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Results 1 - 10 of 43 for 10240xf32 (0.14 sec)
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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/lite/tests/optimize.mlir
%0 = arith.constant dense<-1> : tensor<1xi32> %1 = "tfl.reduce_max"(%arg0, %0) {keep_dims = true} : (tensor<10x10xf32>, tensor<1xi32>) -> tensor<10x1xf32> %2 = tfl.sub(%arg0, %1) {fused_activation_function = "NONE"} : (tensor<10x10xf32>, tensor<10x1xf32>) -> tensor<10x10xf32> %3 = "tfl.exp"(%2) : (tensor<10x10xf32>) -> tensor<10x10xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 20:31:41 UTC 2024 - 284.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/testdata/func_with_dead_ops.mlir
tensor<1024xf32>, tensor<32x1024xf32>, tensor<1024x1xf32>, tensor<1024xf32>, tensor<1024x1xf32>, tensor<i64>, tensor<i32>, tensor<32x1024xf32>, tensor<i64>, tensor<i64>, tensor<1024xf32>, tensor<32x1024xf32>, tensor<1024x1xf32>, tensor<1024xf32>, tensor<1024x1xf32>, tensor<i64>, tensor<i32>, tensor<32x1024xf32>, tensor<i64>, tensor<i64>, tensor<1024xf32>, tensor<32x1024xf32>, tensor<1024x1xf32>, tensor<1024xf32>, tensor<1024x1xf32>, tensor<i64>, tensor<i32>, tensor<32x1024xf32>, tensor<i64>, tensor<i64>, tensor<1024xf32>,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 13 23:22:50 UTC 2024 - 15.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-LABEL: @random_shuffle_1D_10240 func.func @random_shuffle_1D_10240(%input: tensor<10240xf32>) -> tensor<10240xf32> { // CHECK: mhlo.rng{{.*UNIFORM.*}} // CHECK: mhlo.sort // CHECK: mhlo.rng{{.*UNIFORM.*}} // CHECK: mhlo.sort %0 = "tf.RandomShuffle"(%input) : (tensor<10240xf32>) -> (tensor<10240xf32>) func.return %0: tensor<10240xf32> } // ----- // CHECK-LABEL: @random_shuffle_3D
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K 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/quantization/common/attrs_and_constraints_test.cc
module { func.func @main(%arg0: tensor<?x1024xf32>, %arg1: tensor<1024x3xf32>) -> tensor<?x3xf32> attributes {_from_xla_call_module} { %0 = stablehlo.dot_general %arg0, %arg1, contracting_dims = [1] x [0], precision = [] : (tensor<?x1024xf32>, tensor<1024x3xf32>) -> tensor<?x3xf32> return %0 : tensor<?x3xf32> } } )mlir"; constexpr absl::string_view kModuleMultipleUses = R"mlir( module {
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/canonicalize.mlir
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 20.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/materialize_passthrough_op.mlir
func.return %0 : tensor<10x10xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 30 10:34:48 UTC 2022 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/replace_stablehlo_ops_in_main_function_with_xla_call_module_ops.mlir
%8:4 = "tf.CustomAggregator"(%7) {calibration_method = 1 : i32, id = "1", max_percentile = 0.000000e+00 : f32, min_percentile = 0.000000e+00 : f32, num_bins = 0 : i32} : (tensor<1024x3xf32>) -> (tensor<1024x3xf32>, tensor<f32>, tensor<f32>, tensor<*xi64>) %9 = stablehlo.add %8#0, %0 : tensor<1024x3xf32> return %9 : tensor<1024x3xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 01:09:50 UTC 2024 - 39.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/unfold-large-splat-constant.mlir
func.func @unfold_large_constant_splat() -> (tensor<10x10xf32>, tensor<1000x1000xf32>) { %0 = arith.constant dense<0.00000e+00> : tensor<10x10xf32> %1 = arith.constant dense<1.00000e+00> : tensor<1000x1000xf32> func.return %0, %1 : tensor<10x10xf32>, tensor<1000x1000xf32> // CHECK-DAG: %cst = arith.constant dense<0.000000e+00> : tensor<10x10xf32> // CHECK-DAG: %cst_0 = arith.constant dense<1000> : tensor<2xi64>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 26 23:53:32 UTC 2022 - 781 bytes - Viewed (0)