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tensorflow/compiler/mlir/lite/tests/const-fold.mlir
%13 = "tfl.square"(%6) : (tensor<f32>) -> tensor<f32> func.return %7, %8, %9, %10, %11, %12, %13 : tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32>, tensor<f32> } // CHECK-LABEL: @max_with_neg_f32_max_val // CHECK-SAME: (%[[ARG0:.+]]: tensor<f32>) func.func @max_with_neg_f32_max_val(%arg0 : tensor<f32>) -> (tensor<f32>, tensor<f32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 45.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:32:28 UTC 2024 - 6.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/optimize.mlir
// CHECK-LABEL: testDotToDotGeneralVectorVector func.func @testDotToDotGeneralVectorVector(%arg0: tensor<3072xf32>, %arg1: tensor<3072xf32>) -> tensor<f32> { %0 = "mhlo.dot"(%arg0, %arg1) : (tensor<3072xf32>, tensor<3072xf32>) -> tensor<f32> func.return %0 : tensor<f32> // CHECK: %[[RES:.*]] = "mhlo.dot_general"(%arg0, %arg1) <{ // CHECK-SAME: dot_dimension_numbers = #mhlo.dot< // CHECK-SAME: lhs_contracting_dimensions = [0],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 22.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/tac/tests/compute-cost.mlir
%5 = "tfl.add"(%4, %arg3) {tac.device = "CPU", tac.inference_type = "QUANTIZED_INT8", fused_activation_function = "NONE"} : (tensor<1x384x128x!quant.uniform<i8:f32, 0.3:3>>, tensor<128x!quant.uniform<i8:f32, 0.2:-4>>) -> tensor<1x384x128x!quant.uniform<i8:f32, 0.3:-3>> func.return %5 : tensor<1x384x128x!quant.uniform<i8:f32, 0.3:-3>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 24 05:29:10 UTC 2022 - 4.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/convert_mhlo_quant_to_int.mlir
// CHECK: %[[ADD:.*]] = f32[] add(f32[] %[[DIV]], f32[] // CHECK: %[[CLAMP:.*]] = f32[] clamp(f32[] %[[MIN:.*]], f32[] %[[ADD]], // CHECK: %[[ROUND:.*]] = f32[] round-nearest-even(f32[] %[[CLAMP]]) // CHECK: %[[CONVERT_0:.*]] = u8[] convert(f32[] %[[ROUND]]) // CHECK: %[[CONVERT_1:.*]] = s32[] convert(u8[] %[[CONVERT_0]]) // CHECK: %[[SUB:.*]] = s32[] subtract(s32[] %[[CONVERT_1]],
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Sep 07 16:28:50 UTC 2023 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/clustering_passes.td
func @outside_compilation() -> tensor<f32> { %0 = "tf_device.cluster"() ( { %1 = "tf.Const"() {_xla_outside_compilation = "0", value = dense<1.0> : tensor<f32>} : () -> (tensor<f32>) %2 = "tf.Identity"(%1) {_xla_outside_compilation = "0"} : (tensor<f32>) -> (tensor<f32>) %3 = "tf.AddV2"(%1, %2) : (tensor<f32>, tensor<f32>) -> (tensor<f32>) tf_device.return %3 : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 02:01:13 UTC 2024 - 19.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/canonicalize.mlir
%0:3 = "tf.CaseRegion"(%index) ({ %mul = "tf.Mul"(%arg0, %arg1) : (tensor<f32>, tensor<f32>) -> tensor<f32> "tf.Yield"(%arg1, %mul, %arg2) : (tensor<f32>, tensor<f32>, tensor<!tf_type.resource>) -> () }, { %sub = "tf.Sub"(%arg0, %arg1) : (tensor<f32>, tensor<f32>) -> tensor<f32> "tf.Yield"(%arg1, %sub, %arg2) : (tensor<f32>, tensor<f32>, tensor<!tf_type.resource>) -> () }, {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 132.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-collective.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 15.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/remove_unused_arguments.mlir
func.func private @f(%arg0: f32, %arg1: f32) -> (f32, f32) { %0 = "some_op"(%arg0) : (f32) -> f32 return %0, %arg1 : f32, f32 } // CHECK-LABEL: @removes_second_passthrough_arg func.func @removes_second_passthrough_arg(%arg0: f32, %arg1: f32) -> (f32, f32) { // CHECK: %0 = call @f(%arg0) %0, %1 = call @f(%arg0, %arg1) : (f32, f32) -> (f32, f32) // CHECK: return %0, %arg1 return %0, %1 : f32, f32 } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 06 23:00:44 UTC 2024 - 7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference_with_shape_specialization.mlir
// CHECK-DAG: %[[CST_1:.*]] = "tf.Const"() <{value = dense<3> : tensor<i32>}> : () -> tensor<i32> // CHECK-NEXT: %[[UQ:.*]] = "tf.UniformQuantize"(%arg0, %cst, %cst_0) <{quantization_axis = -1 : i64, quantization_max_val = 127 : i64, quantization_min_val = -128 : i64}> : (tensor<1xf32>, tensor<f32>, tensor<i32>) -> tensor<1x!tf_type.qint8>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 24 12:49:45 UTC 2024 - 2.8K bytes - Viewed (0)