 13.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_cluster_formation.mlir
%8 = "tf.Identity"(%5) {_xla_compile_device_type = "TPU", _replication_info = "c"} : (tensor<f32>) -> tensor<f32> %9:2 = "tf.TPUReplicatedOutput"(%6) : (tensor<f32>) -> (tensor<f32>, tensor<f32>) %10:2 = "tf.TPUReplicatedOutput"(%7) : (tensor<f32>) -> (tensor<f32>, tensor<f32>) %11:2 = "tf.TPUReplicatedOutput"(%8) : (tensor<f32>) -> (tensor<f32>, tensor<f32>) func.return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 53.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/tests/canonicalize.mlir
func.func @quant_raw_data(%arg0: tensor<1x10x!quant.uniform<i8:f32, 0.1:1>>) -> tensor<1x10x!quant.uniform<i8:f32, 0.2:2>> { %0 = "tfr.cast"(%arg0) : (tensor<1x10x!quant.uniform<i8:f32, 0.1:1>>) -> !tfr.tensor %1 = tfr.quant_raw_data(%0) : (!tfr.tensor) -> !tfr.tensor %2 = tfr.call @tf__risc(%1) : (!tfr.tensor) -> !tfr.tensor %3 = "tfr.cast"(%2) : (!tfr.tensor) -> tensor<1x10x!quant.uniform<i8:f32, 0.3:3>>
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/tensorflow/tests/prepare_tpu_computation_for_tf_export.mlir
"tf.Yield"(%recv) : (tensor<f32>) -> () }, { %add = "tf.Add"(%arg1, %arg1) : (tensor<f32>, tensor<f32>) -> tensor<f32> "tf.Yield"(%add) : (tensor<f32>) -> () }) { is_stateless = true}: (tensor<i1>) -> tensor<f32> // CHECK: _xla_token_input_nodes = ["_xla_token_arg_node"] func.return %0, %1 : tensor<f32>, tensor<f32> } // Next four functions are used to verify handling of a call chain.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 18:46:36 UTC 2024 - 9.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/optimize.mlir
} // CHECK-LABEL: not_fold_cast_fft_to_rfft func.func @not_fold_cast_fft_to_rfft(%arg0: tensor<10x20x30xcomplex<f64>>) -> tensor<10x20x30xcomplex<f32>> { %0 = "tf.Cast"(%arg0) : (tensor<10x20x30xcomplex<f64>>) -> tensor<10x20x30xcomplex<f32>> %1 = "tf.FFT"(%0) : (tensor<10x20x30xcomplex<f32>>) -> tensor<10x20x30xcomplex<f32>> func.return %1: tensor<10x20x30xcomplex<f32>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jan 05 18:35:42 UTC 2024 - 3.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_custom_aggregation_ops.mlir
// MIN-MAX-CHECK-NEXT: [[add:%.*]] = "tf.PartitionedCall"([[lhs]], [[rhs]]) // MIN-MAX-CHECK-NEXT: [[res:%.*]], {{.*}}, {{.*}}, {{.*}} = "tf.CustomAggregator"([[add]]) <{calibration_method = 1 : i32, id = "composite_conv2d_with_relu6_fn_calibration_method_1", max_percentile = 0.000000e+00 : f32, min_percentile = 0.000000e+00 : f32, num_bins = 0 : i32}> : (tensor<*xf32>) -> (tensor<*xf32>, tensor<f32>, tensor<f32>, tensor<0xi64>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 32.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/components/pre_calibration_component.mlir
// CHECK: %[[XLA_CALL_MODULE:.+]] = "tf.XlaCallModule"(%[[CUSTOM_AGGREGATOR_0]], %[[CST]])
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/analysis/tensor_array_side_effect_analysis.mlir
// expected-remark@+1 {{HasAtMostTensorArrayEffect: 1}} func.func @test_tensor_array_effect(%index: tensor<i32>, %size: tensor<i32>, %flow_0: tensor<f32>, %flow_1: tensor<f32>, %handle_0: tensor<2x!tf_type.resource<tensor<?x100xf32>>>, %handle_1: tensor<2x!tf_type.resource<tensor<?x512xf32>>>) -> (tensor<i32>, tensor<i32>, tensor<f32>, tensor<f32>, tensor<2x!tf_type.resource<tensor<?x100xf32>>>, tensor<2x!tf_type.resource<tensor<?x512xf32>>>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:41:10 UTC 2022 - 1.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_trait_folds.mlir
%0 = "tf.Conj"(%arg0) : (tensor<complex<f32>>) -> tensor<complex<f32>> %1 = "tf.Conj"(%0) : (tensor<complex<f32>>) -> tensor<complex<f32>> // CHECK: return [[ARG0]] func.return %1: tensor<complex<f32>> } // CHECK-LABEL: func @testTripleConj // CHECK-SAME: ([[ARG0:%.+]]: tensor<complex<f32>>) func.func @testTripleConj(%arg0: tensor<complex<f32>>) -> tensor<complex<f32>> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:47:26 UTC 2022 - 5.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/fake_quant_e2e_xla.mlir
%0 = "tf.FakeQuantWithMinMaxArgs"(%arg0) {device = "", max = 2.000000e-01 : f32, min = -1.000000e-01 : f32, narrow_range = false, num_bits = 8 : i64} : (tensor<1x3x4x3xf32>) -> tensor<1x3x4x3xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 7.2K bytes - Viewed (0)