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tensorflow/compiler/jit/node_matchers_test.cc
ops::Placeholder(root.WithOpName("placeholder"), DT_FLOAT); Output const_0d = ops::Const(root.WithOpName("const_0d"), 42); Output const_2d = ops::Const(root.WithOpName("const_2d"), {{1, 2}, {4, 3}}); EXPECT_THAT(const_0d.node(), NodeWith(ConstantValue(42))); EXPECT_THAT(const_0d.node(), NodeWith(ConstantValue(42), Name("const_0d"))); EXPECT_THAT(const_2d.node(), NodeWith(ConstantValue({{1, 2}, {4, 3}})));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 20 14:43:57 UTC 2024 - 9.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/quantize_composite_functions.mlir
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/quantization/stablehlo/tests/components/tf_to_stablehlo.mlir
// CHECK-DAG: %[[CONST_0:.*]] = stablehlo.constant dense<[{{.*}}]> : tensor<2xf32> // CHECK-DAG: %[[CONST_1:.*]] = stablehlo.constant dense<[{{.*}}]> : tensor<2x3x3x2xf32> // CHECK-DAG: %[[CONV:.*]] = stablehlo.convolution(%[[ARG]], %[[CONST_1]]) {{.*}} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x3x2x2xf32> // CHECK-DAG: %[[BROADCAST:.*]] = stablehlo.broadcast_in_dim %[[CONST_0]], dims = [3] : (tensor<2xf32>) -> tensor<1x3x2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 08 20:05:12 UTC 2024 - 13.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/tensorflow/tests/fallback_to_flex_ops_default.mlir
// CHECK-DAG: %[[CONST_0:.*]] = "tf.Const"() <{value = dense<{{.*}}> : tensor<1x1x3x2xf32>}> : () -> tensor<1x1x3x2xf32> // CHECK-DAG: %[[CONST_1:.*]] = "tf.Const"() <{value = dense<-1.000000e+00> : tensor<f32>}> : () -> tensor<f32> // CHECK-DAG: %[[CONST_2:.*]] = "tf.Const"() <{value = dense<1.000000e+00> : tensor<f32>}> : () -> tensor<f32>
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/quantization/stablehlo/tests/passes/lift_quantizable_spots_as_functions.mlir
%3 = stablehlo.add %2, %1 : tensor<1x3xf32> func.return %3: tensor<1x3xf32> } // CHECK: %[[CONST_0:.*]] = stablehlo.constant dense<2.000000e+00> // CHECK: %[[CONST_1:.*]] = stablehlo.constant dense<2.000000e+00> // CHECK: %[[XLA_CALL_MODULE:.*]] = "tf.XlaCallModule"(%arg0, %[[CONST_0]], %[[CONST_1]]) // CHECK: return %[[XLA_CALL_MODULE:.*]] : tensor<1x3xf32> // CHECK: }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 10 04:07:09 UTC 2024 - 49.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/preprocess_op_weight_only.mlir
} // PerTensor-LABEL: func @depthwise_conv // PerTensor-DAG: %[[CONST_0:.*]] = arith.constant dense<0.000000e+00> : tensor<6xf32> // PerTensor: %[[CONST_1:.*]] = arith.constant dense // PerTensor-NOT: tensor<2x3x1x6xf32> // PerTensor-SAME: tensor<2x3x3x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 4.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_drq.mlir
// CHECK: %[[BIASADD_0:.*]] = "tf.BiasAdd"(%[[PARTITIONEDCALL_0]], %[[CONST_0]]) // CHECK: %[[RELU6_0:.*]] = "tf.Relu6"(%[[BIASADD_0]]) // CHECK: %[[PARTITIONEDCALL_1:.*]] = "tf.PartitionedCall"(%arg0, %[[CONST_1]]) // CHECK-SAME: f = @composite_conv2d_fn_1 // CHECK: %[[BIASADD_1:.*]] = "tf.BiasAdd"(%[[PARTITIONEDCALL_1]], %[[CONST_0]]) // CHECK: return %[[RELU6_0]], %[[BIASADD_1]] // CHECK: } // CHECK-LABEL: private @composite_conv2d_fn_2
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 11.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/insert_save_op.mlir
// CHECK-DAG: %[[CONST_0:.*]] = "tf.Const"() <{{{.*value = dense<"var_0"> : tensor<1x!tf_type.string>.*}}}> // CHECK-DAG: %[[CONST_1:.*]] = "tf.Const"() <{{{.*value = dense<""> : tensor<1x!tf_type.string>.*}}}> // CHECK: "tf.SaveV2"(%[[ARG]], %[[CONST_0]], %[[CONST_1]], %[[READ_VARIABLE]]) // CHECK: return } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 5.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_drq_per_channel.mlir
return %0 : tensor<*xf32> } // CHECK-LABEL: func @conv2d // CHECK-DAG: %[[CONST_0:.*]] = arith.constant dense<0.000000e+00> : tensor<2xf32> // CHECK-DAG: %[[CONST_1:.*]] = arith.constant dense<3.000000e+00> : tensor<2x3x512x2xf32> // CHECK: %0 = "quantfork.qcast"(%[[CONST_1]]) : (tensor<2x3x512x2xf32>) -> tensor<2x3x512x2x!quant.uniform<i8<-127:127>:f32:3, {0.023622047244094488,0.023622047244094488}>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_quantize_drq.mlir
return %0 : tensor<*xf32> } // CHECK-LABEL: func @conv2d // CHECK-DAG: %[[CONST_0:.*]] = arith.constant dense<0.000000e+00> : tensor<2xf32> // CHECK-DAG: %[[CONST_1:.*]] = arith.constant dense<3.000000e+00> : tensor<2x3x3x512xf32> // CHECK: %0 = "quantfork.qcast"(%[[CONST_1]]) : (tensor<2x3x3x512xf32>) -> tensor<2x3x3x512x!quant.uniform<i8<-127:127>:f32, 0.023622047244094488>>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.7K bytes - Viewed (0)