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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/vhlo.mlir
//CHECK: %0 = "vhlo.convolution_v1"(%arg0, %arg1) <{ //CHECK-SAME: batch_group_count = #vhlo.integer_v1<1 : i64>, //CHECK-SAME: feature_group_count = #vhlo.integer_v1<32 : i64>, //CHECK-SAME: input_batch_dimension = #vhlo.integer_v1<0 : i64>, //CHECK-SAME: input_feature_dimension = #vhlo.integer_v1<3 : i64>, //CHECK-SAME: input_spatial_dimensions = #vhlo.tensor_v1<dense<[1, 2]> : tensor<2xi64>>, //CHECK-SAME: kernel_input_feature_dimension = #vhlo.integer_v1<2 : i64>,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 14 19:15:40 UTC 2024 - 31.9K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/optimizing-performance/build-cache/build_cache_concepts.adoc
[[concepts_repeatable_task_outputs]] == Repeatable task outputs Assume that you have a code generator task as part of your build. When you have a fully up to date build and you clean and re-run the code generator task on the same code base it should generate _exactly the same output_, so anything that depends on that output will stay up-to-date.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Wed Nov 29 17:38:38 UTC 2023 - 13.4K bytes - Viewed (0) -
docs/en/docs/how-to/sql-databases-peewee.md
On top of that, an async framework could run some sync code in a threadpool (using `asyncio.run_in_executor`), but belonging to the same request.
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Tue Jan 16 13:23:25 UTC 2024 - 23.6K bytes - Viewed (0) -
platforms/documentation/docs/src/docs/userguide/dep-man/03-controlling-transitive-dependencies/dependency_version_alignment.adoc
Dependency version alignment allows different modules belonging to the same logical group (a _platform_) to have identical versions in a dependency graph. == Handling inconsistent module versions Gradle supports aligning versions of modules which belong to the same "platform". It is often preferable, for example, that the API and implementation modules of a component are using the same version.
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon Nov 27 17:53:42 UTC 2023 - 10.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/tests/prepare_lifting.mlir
%cst_0 = "tf.Const"() {value = dense<0.500000e+00> : tensor<2xf32>} : () -> tensor<2xf32> %0 = "tf.Conv2D"(%arg0, %cst) {data_format = "NHWC", dilations = [1, 1, 2, 1], explicit_paddings = [], padding = "SAME", strides = [1, 1, 2, 1], use_cudnn_on_gpu = true} : (tensor<1x3x4x3xf32>, tensor<2x3x3x2xf32>) -> tensor<1x3x2x2xf32> %1 = "tf.AddV2"(%0, %cst_0) : (tensor<1x3x2x2xf32>, tensor<2xf32>) -> tensor<1x3x2x2xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 14 03:24:59 UTC 2024 - 33.3K bytes - Viewed (0) -
subprojects/core/src/integTest/groovy/org/gradle/api/tasks/bundling/ConcurrentArchiveIntegrationTest.groovy
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Mon May 20 17:32:21 UTC 2024 - 28.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/extract_head_tail_outside_compilation.mlir
// CHECK-LABEL: func @head_single_outside_compiled_op func.func @head_single_outside_compiled_op(%arg0: tensor<i32>) { // CHECK: "tf_device.launch" // CHECK-SAME: device = "/job:worker/replica:0/task:0/device:CPU:0" // CHECK-NEXT: "tf.A" // CHECK-NOT: _xla_outside_compilation // CHECK-NEXT: tf_device.return // // CHECK: "tf_device.cluster"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Oct 31 08:59:10 UTC 2023 - 29.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/tests/optimize_layout.mlir
// RUN: odml-to-stablehlo-opt %s --transpose-commute-ops | FileCheck %s // CHECK-LABEL: func.func @commute_transpose_pad( // CHECK-SAME: %[[INPUT:.*]]: tensor<1x112x112x64xf32>, // CHECK-SAME: %[[PAD_VAL:.*]]: tensor<f32>) -> tensor<1x64x114x114xf32> { // CHECK: %[[PAD:.*]] = stablehlo.pad %[[INPUT]], %[[PAD_VAL]], // CHECK: low = [0, 1, 1, 0], high = [0, 1, 1, 0], interior = [0, 0, 0, 0]
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 21:59:06 UTC 2024 - 2.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfrt/tests/tf_to_corert/basic.mlir
// CHECK: tfrt_fallback_async.set_resource // CHECK-SAME: {device = "/device:CPU:0", index = 0 : i64} // CHECK-LABEL: func @init // CHECK-SAME: {tfrt.cost_threshold = 1 : i64} func.func @func_init() attributes {tf_saved_model.exported_names = ["init"]} { func.return } // CHECK-LABEL: func @basic // CHECK-SAME: ([[in_chain:%.*]]: !tfrt.chain // CHECK-SAME: [[arg0:%.*]]: !tfrt_fallback.tf_tensor,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 00:18:59 UTC 2024 - 3.9K bytes - Viewed (0) -
docs/en/docs/tutorial/bigger-applications.md
But it's still part of the same **FastAPI** application/web API (it's part of the same "Python Package"). You can create the *path operations* for that module using `APIRouter`. ### Import `APIRouter` You import it and create an "instance" the same way you would with the class `FastAPI`: ```Python hl_lines="1 3" title="app/routers/users.py"
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 18.6K bytes - Viewed (0)