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Results 1 - 10 of 11 for 8x16xi32 (0.35 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc
%0 = "tf.MatMul"(%input, %filter_new) { } : (tensor<8x9xf32>, tensor<9x10xf32>) -> tensor<8x10xf32> return %0 : tensor<8x10xf32> })mlir"; constexpr absl::string_view kProgram = R"mlir( func.func @main(%input: tensor<8x9xf32>, %filter: tensor<9x10xi8>) -> tensor<8x10xf32> { %filter_scale = "tf.Const"() { value = dense<0.0235> : tensor<f32> } : () -> tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Apr 03 01:03:21 UTC 2024 - 35.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_default.mlir
func.func @softmax(%arg0: tensor<8x16xf32>) -> tensor<8x16xf32> { %0 = "tf.Softmax"(%arg0) : (tensor<8x16xf32>) -> tensor<8x16xf32> func.return %0 : tensor<8x16xf32> // CHECK: %[[CUSTOM_0:.*]] = "tfl.custom"(%arg0) <{custom_code = "FlexSoftmax", custom_option = #tfl<const_bytes : "0x07536F66746D617800161207536F66746D61781A002A070A0154120230013200000221191414042801">}> : (tensor<8x16xf32>) -> tensor<8x16xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-collective.mlir
%group_assignment = "tf.Const"() { value = dense<[[0],[1]]> : tensor<2x1xi32> } : () -> tensor<2x1xi32> // CHECK: "mhlo.all_reduce" // CHECK{LITERAL}: replica_groups = dense<[[0], [1]]> : tensor<2x1xi64> // CHECK-NOT: channel_handle // CHECK: mhlo.add %0 = "tf.XlaAllReduce"(%input, %group_assignment) {reduce_op = "Add", mode = "CrossReplica"} : (tensor<f32>, tensor<2x1xi32>) -> tensor<f32> func.return %0 : tensor<f32> } // -----
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/lite/tests/decompose-hybrid-quantization.mlir
// CHECK-DAG: %[[VAL0:.+]] = "tfl.pseudo_qconst"() <{qtype = tensor<16x{{.+}}>, value = dense<1> : tensor<16xi32>}> // CHECK-DAG: %[[VAL1:.+]] = "tfl.pseudo_qconst"() <{qtype = tensor<16x{{.+}}>, value = dense<2> : tensor<16xi32>}> // CHECK-DAG: %[[VAL2:.+]] = "tfl.dequantize"(%[[VAL0]]) // CHECK-DAG: %[[VAL3:.+]] = "tfl.dequantize"(%[[VAL1]])
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 13.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/compose-uniform-quantized-type.mlir
%14 = stablehlo.subtract %12, %13 : tensor<8x16x16xi32> // q1 - z1 %15 = stablehlo.convert %11 : (tensor<8x16x4xi8>) -> tensor<8x16x4xi32> %16 = stablehlo.broadcast_in_dim %6, dims = [0, 1, 2] : (tensor<1x1x1xi32>) -> tensor<8x16x4xi32> %17 = stablehlo.subtract %15, %16 : tensor<8x16x4xi32> // q2 - z2 // Corresponds to einsum expression: b i j, b j d -> b i d
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/quantization/stablehlo/tests/passes/defer_activation_transpose.mlir
%1 = stablehlo.transpose %arg0, dims = [1, 0] : (tensor<16x8xf32>) -> tensor<8x16xf32> %2 = "stablehlo.reduce_window"(%1, %0) ({ ^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>): %3 = stablehlo.maximum %arg1, %arg2 : tensor<f32> stablehlo.return %3 : tensor<f32> }) {window_dimensions = array<i64: 2, 2>, window_strides = array<i64: 2, 2>} : (tensor<8x16xf32>, tensor<f32>) -> tensor<4x8xf32> return %2 : tensor<4x8xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 14.6K 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/tests/const-fold.mlir
%cst = arith.constant dense<[[1], [2]]> : tensor<2x1xi32> // CHECK: %[[CST:.*]] = arith.constant dense<2> : tensor<1xi32> // CHECK: return %[[CST]] %0 = "tfl.rank"(%cst) : (tensor<2x1xi32>) -> tensor<1xi32> func.return %0 : tensor<1xi32> } // CHECK-LABEL: @rank_input_known_rank func.func @rank_input_known_rank(%arg0 : tensor<2x1xi32>) -> tensor<1xi32> {
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
// CHECK: %5 = "tfl.arg_max"(%arg0, %cst) : (tensor<1x32x1xf32>, tensor<1xi32>) -> tensor<1x1xi32> // CHECK: return %4, %5 : tensor<1x1xf32>, tensor<1x1xi32> } // CHECK-LABEL: func @convert_pytorch_argmax func.func @convert_pytorch_argmax(%arg0: tensor<1x9xi32>) -> tensor<1xi32> { %0 = mhlo.constant dense<0> : tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 40.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
// CHECK-NOT: tf.Multinomial %samples = "tf.Const"() { value = dense<10> : tensor<i32> } : () -> tensor<i32> %1 = "tf.Multinomial"(%arg0, %samples) {seed = 0, seed2 = 0}: (tensor<2x4xf32>, tensor<i32>) -> tensor<2x10xi32> func.return %1 : tensor<2x10xi32> } // CHECK-LABEL: @set_dynamic_dimension_size
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0)