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Results 11 - 20 of 22 for 3x5xi1 (0.53 sec)
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tensorflow/compiler/mlir/tensorflow/tests/decompose_optionals.mlir
// ----- // CHECK-LABEL: @if func.func @if() { // CHECK-NOT: Optional %0 = builtin.unrealized_conversion_cast to tensor<5xi1> %1 = "tf.OptionalNone"() : () -> tensor<!tf_type.variant<tensor<f32>>> %2 = "tf.If"(%0, %1) <{else_branch = @false, is_stateless = false, then_branch = @true}> : (tensor<5xi1>, tensor<!tf_type.variant<tensor<f32>>>) -> (tensor<!tf_type.variant<tensor<f32>>>) return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/resource-device-inference.mlir
%cst = arith.constant dense<3.0> : tensor<32xf32> %cmp = "tf.Less"(%read, %cst) : (tensor<32xf32>, tensor<32xf32>) -> tensor<32xi1> %dims = arith.constant dense<0> : tensor<1xi32> %reduce = "tf.All"(%cmp, %dims) {keep_dims = false} : (tensor<32xi1>, tensor<1xi32>) -> tensor<i1> "tf.Yield"(%reduce) : (tensor<i1>) -> () }, {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 17 16:01:45 UTC 2022 - 18.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants.mlir
%0 = "tfl.pseudo_sparse_qconst"() {compressed_data = dense<[1, 2, 3, 4, -1, -2, -3, -4]> : tensor<8xi8>, qtype = tensor<3x2x!quant.uniform<u8<1:255>:f32, 1.0>>, s_param = #tfl.sparsity_parameter<traversal_order = [0, 1, 2, 3], block_map...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants_offset.mlir
%0 = "tfl.pseudo_sparse_qconst"() {compressed_data = dense<[1, 2, 3, 4, -1, -2, -3, -4]> : tensor<8xi8>, qtype = tensor<3x2x!quant.uniform<u8<1:255>:f32, 1.0>>, s_param = #tfl.sparsity_parameter<traversal_order = [0, 1, 2, 3], block_map...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/post_quantize.mlir
// CHECK-LABEL: @quantize_constant // CHECK-SAME: %[[ARG0:.*]]: tensor<1x3xf32> func.func @quantize_constant(%arg0: tensor<1x3xf32>) -> tensor<1x2xf32> { // CHECK-DAG: %[[QCST:.*]] = stablehlo.constant() <{value = dense<-78> : tensor<3x2xi8>}> : () -> tensor<3x2x!quant.uniform<i8<-127:127>:f32, 5.000000e-03>> // CHECK-DAG: %[[Q1:.*]] = stablehlo.uniform_quantize %[[ARG0]] // CHECK-NOT: "quantfork.qcast" // CHECK: %[[DOT:.*]] = stablehlo.dot %[[Q1]], %[[QCST]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 4.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/analysis/cost_analysis.mlir
// CHECK-LABEL: test_gather func.func @test_gather(%arg0 : tensor<1x2x20xf32>, %arg1 : tensor<3x5xi32>) -> (tensor<1x3x5x20xf32>){ // expected-remark@+1 {{Cost: 1}} %0 = "tf.Const"() { value = dense<[1]> : tensor<1xi32> } : () -> tensor<1xi32> // expected-remark@+1 {{Cost: 300}} %1 = "tf.GatherV2"(%arg0, %arg1, %0) : (tensor<1x2x20xf32>, tensor<3x5xi32>, tensor<1xi32>) -> tensor<1x3x5x20xf32> // expected-remark@+1 {{Cost: 40}}
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Aug 14 15:35:49 UTC 2023 - 12.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-tf.mlir
%0 = "tf.BroadcastTo"(%input, %shape) : (tensor<3xi16>, tensor<2xi32>) -> tensor<3x3xi16> func.return %0: tensor<3x3xi16> // CHECK-LABEL: broadcast_to_i16_low_dim // CHECK: %0 = "tf.BroadcastTo"(%arg0, %arg1) : (tensor<3xi16>, tensor<2xi32>) -> tensor<3x3xi16> // CHECK: return %0 : tensor<3x3xi16> }
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/quantization/stablehlo/tests/bridge/convert-tf-quant-types.mlir
%zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32> // CHECK: %[[input:.*]] = "tf.ConcatV2"(%arg0, %arg1, %[[VAL:.*]]) : (tensor<3x3xi8>, tensor<3x3xi8>, tensor<i64>) -> tensor<6x3xi8> // CHECK: %[[input_qint:.*]] = "tf.Cast"(%[[input]]) <{Truncate = false}> : (tensor<6x3xi8>) -> tensor<6x3x!tf_type.qint8> // CHECK: %[[output:.*]] = "tf.UniformDequantize"(%[[input_qint]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 25.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
func.func @select( %arg0: tensor<1x3xi1>, %arg1: tensor<1x3x!quant.uniform<i8:f32, 2.000000e+00:-1>>, %arg2: tensor<1x3x!quant.uniform<i8:f32, 2.000000e+00:-1>> ) -> tensor<1x3x!quant.uniform<i8:f32, 2.000000e+00:-1>> { %0 = "stablehlo.select"(%arg0, %arg1, %arg2) : ( tensor<1x3xi1>, tensor<1x3x!quant.uniform<i8:f32, 2.000000e+00:-1>>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/replace_cast_hacks_with_tf_xla_ops.mlir
%8 = "tf.Sub"(%7, %cst_4) {device = ""} : (tensor<2x3xi32>, tensor<i32>) -> tensor<2x3xi32> %9 = "tf.Identity"(%cst_2) {device = ""} : (tensor<3x4xi8>) -> tensor<3x4xi8> %10 = "tf.Cast"(%9) {Truncate = false, device = ""} : (tensor<3x4xi8>) -> tensor<3x4xi32> %11 = "tf.Einsum"(%8, %10) {device = "", equation = "ab,bc->ac"} : (tensor<2x3xi32>, tensor<3x4xi32>) -> tensor<2x4xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 81K bytes - Viewed (0)