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Results 11 - 20 of 22 for 1xi8 (0.05 sec)
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tensorflow/compiler/mlir/tensorflow/tests/functional-control-flow-to-cfg.mlir
} func.func private @testIf3Then(tensor<*xf32>) -> (tensor<*xf32>, tensor<*xi8>, tensor<*xbf16>) func.func private @testIf3Else(tensor<*xf32>) -> (tensor<*xf32>, tensor<*xi8>, tensor<*xbf16>) // CHECK-LABEL: func @testIf3Result(%arg0: tensor<i1>, %arg1: tensor<*xf32>) func.func @testIf3Result(tensor<i1>, tensor<*xf32>) -> (tensor<*xf32>, tensor<*xi8>, tensor<*xbf16>) { ^bb0(%arg0: tensor<i1>, %arg1: tensor<*xf32>):
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 12.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_composite_functions.mlir
// CHECK-SAME: (tensor<1x2x2x3xi8>, tensor<2x2x3x2xi8>, tensor<2xi32>, tensor<f32>, tensor<i32>, tensor<2xf32>, tensor<2xi32>, tensor<2xf32>, tensor<2xi32>, tensor<f32>, tensor<i32>) -> tensor<*xi8> // CHECK: %[[cast_1:.*]] = "tf.Cast"(%[[conv_quant]]) <{Truncate = false}> : (tensor<*xi8>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Nov 06 01:23:21 UTC 2023 - 15.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_xla.mlir
func.return %11 : tensor<*xf32> } // CHECK: %[[maxpool_i8:.*]] = "tf.MaxPool" // CHECK-SAME: (tensor<*xi8>) -> tensor<*xi8> // CHECK: %[[reshape_i8:.*]] = "tf.Reshape"(%[[maxpool_i8]] // CHECK-SAME: (tensor<*xi8>, tensor<2xi32>) -> tensor<*xi8> // CHECK: %[[scast:.*]] = "quantfork.scast"(%[[reshape_i8]] // CHECK: %[[matmul:.*]] = "tf.PartitionedCall"(%[[scast]] // CHECK-SAME: f = @composite_matmul_fn_1
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 19:32:28 UTC 2024 - 11.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/quantize_weights.mlir
// CHECK: return %[[MATMUL]] : tensor<*xf32> // CHECK-LABEL: func.func private @composite_dequantize_uniform(%arg0: tensor<*xi8>) -> tensor<*xf32> // CHECK-DAG: %[[SCALE:.*]] = "tf.Const"() <{value = dense<0.0157480314> : tensor<f32> // CHECK: %[[CASTED_W:.*]] = "tf.Cast"(%arg0) <{Truncate = false}> : (tensor<*xi8>) -> tensor<*xf32> // CHECK: %[[DEQUANTIZED:.*]] = "tf.Mul"(%[[CASTED_W]], %[[SCALE]]) : (tensor<*xf32>, tensor<f32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 42K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/attrs_and_constraints_test.cc
// Argument has rank 2, but its dimensions are unknown. constexpr absl::string_view kArgumentWithUnknownDims = R"mlir( func.func @unknown_dims_arg(%arg: tensor<?x?xi8>) -> tensor<?x?xi8> { return %arg : tensor<?x?xi8> } )mlir"; OwningOpRef<ModuleOp> module_op = ParseModuleOpString(kArgumentWithUnknownDims); ASSERT_TRUE(module_op);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 22.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
// test stablehlo roundtrip // Identity function to make the exporter happy func.func @main(%arg0: tensor<4xi8>) -> tensor<4xi8> { func.return %arg0 : tensor<4xi8> } //CHECK:func.func @main(%arg0: tensor<4xi8>) -> tensor<4xi8> attributes {tf.entry_function = {inputs = "arg0", outputs = "arg0"}} { //CHECK: return %arg0 : tensor<4xi8> //CHECK:} func.func @logistic(%arg0: tensor<1x1x1x96xf32>) -> tensor<1x1x1x96xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (1) -
tensorflow/compiler/mlir/quantization/common/ir/QuantOps.td
// operate on quantized values. // // Examples from storage to quantized type: // i8 -> !quant<"uniform[i8:f32]{1.0}"> // tensor<4xi8> -> tensor<4x!quant<"uniform[i8:f32]{1.0}">> // vector<4xi8> -> vector<4x!quant<"uniform[i8:f32]{1.0}">> def Quantization_StorageCastOp : Quantization_Op<"scast", [Pure]> { let arguments = (ins quant_RealOrStorageValueType:$arg);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 09 03:10:59 UTC 2024 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.td
// operate on quantized values. // // Examples from storage to quantized type: // i8 -> !quant<"uniform[i8:f32]{1.0}"> // tensor<4xi8> -> tensor<4x!quant<"uniform[i8:f32]{1.0}">> // vector<4xi8> -> vector<4x!quant<"uniform[i8:f32]{1.0}">> def quantfork_StorageCastOp : quantfork_Op<"scast", [Pure]> { let arguments = (ins quant_RealOrStorageValueType:$arg);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Oct 13 12:46:08 UTC 2022 - 10.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/bridge/convert_tf_quant_to_mhlo_int_test.cc
} TEST_F(ConvertTfQuantToMhloIntTest, UniformRequantizeToValidGraph) { constexpr absl::string_view kProgram = R"mlir( func.func @main(%input: tensor<10xi8>) -> tensor<10xi8> { %input_scale = "tf.Const"() { value = dense<0.2235> : tensor<f32> } : () -> tensor<f32> %input_zp = "tf.Const"() { value = dense<-2> : tensor<i32> } : () -> tensor<i32>
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/tf2xla/tests/legalize-tf-prefer-tf2xla.mlir
// CHECK-LABEL: fused_conv2d func.func @fused_conv2d(%input: tensor<1x300x300x40xi8>, %filter: tensor<3x3x40x40xi8>, %bias: tensor<40xf32>, %act: tensor<0xi8>) -> tensor<1x300x300x40xi8> { // CHECK: %[[v0:.*]] = mhlo.constant dense<1.000000e+00> : tensor<f32> // CHECK-NEXT: %[[v1:.*]] = mhlo.constant dense<2.000000e+00> : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 15.8K bytes - Viewed (0)