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Results 21 - 30 of 35 for 3x4xi8 (0.12 sec)
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tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions_weight_only.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 05:56:10 UTC 2024 - 9.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/cc/report_test.cc
TEST_F(QuantizationReportTest, InitializeWithModuleOp) { constexpr absl::string_view kQuantizedDotGeneral = R"mlir( func.func @main(%arg0: tensor<1x2xf32>) -> tensor<1x3xf32> { %0 = stablehlo.constant() {value = dense<127> : tensor<2x3xi8>} : () -> tensor<2x3x!quant.uniform<i8<-127:127>:f32:1, {1.000000e+0,2.000000e+0,3.000000e+0}>> %1 = stablehlo.uniform_quantize %arg0 : (tensor<1x2xf32>) -> tensor<1x2x!quant.uniform<i8:f32, 4.000000e+0>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 10:10:34 UTC 2024 - 18.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_test.cc
module attributes {tf.versions = {bad_consumers = [], min_consumer = 0 : i32, producer = 268 : i32}} { func.func @main() -> () { %cst0 = "tf.Const"(){ value = dense<0> : tensor<3x5xi1>} : () -> tensor<3x5xi1> %0 = "tf.Where"(%cst0) : (tensor<3x5xi1>) -> tensor<?x2xi64> func.return } })"; absl::StatusOr<XlaCompiler::CompilationResult> CompileMlirModule( const char* mlir_module_str,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 23:59:33 UTC 2024 - 16.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/unroll-batch-matmul.mlir
} // ----- func.func @batchMatMulV3MatrixInt8(%arg0: tensor<4x5xi8>, %arg1: tensor<5x6xi8>) -> tensor<4x6xi32> { %0 = "tf.BatchMatMulV3"(%arg0, %arg1) : (tensor<4x5xi8>, tensor<5x6xi8>) -> tensor<4x6xi32> func.return %0 : tensor<4x6xi32> // CHECK-LABEL: batchMatMulV3MatrixInt8 // CHECK: %0 = "tf.BatchMatMulV3"(%arg0, %arg1) : (tensor<4x5xi8>, tensor<5x6xi8>) -> tensor<4x6xi32> // CHECK: return %0 : tensor<4x6xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 06 18:42:28 UTC 2023 - 63.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
func.return %1 : tensor<2x2xf32> } // CHECK-LABEL: dynamic_update_slice // CHECK-SAME: (%[[ARG0:.*]]: tensor<3x4xi32>, %[[ARG1:.*]]: tensor<2x2xi32>, %[[ARG2:.*]]: tensor<2xi32> func.func @dynamic_update_slice(%arg0: tensor<3x4xi32>, %arg1: tensor<2x2xi32>, %arg2: tensor<2xi32>) -> tensor<3x4xi32> { // CHECK: %[[SLICE0:.*]] = "mhlo.slice"(%[[ARG2]]) // CHECK-DAG-SAME: start_indices = dense<0> : tensor<1xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composit_functions_debugging.mlir
// TF-DAG: %[[cc_0:.*]] = "tf.ConcatV2"(%[[pc_1]], %[[pc_5]], %[[cst_0]]) : (tensor<2x2xi8>, tensor<2x2xi8>, tensor<i32>) -> tensor<2x4xi8> // TF-DAG: %[[pc_7:.*]] = "tf.PartitionedCall"(%[[cc_0]], %[[cst_6]], %[[cst_5]]) <{config = "", config_proto = "", executor_type = "", f = @dequantize_i8} // TF-DAG: return %[[pc_7]]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 80.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/bridge/convert_tf_quant_ops_to_mhlo.mlir
%weight_zps = "tf.Const"() { value = dense<3> : tensor<i32> } : () -> tensor<i32> // CHECK: "tf.AddV2" // CHECK: mhlo.constant // CHECK-SAME{LITERAL}: dense<[[1, 2], [3, 4]]> : tensor<2x2xi8> %0 = "tf.AddV2"(%input, %input) : (tensor<?x?xf32>, tensor<?x?xf32>) -> tensor<?x?xf32> // CHECK: "mhlo.dot" // CHECK-SAME: (tensor<?x?xf32>, tensor<2x2x!quant.uniform<i8:f32, 1.000000e+00:3>>) -> tensor<?x?xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 7.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK: %[[OPT_BARRIER:.*]]:2 = mhlo.optimization_barrier %arg0, %arg1 // CHECK-NEXT: return %[[OPT_BARRIER]]#0, %[[OPT_BARRIER]]#1 %0, %1 = "tf.XlaOptimizationBarrier"(%arg0, %arg1) : (tensor<4x4xf32>, tensor<3x4xi32>) -> (tensor<4x4xf32>, tensor<3x4xi32>) func.return %0, %1 : tensor<4x4xf32>, tensor<3x4xi32> } // CHECK-LABEL: @ifRegion
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
func.func @valid_unranked_inputs_on_reshape(%arg0: tensor<3x4xi32>, %arg1: tensor<*xi32>) -> tensor<3x4xi32> { // CHECK: "tfl.reshape"(%arg0, %arg1) %0 = "tfl.reshape"(%arg0, %arg1) : (tensor<3x4xi32>, tensor<*xi32>) -> tensor<3x4xi32> func.return %0 : tensor<3x4xi32> } // ----- // CHECK-LABEL: valid_one_dynamic_dim_on_reshape func.func @valid_one_dynamic_dim_on_reshape(%arg0: tensor<3x4xi32>) -> tensor<1x3x4xi32> {
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/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
// `tfl.slice` when stride is 1. func.func @slice( %arg0: tensor<3x4x!quant.uniform<i8:f32, 2.000000e+00:-1>> ) -> tensor<2x2x!quant.uniform<i8:f32, 2.000000e+00:-1>> { %0 = "stablehlo.slice"(%arg0) { start_indices = array<i64: 1, 2>, limit_indices = array<i64: 3, 4>, strides = array<i64: 1, 1> } : ( tensor<3x4x!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)