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Results 11 - 16 of 16 for 2x1xi64 (0.24 sec)
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tensorflow/compiler/mlir/tensorflow/tests/compile_mlir_util/constant-folding.mlir
func.func @main(%arg0: tensor<10x19xf32>, %arg1: tensor<19x10xf32> {mhlo.is_same_data_across_replicas = true}) -> tensor<10x19xf32> { %0 = "tf.Shape"(%arg0) : (tensor<10x19xf32>) -> tensor<2xi64> %1 = "tf.Reshape"(%arg1, %0) : (tensor<19x10xf32>, tensor<2xi64>) -> tensor<10x19xf32> func.return %1 : tensor<10x19xf32> } } // Tests that foldable ops are constant-folded to enable legalization of ops
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jul 25 02:54:34 UTC 2023 - 1.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/verify-tfxla-legalization.mlir
%1 = mhlo.convert %0 : (tensor<f64>) -> tensor<i64> %2 = mhlo.reshape %1 : (tensor<i64>) -> tensor<1xi64> // expected-error @+1 {{Node `mhlo.dynamic_iota` must have compile-time constant}} %3 = "mhlo.dynamic_iota"(%2) <{iota_dimension = 0 : i64}> : (tensor<1xi64>) -> tensor<?xi32> %4 = mhlo.multiply %3, %3 : tensor<?xi32> return %4 : tensor<?xi32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 3.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/convert_func_to_bfloat16.mlir
^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>): %2 = stablehlo.maximum %arg1, %arg2 : tensor<f32> stablehlo.return %2 : tensor<f32> }) {padding = dense<[[0, 0], [1, 1], [1, 1], [0, 0]]> : tensor<4x2xi64>, window_dimensions = array<i64: 1, 3, 3, 1>} : (tensor<2x3x1x3xf32>, tensor<f32>) -> tensor<2x3x1x3xf32> return %1 : tensor<2x3x1x3xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 08 22:40:14 UTC 2024 - 6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/input_lowering_metrics_pass_test.cc
func.func @main() -> () { %cst0 = "tf.Const"(){ value = dense<0> : tensor<3x5xi1>} : () -> tensor<3x5xi1> %0 = "tf.Where"(%cst0) : (tensor<3x5xi1>) -> tensor<?x2xi64> func.return } })"; CellReader<int64_t> dynamism_counter(kDynamismOpCounterStreamzName); CellReader<int64_t> dynamism_function_counter( kDynamismFunctionCounterStreamzName);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Feb 23 19:42:09 UTC 2024 - 4.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/prepare_quantize/prepare_quantize.mlir
^bb0(%arg1: tensor<f32>, %arg2: tensor<f32>): %7 = stablehlo.maximum %arg1, %arg2 : tensor<f32> stablehlo.return %7 : tensor<f32> }) {padding = dense<[[0, 0], [0, 1], [0, 1], [0, 0]]> : tensor<4x2xi64>, window_dimensions = array<i64: 1, 3, 3, 1>, window_strides = array<i64: 1, 2, 2, 1>} : (tensor<?x112x112x64xf32>, tensor<f32>) -> tensor<?x56x56x64xf32> return %6 : tensor<?x56x56x64xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 19:52:06 UTC 2024 - 8.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/decompose_resource_ops.cc
// [counter_lo, counter_hi, key] // // RngReadAndSkip increments the 128 bit counter value by 256 * delta and // returns the original state value. // // For Threefry, the resource variable holds a tensor<2xi64> with the state: // [counter, key] // // RngReadAndSkip increments the 64 bit counter value by 256 * delta and // returns a tensor<3xi64> value [counter, key, 0]. class DecomposeRngReadAndSkipOp : public RewritePattern {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 03 12:35:38 UTC 2022 - 8.1K bytes - Viewed (0)