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Results 1 - 4 of 4 for 10x24x24x64xf32 (0.25 sec)
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tensorflow/compiler/mlir/tf2xla/tests/legalize-tf-with-tf2xla-hlo-importer.mlir
} // CHECK-LABEL: @max_pool_grad_valid // CHECK-SAME: %[[INPUT:.*]]: tensor<10x24x24x64xf32>, %arg1: tensor<10x12x12x64xf32>, %[[GRAD:.*]]: tensor<10x12x12x64xf32> func.func @max_pool_grad_valid(%orig_input: tensor<10x24x24x64xf32>, %orig_output: tensor<10x12x12x64xf32>, %grad: tensor<10x12x12x64xf32>) -> tensor<10x24x24x64xf32> { // CHECK: %[[ZERO:.*]] = mhlo.constant dense<0.000000e+00> : tensor<f32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 06 15:32:52 UTC 2024 - 38.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
func.return %result : tensor<10x24x24x64xf32> } // ----- func.func @testMaxPoolGrad(%orig_input: tensor<10x24x24x64xf32>, %orig_output: tensor<10x12x12x64xf32>, %grad: tensor<12x12x64xf32>) -> tensor<10x24x24x64xf32> { // expected-error @+1 {{requires grad to be rank 4}} %result = "tf.MaxPoolGrad"(%orig_input, %orig_output, %grad) { data_format = "NHWC", ksize = [1, 2, 2, 1],
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/tf2xla/tests/legalize-tf.mlir
func.return %result : tensor<10x24x24x64xf32> } // ----- // CHECK-LABEL: @max_pool_3d_grad_valid // CHECK-SAME: %[[INPUT:.*]]: tensor<10x8x24x24x64xf32>, %arg1: tensor<10x8x12x12x64xf32>, %[[GRAD:.*]]: tensor<10x8x12x12x64xf32> func.func @max_pool_3d_grad_valid(%orig_input: tensor<10x8x24x24x64xf32>, %orig_output: tensor<10x8x12x12x64xf32>, %grad: tensor<10x8x12x12x64xf32>) -> tensor<10x8x24x24x64xf32> {
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/tensorflow/tests/shape_inference.mlir
func.func @shape_from_const_input(%arg0: tensor<3x3x32x64xf32>, %arg1: tensor<200x24x24x64xf32>) -> tensor<?x?x?x?xf32> { %0 = "tf.Const"() {value = dense<[200, 26, 26, 32]> : tensor<4xi32>} : () -> tensor<4xi32> // CHECK: tf.Conv2DBackpropInput // CHECK-SAME: (tensor<4xi32>, tensor<3x3x32x64xf32>, tensor<200x24x24x64xf32>) -> tensor<200x26x26x32xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jan 23 17:24:10 UTC 2024 - 167.4K bytes - Viewed (0)