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Results 1 - 7 of 7 for 100x50xf32 (0.28 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_initialize_variables_in_session_init.mlir
%1 = "tf.ReadVariableOp"(%0) {device = ""} : (tensor<!tf_type.resource<tensor<100x50xf32>>>) -> tensor<100x50xf32> func.return %1 : tensor<100x50xf32> } // CHECK-LABEL: func @SessionInitializerFunction() // CHECK-SAME: tf_saved_model.exported_names = ["SessionInitializerFunction"]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Oct 19 13:38:14 UTC 2022 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf_saved_model_mark_initialized_variables.mlir
%1 = "tf.ReadVariableOp"(%0) {device = ""} : (tensor<!tf_type.resource<tensor<100x50xf32>>>) -> tensor<100x50xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 2.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/get-arithmetic-count.mlir
func.func @testSoftmax(%arg0: tensor<10x10xf32>) -> tensor<10x10xf32> { // CHECK: _arithmetic_count = 6400 : i64 %0 = "tfl.softmax"(%arg0) {beta = 1.000000e+00 : f32} : (tensor<10x10xf32>) -> tensor<10x10xf32> func.return %0 : tensor<10x10xf32> } func.func @testTanh(%arg0: tensor<10x10xf32>) -> tensor<10x10xf32> { // CHECK: _arithmetic_count = 6400 : i64 %0 = "tfl.tanh"(%arg0) : (tensor<10x10xf32>) -> tensor<10x10xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 14 04:58:17 UTC 2022 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/mlir_passthrough_op.pbtxt
# CHECK:"tf.MlirPassthroughOp" # CHECK: mlir_module = "\0Afunc @main(%arg0 : tensor<10xf32>, %arg1 : tensor<10xf32>) -> tensor<10x10xf32> {\0A %add = \22tf.Add\22(%arg0, %arg1) : (tensor<10xf32>, tensor<10xf32>) -> tensor<10xf32>\0A %ret = \22magic.op\22(%add, %add) : (tensor<10xf32>, tensor<10xf32>) -> tensor<10x10xf32>\0A return %ret : tensor<10x10xf32>\0A}\0A"}> {device = ""} : (tensor<10xf32>, tensor<10xf32>) -> tensor<*xf32> node { name: "x" op: "Placeholder"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/group_by_dialect.mlir
// CHECK-NOT: call // ----- func.func @handles_mhlo_regions() { "glue.someop"() : () -> () %4 = mhlo.constant dense<0.0> : tensor<200x10xf32> %13 = mhlo.constant dense<-0.0> : tensor<f32> %29 = mhlo.reduce(%4 init: %13) applies mhlo.add across dimensions = [1] : (tensor<200x10xf32>, tensor<f32>) -> tensor<200xf32> return } // CHECK: func @handles_mhlo_regions // CHECK: call [[name:@[^(]*]](
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 28 23:43:21 UTC 2022 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/lift_quantizable_spots_as_functions_xla_selective_quantization.mlir
%cst = "tf.Const"() {value = dense<0.000000e+00> : tensor<10xf32>} : () -> tensor<10xf32> %cst_0 = "tf.Const"() {value = dense<[-1, 10]> : tensor<2xi32>} : () -> tensor<2xi32> %1 = "tf.MatMul"(%arg0, %arg1) { transpose_a = false, transpose_b = false } : (tensor<1x10xf32>, tensor<10x10xf32>) -> tensor<1x10xf32> loc(fused["MatMul:", "test_opt_out"])
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/tensorflow/tests/order_by_dialect.mlir
%2:2 = "tf.IteratorGetNext"(%0) {_class = ["loc:@iterator"], device = ""} : (tensor<!tf_type.resource>) -> (tensor<200x28x28x1xf32>, tensor<200x10xf32>) // CHECK: tf.Iterator // CHECK: tf.MakeIterator // CHECK: tf.IteratorGetNext return
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 7.6K bytes - Viewed (0)