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tensorflow/compiler/mlir/lite/stablehlo/tests/legalize-tfl-stablehlo-constant.mlir
module { func.func @main() -> tensor<1xi64> { %0 = "tfl.custom"() {custom_code = "stablehlo.constant", custom_option = #tfl<const_bytes : "0x76616C75650001020109010101062C022401">} : () -> tensor<1xi64> func.return %0 : tensor<1xi64> } } // CHECK: module { // CHECK-NEXT: func @main() -> tensor<1xi64> { // CHECK-NEXT: %[[c0:.+]] = stablehlo.constant dense<2> : tensor<1xi64> // CHECK-NEXT: return %[[c0]] : tensor<1xi64> // CHECK-NEXT: }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 18:33:43 UTC 2024 - 574 bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf-fake-quant.mlir
%in = arith.constant dense<0.0> : tensor<8xf32> %min = arith.constant dense<0.0> : tensor<f32> %max = arith.constant dense<255.0> : tensor<f32> %rst = "tf.FakeQuantWithMinMaxVars"(%in, %min, %max) {num_bits = 5, narrow_range = false} : (tensor<8xf32>, tensor<f32>, tensor<f32>) -> tensor<8xf32> func.return %rst : tensor<8xf32> // CHECK: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<8xf32>
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-tf-fake-quant-4bit.mlir
%in = arith.constant dense<0.0> : tensor<8xf32> %min = arith.constant dense<0.0> : tensor<f32> %max = arith.constant dense<15.0> : tensor<f32> %rst = "tf.FakeQuantWithMinMaxVars"(%in, %min, %max) {num_bits = 3, narrow_range = false} : (tensor<8xf32>, tensor<f32>, tensor<f32>) -> tensor<8xf32> func.return %rst : tensor<8xf32> // CHECK: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<8xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 22K bytes - Viewed (0) -
src/go/constant/example_test.go
func ExampleCompare() { vs := []constant.Value{ constant.MakeString("Z"), constant.MakeString("bacon"), constant.MakeString("go"), constant.MakeString("Frame"), constant.MakeString("defer"), constant.MakeFromLiteral(`"a"`, token.STRING, 0), } slices.SortFunc(vs, func(a, b constant.Value) int { if constant.Compare(a, token.LSS, b) { return -1 } if constant.Compare(a, token.GTR, b) { return +1
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:00:11 UTC 2024 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/const-fold.mlir
%0 = arith.constant dense<8> : tensor<i32> %1 = arith.constant dense<1> : tensor<i32> %2 = arith.constant dense< 4> : tensor<4xi32> %3 = arith.constant dense<-2> : tensor<4xi32> // CHECK-DAG: %[[CST:.*]] = arith.constant dense<9> : tensor<i32> // CHECK-DAG: %[[CST_0:.*]] = arith.constant dense<6> : tensor<4xi32> // CHECK-DAG: %[[CST_1:.*]] = arith.constant dense<5> : tensor<4xi32>
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/lite/tests/prepare-quantize-signed.mlir
layerStats = dense<[-1.28e-5, 1.27e-5]> : tensor<2xf32> } : (tensor<1x5x5x2xf32>) -> tensor<1x5x5x2xf32> %w = arith.constant dense<[[[[-1.0, 1.0]]], [[[1.0, 2.0]]], [[[-2.0, 1.0]]]]> : tensor<3x1x1x2xf32> %b = arith.constant dense<0.0> : tensor<3xf32> %b2 = arith.constant dense<[1.0e-2, 2.1473647e1, -2.1473647e2]> : tensor<3xf32> %conv = "tfl.conv_2d"(%0, %w, %b) {
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/stablehlo/odml_converter/tests/shlo_simplify.mlir
func.func @foldDiv() -> tensor<2xf32> { %0 = stablehlo.constant dense<[2.0, 3.0]> : tensor<2xf32> %1 = stablehlo.constant dense<[4.0, 6.0]> : tensor<2xf32> %2 = stablehlo.divide %0, %1 : tensor<2xf32> return %2 : tensor<2xf32> } // CHECK-LABEL: foldDiv // CHECK: stablehlo.constant dense<5.000000e-01> : tensor<2xf32> // ----- func.func @foldDivLHSSplat() -> tensor<2xf32> { %0 = stablehlo.constant dense<2.0> : tensor<2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 03:05:20 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%1 = stablehlo.constant dense<1.000000e+03> : tensor<1x1x1x1xf32> // Input inverse scale. %2 = stablehlo.constant dense<-128> : tensor<1x1x1x1xi8> // Input zero point. %3 = stablehlo.constant dense<1> : tensor<3x3x4x4xi8> // Quantized filter tensor. %4 = stablehlo.constant dense<3.000000e+03> : tensor<1x1x1x4xf32> %5 = stablehlo.constant dense<4.000000e+03> : tensor<1x1x1x1xf32> // Output inverse scale.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 37K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/unfold_splat_constant_pass.mlir
// RUN: odml-to-stablehlo-opt %s -unfold-splat-constant-pass -cse -verify-diagnostics | FileCheck %s // CHECK-LABEL: @unfold_splat_constant_float func.func @unfold_splat_constant_float() -> tensor<1x750xf32> { %cst = mhlo.constant dense<7.680000e+02> : tensor<1x750xf32> func.return %cst : tensor<1x750xf32> // CHECK-DAG: %0 = mhlo.constant dense<7.680000e+02> : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 1.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/push-tpose-through-ewise.mlir
%perm = arith.constant dense<[3, 0, 1, 2]> : tensor<4xi32> %0 = "tfl.transpose"(%arg0, %perm) : (tensor<2x3x4x5xf32>, tensor<4xi32>) -> tensor<5x2x3x4xf32> %cst = arith.constant dense<1.0> : tensor<5x2x3x4xf32> %1 = tfl.add %0, %cst { fused_activation_function = "NONE" } : tensor<5x2x3x4xf32> func.return %1 : tensor<5x2x3x4xf32> } // CHECK: %cst = arith.constant dense<[3, 0, 1, 2]> : tensor<4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 8.9K bytes - Viewed (0)