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Results 1 - 10 of 23 for 2x2xi1 (0.12 sec)
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tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
} func.func @concat_v2_with_bool_type(%arg0: tensor<?x1xi1>, %arg1: tensor<?x1xi1>) -> tensor<?x2xi1> { %0 = "tf.Const"() { value = dense<-1> : tensor<i32> } : () -> tensor<i32> %1 = "tf.ConcatV2"(%arg0, %arg1, %0) : (tensor<?x1xi1>, tensor<?x1xi1>, tensor<i32>) -> tensor<?x2xi1> func.return %1 : tensor<?x2xi1> // CHECK-LABEL: concat_v2_with_bool_type
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
// ----- func.func @transpose(%arg0 : tensor<2x2xi32>, %arg1 : tensor<2xi32>) -> tensor<2x2xi32> { %0 = "tfl.transpose"(%arg0, %arg1) : (tensor<2x2xi32>, tensor<2xi32>) -> tensor<2x2xi32> func.return %0 : tensor<2x2xi32> } // ----- // CHECK-LABEL: transpose_with_output_that_has_dynamic_sizes func.func @transpose_with_output_that_has_dynamic_sizes(%arg0 : tensor<2x2xi32>, %arg1 : tensor<2xi32>) -> tensor<?x?xi32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/optimize.mlir
} // CHECK-LABEL: EliminateRedundantLogicalOr func.func @EliminateRedundantLogicalOr(%arg0: tensor<1xi1>, %arg1: tensor<2x3xi1>) -> (tensor<1xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<1xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>, tensor<2x3xi1>) { %cst_false0 = arith.constant dense<false> : tensor<1xi1>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/legalize_hlo.mlir
// CHECK-SAME: %[[VAL_0:.*]]: tensor<2xi1>, // CHECK-SAME: %[[VAL_1:.*]]: tensor<2xi1>) -> tensor<2xi1> { // CHECK: %[[VAL_2:.*]] = "tf.LogicalAnd"(%[[VAL_0]], %[[VAL_1]]) : (tensor<2xi1>, tensor<2xi1>) -> tensor<2xi1> // CHECK: return %[[VAL_2]] : tensor<2xi1> // CHECK: } func.func @and(%arg0: tensor<2xi1>, %arg1: tensor<2xi1>) -> tensor<2xi1> { %0 = mhlo.and %arg0, %arg1 : tensor<2xi1>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 29 07:26:59 UTC 2024 - 340.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:10:13 UTC 2024 - 39.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%7 = call @uniform_quantize_0(%arg0, %0, %1) : (tensor<1x2xf32>, tensor<1x1xf32>, tensor<1x1xi8>) -> tensor<1x2xi8> %8 = stablehlo.convert %7 : (tensor<1x2xi8>) -> tensor<1x2xf32> %9 = stablehlo.convert %2 : (tensor<2x3xi8>) -> tensor<2x3xf32> %10 = stablehlo.dot_general %8, %9, contracting_dims = [1] x [0] : (tensor<1x2xf32>, tensor<2x3xf32>) -> tensor<1x3xf32>
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/tf2xla/tests/legalize-tf-quant.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 01:25:29 UTC 2024 - 37.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 91.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/const-fold.mlir
} // CHECK-LABEL: @transpose_no_fold func.func @transpose_no_fold(%arg0 : tensor<2xi32>) -> tensor<2x2xi32> { %cst = arith.constant dense<[[0, 1], [2, 3]]> : tensor<2x2xi32> // CHECK: tfl.transpose %0 = "tfl.transpose"(%cst, %arg0) : (tensor<2x2xi32>, tensor<2xi32>) -> tensor<2x2xi32> func.return %0 : tensor<2x2xi32> } // CHECK-LABEL: @transpose_1d // Basic 1D identity
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/stablehlo/tests/tfl_legalize_hlo.mlir
%0 = "mhlo.dot_general"(%arg0, %arg1) { dot_dimension_numbers = #mhlo.dot< lhs_batching_dimensions = [0], rhs_batching_dimensions = [0], lhs_contracting_dimensions = [3], rhs_contracting_dimensions = [3] >} : (tensor<2x2x?x3xf32>, tensor<2x4x?x3xf32>) -> tensor<2x2x?x4x?xf32> func.return %0 : tensor<2x2x?x4x?xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0)