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Results 11 - 20 of 35 for 6x3xi8 (0.1 sec)
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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/tensorflow/tests/constant-fold.mlir
} func.func @RemoveTrivialSubInt8(%arg0: tensor<2x2xi8>) -> tensor<2x2xi8> { %cst = arith.constant dense<0> : tensor<2x2xi8> %0 = "tf.Sub"(%arg0, %cst) : (tensor<2x2xi8>, tensor<2x2xi8>) -> tensor<2x2xi8> func.return %0 : tensor<2x2xi8> // CHECK-LABEL: RemoveTrivialSubInt8 // CHECK-NEXT: return %arg0 : tensor<2x2xi8> } func.func @RemoveTrivialMul(%arg0: tensor<2x2xf32>) -> tensor<2x2xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jan 31 23:22:24 UTC 2024 - 36.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-quant.mlir
// CHECK: %[[WHILE_RESULT:.*]]:2 = mhlo.while(%[[ARG0:.*]] = %[[INT0]], %[[ARG1:.*]] = %[[INT1]]) // CHECK-SAME: tensor<2x2xi8>, tensor<2x2xi8> // CHECK: cond // CHECK: do // CHECK: mhlo.return %[[ARG0]], %[[ARG1]] : tensor<2x?xi8>, tensor<?x2xi8> %2:2 = "tf.WhileRegion"(%0, %1) ({ ^bb0(%carg0: tensor<2x2x!tf_type.qint8>, %carg1: tensor<2x2x!tf_type.qint8>):
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/lite/tests/flatbuffer2mlir/quantization.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/quantize.mlir
func.return %1 : tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>> // CHECK: %[[cst:.*]] = "tfl.pseudo_qconst"() <{qtype = tensor<2x2x!quant.uniform<u8:f32, 7.8431372549019615E-4:128>>, value = dense<0> : tensor<2x2xi8>}> // CHECK: return %[[cst]] } // CHECK-LABEL: QuantizeFloatConst4Bits func.func @QuantizeFloatConst4Bits() -> tensor<2x4x!quant.uniform<i4:f32, 2.500000e-01:-1>> {
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/quantization/stablehlo/passes/bridge/convert_tf_quant_types_test.cc
func.func @main(%arg0: tensor<3x3x!tf_type.qint8>, %arg1: tensor<3x3x!tf_type.qint8>) -> tensor<6x3x!tf_type.qint8> { %axis = "tf.Const"() { value = dense<0> : tensor<i64> } : () -> tensor<i64> %1 = "tf.ConcatV2"(%arg0, %arg1, %axis) : (tensor<3x3x!tf_type.qint8>, tensor<3x3x!tf_type.qint8>, tensor<i64>) -> tensor<6x3x!tf_type.qint8> func.return %1 : tensor<6x3x!tf_type.qint8> } })"; CreateModule(kMlirModuleStr);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 09:05:02 UTC 2024 - 4.2K 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/lite/tests/flatbuffer2mlir/constants_offset.mlir
// CHECK-LABEL: @qu8 // CHECK: <{qtype = tensor<3x!quant.uniform<u8<1:255>:f32, 1.000000e+00>>, value = dense<1> : tensor<3xi8>}> : () -> tensor<3x!quant.uniform<u8<1:255>:f32, 1.000000e+00>> %0 = "tfl.pseudo_qconst"() { qtype = tensor<3x!quant.uniform<u8<1:255>:f32, 1.0>>, value = dense<1> : tensor<3xi8>} : () -> tensor<3x!quant.uniform<u8<1:255>:f32, 1.0>> func.return %0 : tensor<3x!quant.uniform<u8<1:255>:f32, 1.0>> }
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/quantize_composite_functions.mlir
return %5 : tensor<1x3xf32> } // CHECK: %[[CONST:.+]] = stablehlo.constant() <{value = dense<127> : tensor<1x2xi8>}> : () -> tensor<1x2x!quant.uniform<i8:f32, {{.*}}>> // CHECK: %[[CONST_0:.+]] = stablehlo.constant() <{value = dense<127> : tensor<2x3xi8>}> : () -> tensor<2x3x!quant.uniform<i8<-127:127>:f32:1, {{.*}}>>
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/optimize_op_order.mlir
func.func @no_pushdown_gather_with_no_reduction(%arg0: tensor<2xi32>) -> tensor<2x2xf32> { %w = "tfl.pseudo_qconst"() {qtype = tensor<2x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>, value = dense<127> : tensor<2x2xi8>} : () -> tensor<2x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>> %dq_w = "tfl.dequantize"(%w) : (tensor<2x2x!quant.uniform<i8<-127:127>:f32, 1.000000e+00>>) -> tensor<2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 01 02:06:15 UTC 2022 - 3.6K bytes - Viewed (0)