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Results 1 - 6 of 6 for 1000xi32 (0.18 sec)
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tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
"args_5"}, %arg6: tensor<?x!tf_type.string> {tf._user_specified_name = "args_6"}, %arg7: tensor<?x?x512xf32> {tf._user_specified_name = "args_7"}, %arg8: tensor<?x?xf32> {tf._user_specified_name = "args_8"}, %arg9: tensor<?x300xi32> {tf._user_specified_name = "args_9"}, %arg10: tensor<?x300xi32> {tf._user_specified_name = "args_10"}, %arg11: tensor<?x300xf32> {tf._user_specified_name = "args_11"}, %arg12: tensor<?x300xf32> {tf._user_specified_name = "args_12"}, %arg13: tensor<?x!tf_type.string> {tf._user_specified_name...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/prepare-composite-functions-tf.mlir
// CHECK-LABEL: func @func_with_call func.func private @some_func(%arg0: tensor<100xf32>) -> tensor<100xf32> attributes {tf.api_implements = "lstm_b4e9f0e7-ac55-42bc-8ef2-8496419a608c"} func.func @func_with_call(%arg0: tensor<100xf32>) -> tensor<100xf32> { %0 = func.call @some_func(%arg0) : (tensor<100xf32>) -> tensor<100xf32> func.return %0 : tensor<100xf32> } } // ----- module {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 122.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/extract_outside_compilation.mlir
tf_device.return %5#0, %5#1, %3 : tensor<?x300xi32>, tensor<?xi32>, tensor<?x4x!tf_type.string> }) {device_assignment = [], num_cores_per_replica = 1 : i64, topology = ""} : () -> (tensor<?x300xi32>, tensor<?xi32>, tensor<?x4x!tf_type.string>) return %0#0, %0#1, %0#2 : tensor<?x300xi32>, tensor<?xi32>, tensor<?x4x!tf_type.string> } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 129.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
%r3 = "tf.Reshape"(%arg2, %shape1) : (tensor<10000xf32>, tensor<2xi32>) -> tensor<100x100xf32> %shape3 = arith.constant dense<[-1, 100]> : tensor<2xi32> %r4 = "tf.Reshape"(%arg2, %shape3) : (tensor<10000xf32>, tensor<2xi32>) -> tensor<100x100xf32> %r5 = "tf.Reshape"(%arg0, %arg3) : (tensor<*xf32>, tensor<*xi32>) -> tensor<*xf32> %r6 = "tf.Reshape"(%arg2, %arg3) : (tensor<10000xf32>, tensor<*xi32>) -> tensor<*xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_rewrite.mlir
tf_device.return %5 : tensor<512xi32> }) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : () -> (tensor<512xi32>, tensor<1024xi32>, tensor<1024xi32>, tensor<1024xf32>) // CHECK: %[[COMPILE_OUTPUT:[0-9]*]]:4 = "tf_device.launch" // CHECK: "tf._TPUCompileMlir"() // CHECK: is_bounded_dynamic_dim: true
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 172.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
// CHECK-LABEL: testMultinomialInt32 func.func @testMultinomialInt32(%arg0: tensor<2xf32>, %arg1: tensor<1xi32>) -> tensor<10xi32> { // CHECK: "tfl.multinomial"(%arg0, %arg1) %0 = "tfl.multinomial"(%arg0, %arg1) {seed = 0 : i64, seed2 = 0: i64} : (tensor<2xf32>, tensor<1xi32>) -> tensor<10xi32> func.return %0 : tensor<10xi32> } // ----- // CHECK-LABEL: testGelu
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0)