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Results 31 - 40 of 46 for 1x2xi64 (0.29 sec)
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tensorflow/compiler/mlir/tensorflow/tests/tpu_sharding_identification.mlir
} : (tensor<2x7xi64>) -> (tensor<2x7xi32>) %1 = "tf.Identity"(%0) : (tensor<2x7xi32>) -> tensor<2x7xi32> func.return %1 : tensor<2x7xi32> } // CHECK-LABEL: func @func // CHECK-SAME: %arg0: tensor<2x7xi64> {mhlo.sharding = "\08\03\1A\03\01\01\02\22\02\00\01B\01\00" func.func @func(%arg0: tensor<2x7xi64>) -> (tensor<2x7xi32>) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Feb 20 19:07:52 UTC 2024 - 47.5K 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/tfr/tests/raise_to_tf.mlir
// CHECK: %[[id:.*]] = "tf.RiscSame"(%arg0) : (tensor<1x2x3x4x!tf_type.string>) -> tensor<*x!tf_type.string> // CHECK: %[[es:.*]] = "tf.EnsureShape"(%[[id]]) <{shape = #tf_type.shape<1x2x3x4>}> : (tensor<*x!tf_type.string>) -> tensor<1x2x3x4x!tf_type.string> // CHECK: return %[[es]] : tensor<1x2x3x4x!tf_type.string> } // CHECK-LABEL: decompose_tf_consecutive
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v2/legalize_tf_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 } })"; absl::StatusOr<XlaCompiler::CompilationResult> CompileMlirModule( const char* mlir_module_str, ConfigProto::Experimental::MlirBridgeRollout rollout_state) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 13 23:59:33 UTC 2024 - 16.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/tests/passes/defer_activation_transpose.mlir
stablehlo.return %3 : tensor<f32> }) { window_dimensions = array<i64: 1, 1, 2, 2>, window_strides = array<i64: 1, 1, 2, 2>, padding = dense<[[0, 0], [0, 0], [1, 1], [1, 1]]> : tensor<4x2xi64> } : (tensor<1x4x16x16xf32>, tensor<f32>) -> tensor<1x4x9x9xf32> return %2 : tensor<1x4x9x9xf32> } // CHECK-SAME: %[[ARG:.+]]: tensor<1x16x16x4xf32> // CHECK-DAG: stablehlo.constant
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 18 20:32:46 UTC 2024 - 14.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
// CHECK: "tf.Conv3DBackpropInputV2" } func.func @mul_i64(%arg0: tensor<14xi64>, %arg1: tensor<14xi64>) -> tensor<14xi64> { %0 = "tf.Mul"(%arg0, %arg1) : (tensor<14xi64>, tensor<14xi64>) -> tensor<14xi64> func.return %0: tensor<14xi64> // CHECK-LABEL: mul_i64 // CHECK: tfl.mul %arg0, %arg1 {fused_activation_function = "NONE"} : tensor<14xi64> // CHECK: return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/canonicalize.mlir
func.func @reshape_vector_shape(tensor<4x4x4xf32>) -> tensor<16x4xf32> { ^bb0(%arg0: tensor<4x4x4xf32>) : %shape0 = arith.constant dense<[[16, 4]]> : tensor<1x2xi32> // expected-error @+1 {{'tfl.reshape' op requires 'shape' to be rank 1, but got 2}} %1 = "tfl.reshape"(%arg0, %shape0) : (tensor<4x4x4xf32>, tensor<1x2xi32>) -> tensor<16x4xf32> func.return %1 : tensor<16x4xf32> } // -----
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/stack_ops_decomposition.mlir
// CHECK-NEXT: %[[UPDATE_SLICE:.*]] = "tf.Reshape"(%[[PUSH_VAL]], %[[UPDATE_SHAPE]]) : (tensor<2xi32>, tensor<2xi32>) -> tensor<1x2xi32> // CHECK-NEXT: %[[ZERO_INDS:.*]] = "tf.Const"() <{value = dense<0> : tensor<1xi32>}> : () -> tensor<1xi32> // CHECK-NEXT: %[[CONCAT_DIM:.*]] = "tf.Const"() <{value = dense<0> : tensor<i32>}> : () -> tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 25.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/shape_inference.mlir
} // CHECK-LABEL: func @xla_reduce_window func.func @xla_reduce_window(%arg0: tensor<7xf32>, %arg1: tensor<f32>) -> tensor<?xf32> { %cst = "tf.Const"() {value = dense<0> : tensor<1x2xi32>} : () -> tensor<1x2xi32> %cst_0 = "tf.Const"() {value = dense<1> : tensor<1xi32>} : () -> tensor<1xi32> %cst_1 = "tf.Const"() {value = dense<2> : tensor<1xi32>} : () -> tensor<1xi32>
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/post-quantize.mlir
%cell_input = "tfl.pseudo_qconst"() {qtype = tensor<1x20x!quant.uniform<i16:f32, 0.006:-34>>, value = dense<1> : tensor<1x20xi6>} : () -> tensor<1x20x!quant.uniform<i16:f32, 0.006:-34>> %0 = "tfl.unidirectional_sequence_lstm"(%input, %cst_11, %cst_11, %cst_11, %cst_11, %cst_3, %cst_3, %cst_3, %cst_3, %cst_2, %cst_2, %cst_2,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 19.9K bytes - Viewed (0)